diff --git a/.github/FUNDING.yml b/.github/FUNDING.yml
new file mode 100644
index 00000000..1b6525f0
--- /dev/null
+++ b/.github/FUNDING.yml
@@ -0,0 +1 @@
+github: visualpython
diff --git a/.github/ISSUE_TEMPLATE/content-contribution.md b/.github/ISSUE_TEMPLATE/content-contribution.md
new file mode 100644
index 00000000..e8f3a92e
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/content-contribution.md
@@ -0,0 +1,16 @@
+---
+name: Content contribution
+about: Share contents to encourage using visualpython (e.g. gitbook, Youtube, blog,
+ ...)
+title: ''
+labels: documentation
+assignees: ''
+
+---
+
+**Share created contents**
+Write and share your contents to encourage using visualpython.
+Use external links to share your contents.
+
+**Need help**
+If you need help for creating contents, you can request other contributors to join.
diff --git a/.github/ISSUE_TEMPLATE/design-fix.md b/.github/ISSUE_TEMPLATE/design-fix.md
new file mode 100644
index 00000000..a3eb3813
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/design-fix.md
@@ -0,0 +1,18 @@
+---
+name: Design fix
+about: Suggest an idea for design and ui
+title: ''
+labels: design fix
+assignees: ''
+
+---
+
+**Is your suggestion related to a problem? Please describe.**
+A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
+
+**Describe the design/style you'd like**
+A clear and concise description of what you want to happen.
+Design images needed to clearly understand
+
+**Additional context**
+Add any other context or screenshots about the design suggestion here.
diff --git a/.gitignore b/.gitignore
index 3d5e7b9f..8eaa6c8d 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,8 @@
-# ignore vscode intellisense compile option file
-jsconfig.json
-new/*
\ No newline at end of file
+dist/
+jupyterlab/_output
+jupyterlab/.jupyterlite.doit*
+jupyterlab/lib/visualpython
+jupyternotebook/visualpython
+colab/visualpython
+test/
+.gitignore
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 84317c2d..6d4d954b 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -17,7 +17,8 @@ and your contribution would be greatly appreciated !
NOTE : Any submissions are understood to be under the same GPLv3 License that covers the project.
-* GUI Kit available as a Figma library: [Visual Python GUI Kit 1.0](https://www.figma.com/community/file/976035035360380841).
+* Programming Guide: [Developer Documentation](https://bird-energy-733.notion.site/visualpython-docs-85c0274ff7564747bb8e8d77909fc8b7)
+* GUI Design Guide: [Visual Python GUI Kit 1.0](https://www.figma.com/community/file/976035035360380841)
### Creating an issue
@@ -60,4 +61,3 @@ NOTE : Your work can be of great help for someone who struggles to find a soluti
NOTE : Recommend reading [Figma: Publish Community files](https://help.figma.com/hc/en-us/articles/360040035974-Publish-Community-files) before starting the work for better understanding of the system.
-
diff --git a/GOVERNANCE.md b/GOVERNANCE.md
new file mode 100644
index 00000000..ba647d1a
--- /dev/null
+++ b/GOVERNANCE.md
@@ -0,0 +1,63 @@
+# Overview
+This project is led by a benevolent dictator and managed by the community. That is, the community actively contributes to the day-to-day maintenance of the project, but the general strategic line is drawn by the benevolent dictator. In case of disagreement, they have the last word. It is the benevolent dictator’s job to resolve disputes within the community and to ensure that the project is able to progress in a coordinated way. In turn, it is the community’s job to guide the decisions of the benevolent dictator through active engagement and contribution.
+
+# Roles And Responsibilities
+
+### Benevolent dictator (Project lead)
+
+Typically, the benevolent dictator, or project lead, is self-appointed. However, because the community always has the ability to fork, this person is fully answerable to the community. The project lead’s role is a [difficult one](http://producingoss.com/html-chunk/social-infrastructure.html#benevolent-dictator-qualifications): they set the strategic objectives of the project and communicate these clearly to the community. They also have to understand the community as a whole and strive to satisfy as many conflicting needs as possible, while ensuring that the project survives in the long term.
+
+In many ways, the role of the benevolent dictator is less about dictatorship and more about diplomacy. The key is to ensure that, as the project expands, the right people are given influence over it and the community rallies behind the vision of the project lead. The lead’s job is then to ensure that the committers (see below) make the right decisions on behalf of the project. Generally speaking, as long as the committers are aligned with the project’s strategy, the project lead will allow them to proceed as they desire.
+
+### Committers
+
+Committers are contributors who have made several valuable contributions to the project and are now relied upon to both write code directly to the repository and screen the contributions of others. In many cases they are programmers but it is also possible that they contribute in a different [role](http://oss-watch.ac.uk/resources/rolesinopensource). Typically, a committer will focus on a specific aspect of the project, and will bring a level of expertise and understanding that earns them the respect of the community and the project lead. The role of committer is not an official one, it is simply a position that influential members of the community will find themselves in as the project lead looks to them for guidance and support.
+
+Committers have no authority over the overall direction of the project. However, they do have the ear of the project lead. It is a committer’s job to ensure that the lead is aware of the community’s needs and collective objectives, and to help develop or elicit appropriate contributions to the project. Often, committers are given informal control over their specific areas of responsibility, and are assigned rights to directly modify certain areas of the source code. That is, although committers do not have explicit decision-making authority, they will often find that their actions are synonymous with the decisions made by the lead.
+
+### Contributors
+
+Contributors are community members who either have no desire to become committers, or have not yet been given the opportunity by the benevolent dictator. They make valuable contributions, such as those outlined in the list below, but generally do not have the authority to make direct changes to the project code. Contributors engage with the project through communication tools, such as email lists, and via reports and [patches](http://oss-watch.ac.uk/resources/softwarepatch) attached to issues in the issue tracker, as detailed in our [community tools document](http://oss-watch.ac.uk/resources/communitytools).
+
+Anyone can become a contributor. There is no expectation of commitment to the project, no specific skill requirements and no selection process. To become a contributor, a community member simply has to perform one or more actions that are beneficial to the project.
+
+Some contributors will already be engaging with the project as users, but will also find themselves doing one or more of the following:
+
+- supporting new users (current users often provide the most effective new user support)
+- reporting bugs
+- identifying requirements
+- supplying graphics and web design
+- programming
+- assisting with project infrastructure
+- writing documentation
+- fixing bugs
+- adding features
+
+As contributors gain experience and familiarity with the project, they may find that the project lead starts relying on them more and more. When this begins to happen, they gradually adopt the role of committer, as described above.
+
+### Users
+
+Users are community members who have a need for the project. They are the most important members of the community: without them, the project would have no purpose. Anyone can be a user; there are no specific requirements.
+
+Users should be encouraged to participate in the life of the project and the community as much as possible. User contributions enable the project team to ensure that they are satisfying the needs of those users. Common user activities include (but are not limited to):
+
+- evangelising about the project
+- informing developers of project strengths and weaknesses from a new user’s perspective
+- providing moral support (a ‘thank you’ goes a long way)
+- providing financial support
+
+Users who continue to engage with the project and its community will often find themselves becoming more and more involved. Such users may then go on to become contributors, as described above.
+
+# Support
+
+All participants in the community are encouraged to provide support for new users within the project management infrastructure. This support is provided as a way of growing the community. Those seeking support should recognise that all support activity within the project is voluntary and is therefore provided as and when time allows. A user requiring guaranteed response times or results should therefore seek to purchase a support contract from a vendor. (Of course, that vendor should be an active member of the community.) However, for those willing to engage with the project on its own terms, and willing to help support other users, the community support channels are ideal.
+
+# Contribution Process
+
+Anyone can contribute to the project, regardless of their skills, as there are many ways to contribute. For instance, a contributor might be active on the project mailing list and issue tracker, or might supply [patches](http://oss-watch.ac.uk/resources/softwarepatch). The various ways of contributing are described in more detail in our [roles in open source](http://oss-watch.ac.uk/resources/rolesinopensource) document.
+
+The developer mailing list is the most appropriate place for a contributor to ask for help when making their first contribution.
+
+# Decision-Making Process
+
+The benevolent dictatorship model does not need a formal conflict resolution process, since the project lead’s word is final. If the community chooses to question the wisdom of the actions of a committer, the project lead can review their decisions by checking the email archives, and either uphold or reverse them.
diff --git a/LICENSE b/LICENSE
index f288702d..88968b46 100644
--- a/LICENSE
+++ b/LICENSE
@@ -1,4 +1,13 @@
- GNU GENERAL PUBLIC LICENSE
+
+=======================================================================
+The Visual Python is licensed under the GNU General Public License
+version 3.0 with the addition of the following special exception:
+=======================================================================
+As a special exception, you may copy, modify and distribute the codes
+generated by Visual Python under terms of your choice.
+=======================================================================
+
+ GNU GENERAL PUBLIC LICENSE
Version 3, 29 June 2007
Copyright (C) 2007 Free Software Foundation, Inc.
diff --git a/README.md b/README.md
index ef7e57f5..6b4bcd90 100644
--- a/README.md
+++ b/README.md
@@ -1,71 +1,94 @@
-# Visual Python
-[](https://pypi.python.org/pypi/visualpython/)
-[](https://www.gnu.org/licenses/gpl-3.0.html)
-[](https://github.com/visualpython/visualpython/blob/main/CODE_OF_CONDUCT.md)
+
-## Introduction
-Visual Python is a GUI-based Python code generator, developed on the Jupyter Notebook environment as an extension.
-
-
+[](https://pypi.python.org/pypi/jupyterlab-visualpython/)
+
+[](https://github.com/visualpython/visualpython/blob/main/LICENSE)
+[](https://pepy.tech/project/visualpython)
+[](https://github.com/visualpython/visualpython/issues)
+[![lite-badge]][lite]
-1. Key Features
-* Automatically generates Python code based on a graphic user interface
-* Creates code blocks by tasks (such as data processing, visualization)
-* You can save the analysis process and share it (as .vp file) with others
+[lite-badge]: https://jupyterlite.rtfd.io/en/latest/_static/badge.svg
+[lite]: https://visualpython.github.io/visualpython-lite/lab/index.html
-2. Who and What is it for?
-Visual Python is a data analytics solution for both Programmers & Non-programmers.
+## Introduction
+Visual Python is a GUI-based Python code generator, developed on the **[Jupyter Lab](#getting-started-with-jupyter-lab)**, **[Jupyter Notebook](#getting-started-with-jupyter-notebook-7x)** and **[Google Colab](#getting-started-with-google-colab)** as an extension. You can also simply use Visual Python using **[Visual Python Desktop](#getting-started-with-visual-python-desktop)**.
+Visual Python is an open source project started for students who struggle with coding during Python classes for data science.
-Programmers can use the tool :
-* to save & reuse user-defined (or repeatedly used) code
-* to find Python packages and functions from the list
+
-Non-programmers will be able to :
-* learn the Python language more easily
-* manage big data with minimal coding skills
+Try Visual Python if you would like to:
+* manage big data with minimal coding skills.
+* help students / business analysts / researchers to overcome learning barriers for Python.
+* save & reuse repeatedly used codes(snippets).
+
+
-## Getting Started
+## Getting Started with Jupyter Lab
### 1. Requirements
-Visual Python is developed as an extension on Jupyter Notebook.
-We recommend installing Anaconda (virtual environment).
-
+Visual Python is an extension to Jupyter Lab, so you must have Jupyter Lab installed already.
- Python version 3.x
-- Jupyter notebook or Anaconda env
+- Jupyter lab environment
### 2. How to Install
-**1) Open Anaconda prompt**
-
-* Windows : Click Start > Search or Select 'Anaconda Prompt'
-* Mac : Open Launchpad > Select 'Terminal'
-
-**2) Install package from**
+**1) Install package from PyPI**
```
-pip install visualpython
+pip install jupyterlab-visualpython
```
-
+- If you are using **Jupyter Lab version <= 3.x.x**, please install `jupyterlab-visualpython==2.5.0`
+ ```
+ pip install jupyterlab-visualpython==2.5.0
+ ```
+
+**2) Activate Visual Python on Jupyter Lab**
+
+Click orange square button on the right side of Jupyter Lab.
+
+## Getting Started with Jupyter Notebook 7
+
+### 1. Requirements
+
+Visual Python is an extension to Jupyter Notebook, so you must have Jupyter Notebook installed already. You need latest version of Jupyter Notebook over version 7.x.x.
+- Python version 3.x
+- Jupyter notebook environment >= 7.x
-Depending on your virtual environment settings, you may need to install Jupyter Extensions.
-To install Jupyter Extension, use commands either:
+### 2. How to Install
+
+**1) Install package from PyPI**
```
-pip install jupyter_contrib_nbextensions
+pip install jupyterlab-visualpython
```
-or
+
+**2) Activate Visual Python on Jupyter Notebook**
+
+Click orange square button on the toolbar of Jupyter Notebook.
+
+## Getting Started with Jupyter Notebook (for 6.x.x and older version)
+
+### 1. Requirements
+
+Visual Python is an extension to Jupyter Notebook, so you must have Jupyter Notebook installed already. You need old version of Jupyter Notebook under version 6.x.x.
+- Python version 3.x
+- Jupyter notebook environment <= 6.x
+
+### 2. How to Install
+
+**1) Install package from PyPI**
```
-conda install -c conda-forge jupyter_contrib_nbextensions
+pip install visualpython
```
-**3) Enable the package**
+**2) Enable the package**
```
visualpy install
```
-**4) Activate Visual Python on Jupyter Notebook**
+**3) Activate Visual Python on Jupyter Notebook**
-Click orange square button on the right side of the Jupyter Notebook menu.
+Click orange square button on the toolbar of Jupyter Notebook.
### 3. Package Control Info
* Usage: visualpy **[option]**
@@ -73,22 +96,80 @@ Click orange square button on the right side of the Jupyter Notebook menu.
```
help - show help menu
+install - install packages
uninstall - uninstall packages
upgrade - version upgrade
version - version check
```
+## Getting Started with Google Colab
+### 1. Requirements
-## Mission & Vision
-**Mission**
-To support technology and education so that anyone can leverage big data analytics to create a variety of social values.
+Visual Python is an extension to Google Colab, so you must have Google Colab opened.
+- Google Colab
-**Vision**
-To create an environment where everyone can learn and use big data analytics skills easily.
+### 2. How to Install
+
+**1) Install package using Chrome Web Store**
+- [Link to Visual Python for Colab](https://chrome.google.com/webstore/detail/visual-python-for-colab/ccmkpknjfagaldcgidgcipbpdipfopob)
+
+**2) Open Google Colab**
+- [Link to Google Colab](https://colab.research.google.com/)
+
+**3) Activate Visual Python on Google Colab**
+
+
+## Getting Started with Visual Python Desktop
+### 1. Introduction
+Visual Python Desktop is an installer to create an isolated jupyter environment and enable to use Visual Python easily.
+
+It simplifies the process of configuring an independent Python environment, installing essential packages, and setting up a Jupyter environment, allowing users to focus on data analysis using python.
+
+### 2. Requirements
+- Operating System: Windows 10 or later (macOS and Linux support coming soon)
+- Minimum 4GB RAM, recommended 8GB RAM or higher
+- Minimum 10GB of disk space
+
+### 3. How to Install
+1) Download Visual Python Desktop installer from homepage.
+ - [Link to Visual Python Desktop installer page](https://visualpython.ai/visualpython-desktop)
+
+2) Run the installer and follow the provided instructions for the installation process.
+
+3) Use the shortcut created in Start menu or on Desktop to execute Jupyter Notebook (Visual Python), Jupyter Lab (Visual Python), and Visual Python Prompt according to your needs.
## Contributing
If you are interested in contributing to the Visual Python, please see [`CONTRIBUTING.md`](CONTRIBUTING.md).
All skills from programmers, non-programmers, designers are welcomed.
+* Programming Guide: [Developer Documentation](https://bird-energy-733.notion.site/visualpython-docs-85c0274ff7564747bb8e8d77909fc8b7)
+* GUI Design Guide: [Visual Python GUI Kit 1.0](https://www.figma.com/community/file/976035035360380841)
+
+### Maintainers & Contributors
+[](https://github.com/visualpython)
+[](https://github.com/leeraejung)
+[](https://github.com/minjk-bl)
+[](https://github.com/llbtl)
+[](https://github.com/blacklogicdev)
+[](https://github.com/Minku-Koo)
+[](https://github.com/8orrin9)
+
+Whoever wants to contribute or join our community,
+You can contact us by creating issues on [Issue page](https://github.com/visualpython/visualpython/issues) or using [Discord server](https://discord.gg/PypQrBZWZv).
+
+
## License
-GNU GPLv3 (See LICENSE file).
+GNU GPLv3 with Visual Python special exception (See LICENSE file).
+
+## Mission & Vision
+**Mission**
+To support technology and education so that anyone can leverage big data analytical skills to create a variety of social values.
+
+**Vision**
+To create an environment where everyone can learn and use big data analytical skills easily.
+
+## Support Visual Python
+Love Visual Python?
+Your support will help us continue to actively develop and improve Visual Python.☕
+
+[](https://github.com/sponsors/visualpython?frequency=recurring)
diff --git a/bin/visualpy b/bin/visualpy
deleted file mode 100644
index 9fda2784..00000000
--- a/bin/visualpy
+++ /dev/null
@@ -1,325 +0,0 @@
-#============================================================================
-#!/bin/sh
-#============================================================================
-# Filename : visualpy
-# function : control visualpython for Mac/Linux
-# Creator : BlackLogic - LJ
-# version : 2.1
-# License :
-# Date : 2020 07.27
-# Mdate : 2020 12.29
-#============================================================================
-
-v_path1=`pip show visualpython | grep Location | awk -F': ' '{print $2}'`
-v_prod='visualpython'
-v_str1='jupyter nbextension'
-v_str2='visualpython/src/main'
-v_unst='pip uninstall '${v_prod}
-v_upgr='pip install '${v_prod}' --upgrade'
-#v_srch='pip search '${v_prod}
-v_str3='pip list -o '
-v_str4='pip show '${v_prod}
-#v_list=`${v_str3} | grep -i ${v_prod}`
-v_curt=`${v_str4} | grep 'Version' | cut -d ' ' -f 2`
-v_option=$1
-
-
-#echo ${v_list}
-#exit
-
-# main function
-f_main() {
- case ${v_option} in
- enable | -E | -e)
- f_enable ;;
- disable | -D | -d)
- f_disable ;;
- install | -I | -i)
- f_install ;;
- uninstall | -UN | -un)
- f_uninstall ;;
- upgrade | -UP | -up)
- f_upgrade ;;
- version | -V | -v)
- f_version ;;
- help | -H | -h )
- f_help ;;
- *)
- f_help;;
- esac
-}
-
-f_check_conda() {
- if hash conda-env 2>/dev/null; then
- echo 1
- else
- echo 0
- fi
-}
-
-f_setting_path() {
- v_return=$( f_check_conda )
- # 0 == not a conda env
- # 1 == conda env
- if [ $v_return -eq 0 ]; then
- v_path2=`jupyter --data-dir`/nbextensions
- else
- v_path2=`conda-env list | grep "*" | awk '{print $NF}'`/share/jupyter/nbextensions/
- fi
- echo ${v_path2}
-}
-
-# install visualpython function
-f_install() {
- v_return=$( f_check_extension )
- # 1 == extension not active
- # 2 == visualpython not exists
- # 3 == visualpython exists
- mkdir -p ${v_path2}${v_prod}
-
- if [ ${v_return} -eq 1 ]; then
- f_prt_extensiondir
- elif [ ${v_return} -eq 3 ]; then
- # overwrite
- f_prt_visualpythondir
- f_disable
- f_remove_files
- f_copy_files
- f_enable
- else
- f_copy_files
- f_enable
- fi
-}
-
-# uninstall visualpython function
-f_uninstall() {
- v_return=$( f_check_extension )
- # 1 == extension not active
- # 2 == visualpython not exists
- # 3 == visualpython exists
-
- if [ ${v_return} -eq 3 ]; then
- f_prt_line1
- f_disable
- f_prt_line2
- f_remove_files
- f_prt_line2
- ${v_unst}
- f_prt_line1
- elif [ ${v_return} -eq 2 ]; then
- f_prt_line2
- ${v_unst}
- f_prt_line2
- fi
-}
-
-# upgrade visualpython package
-f_upgrade() {
-
-# v_return=$( f_version_cmp )
-# 0 == upgrade
-# 1 == pass
-
- # setting current version
- # v_curt=`${v_str4} | grep 'Version' | cut -d ' ' -f 2`
-
- f_prt_line1
- echo "running upgrade"
- f_prt_line2
- ${v_upgr}
-
- # setting last version
- v_last=`${v_str4} | grep 'Version' | cut -d ' ' -f 2`
-
- if [ ${v_curt} = ${v_last} ]; then
- f_prt_line2
- echo "Already installed last Visual Python version."
- f_prt_line2
- echo "Installed version : "${v_curt}
- echo "Last Release version : "${v_last}
- f_prt_line1
- else
- f_prt_line2
- f_disable
- f_copy_files
- f_enable
- f_prt_line1
- fi
-}
-
-# enable visualpython function
-f_enable() {
- v_return=$( f_check_extension )
- if [ ${v_return} -eq 3 ]; then
- ${v_str1} enable ${v_str2}
- fi
-}
-
-# disable visualpython function
-f_disable() {
- v_return=$( f_check_extension )
- if [ ${v_return} -eq 3 ]; then
- ${v_str1} disable ${v_str2}
- fi
-}
-
-
-# check visualpython files function
-f_check_extension() {
- if [ ! -e ${v_path2} ]; then
- echo 1
- elif [ ! -e ${v_path2}/${v_prod} ]; then
- echo 2
- else
- echo 3
- fi
-}
-
-# current visualpython version, last release version
-f_version() {
- v_result=${v_list}
- f_prt_line1
- echo "Check visualpython version"
- f_prt_line2
-
- if [ 0 -eq ${#v_result} ]; then
- echo "Already installed last version"
- f_prt_line2
- v_ver=`${v_str4} | grep Version | awk '{print $2}'`
- echo "Installed version : "${v_ver}
- echo "Last Release version : "${v_ver}
- else
- v_idx=1
- for v_info in ${v_result}
- do
- if [ ${v_idx} -eq 2 ]; then
- echo "Installed version : "${v_info}
- elif [ ${v_idx} -eq 3 ]; then
- echo "Last Release version : "${v_info}
- fi
- v_idx=`expr $v_idx + 1`
- done
- fi
- f_prt_line1
-}
-
-## version compare
-f_version_cmp() {
- v_result=${v_list}
- if [ 0 -ne ${#v_result} ]; then
- ## upgrade
- echo 0
- else
- echo 1
- fi
-}
-
-# copy visualpython function
-f_copy_files() {
- f_prt_line1
- echo "Copy visualpyhthon extension files ..."
- f_prt_line2
- echo "Source Dir : " ${v_path1}/${v_prod}
- echo "Target Dir : " ${v_path2}${v_prod}
- f_prt_line1
- cp -Rp ${v_path1}/${v_prod} ${v_path2}/.
-}
-
-f_prt_line1() {
- echo "============================================================================================"
-
-}
-
-f_prt_line2() {
- echo "--------------------------------------------------------------------------------------------"
-
-}
-
-# remove visualpython function
-f_remove_files() {
- f_prt_line1
- if [ -e ${v_path2}/${v_prod} ]; then
- echo "Remove Visual Python Directories."
- echo "Target Dir : " ${v_path2}
- \rm -rf ${v_path2}/${v_prod}
- else
- echo "not exists visualpython dir"
- fi
-}
-
-# overwrite visualpython function
-f_overwrite() {
- v_return=$( f_check_extension )
- # 1 == extension not active
- # 2 == visualpython not exists
- # 3 == visualpython exists
- echo ${v_return}
- echo ${v_path2}
- if [ ${v_return} -eq 1 ]; then
- f_prt_extensiondir
- elif [ ${v_return} -eq 3 ]; then
- f_disable
- f_remove_files
- f_copy_files
- f_enable
- else
- f_install
- fi
-}
-
-# help options
-f_help() {
- echo ""
- echo "usage: visualpy [option]"
- echo ""
- echo "optional arguments:"
- echo " help, -h, -H, show this help message and exit"
- echo " enable, -E, -e enable Visual Python"
- echo " disable, -D, -d disable Visual Python"
- echo " install, -i, -I install Visual Python extensions"
- echo " uninstall, -un, -UN uninstall Visual Python packages"
- echo " upgrade, -up, -UP upgrade Visual Python Package"
- echo " version, -V, -v show Visual Python release & current version"
- echo ""
-}
-
-# print extension not installed
-f_prt_extensiondir() {
- echo "Nbextension not activated"
- echo "Plz install nbextension"
- f_prt_line1
- echo "for conda env"
- echo "conda install -c conda-forge jupyter_contrib_nbextensions"
- echo "jupyter contrib nbextension install --user"
- f_prt_line2
- echo "for pip"
- echo "pip install -e jupyter_contrib_nbextensions"
- echo "jupyter contrib nbextension install --user"
- f_prt_line1
-}
-
-# print visualpython exists
-f_prt_visualpythondir() {
- f_prt_line1
- echo "Already exists Visual Python."
- f_prt_line1
-}
-
-# print other messages
-f_prt_other_massages() {
- echo "invalid option : " ${v_option}
- echo "Please check Visual Python option cmd"
- echo "cmd : visualpy -h "
-
-}
-
-# execute main
-v_path2=$( f_setting_path )
-f_main
-
-exit
-
-#============================================================================
-#End of File
-#============================================================================
diff --git a/bin/visualpy.bat b/bin/visualpy.bat
deleted file mode 100644
index 79bfa0d8..00000000
--- a/bin/visualpy.bat
+++ /dev/null
@@ -1,250 +0,0 @@
-@echo off
-SetLocal
-rem #==========================================================================
-rem # Filename : visualpy.bat
-rem # function : control Visual Python for windows
-rem # Creator : BlackLogic - LJ
-rem # version : 2.1
-rem # License : GPLv3
-rem # Date : 2020 07.30
-rem # MDate : 2020 12.29
-rem #==========================================================================
-
-rem ## setting variables
-
-set v_prod=visualpython
-(echo "%v_prod%" & echo.) | findstr /O . | more +1 | (set /P RESULT= & call exit /B %%RESULT%%)
-set /A v_prd_length=%ERRORLEVEL%-5
-set v_option=%1
-for /f "delims=, tokens=1*" %%i in ('pip show %v_prod% 2^>^&1 ^| find "Location"') do (
-set v_1=%%i)
-set v_path1=%v_1:~10%
-set v_str1=jupyter nbextension
-set v_str2=%v_prod%/src/main
-set v_srch=pip search %v_prod%
-set v_upgr=pip install %v_prod% --upgrade
-set v_unst=pip uninstall %v_prod%
-set v_ckup=pip list -o
-set v_show=pip show %v_prod%
-
-rem check env & setting path2
-where /q conda-env
-IF ERRORLEVEL 1 (
- call :l_prt_be_line
- ECHO Not a conda env.
- set v_path2=%APPDATA%\jupyter\nbextensions\
-) ELSE (
- call :l_prt_be_line
- ECHO conda env.
- set v_path2=%v_path1:~,-18%\share\jupyter\nbextensions\
-)
-
-rem ## Main Block
-:l_main
- IF /i "%v_option%"=="" goto :l_help
-
- for %%i in (-h help) do if /i %v_option% == %%i call :l_help
- for %%i in (-e enable) do if /i %v_option% == %%i call :l_enable
- for %%i in (-d disable) do if /i %v_option% == %%i call :l_disable
- for %%i in (-i install) do if /i %v_option% == %%i call :l_install
- for %%i in (-up upgrade) do if /i %v_option% == %%i call :l_upgrade
- for %%i in (-v version) do if /i %v_option% == %%i call :l_version
- for %%i in (-ce checkext) do if /i %v_option% == %%i call :l_check_extension
- for %%i in (-cb checkbpl) do if /i %v_option% == %%i call :l_check_visualpython
- for %%i in (-un uninstall) do if /i %v_option% == %%i goto :l_uninstall
- goto :eof
-
-rem ## Function Block
-:l_help
- echo.
- echo usage: visualpy option
- echo optional arguments:
- echo -h, help show this help message and exit
- echo -e, enable enable Visual Python
- echo -d, disable disable Visual Python
- echo -i, install install Visual Python extensions
- echo -un, uninstall uninstall Visual Python packages
- echo -up, upgrade upgrade Visual Python Package
- echo -v, version show Visual Python current version
- echo.
- goto :eof
-
-:l_check_extension
- IF NOT EXIST "%v_path2%" call :l_prt_extensiondir
- goto :eof
-
-:l_check_visualpython
- IF EXIST "%v_path2%%v_prod%" (
- set v_flag=1
- ) ELSE (
- set v_flag=2
- )
- goto :eof
-
-:l_install
- rem "" is for envname with space.
- IF EXIST "%v_path2%%v_prod%" ( call :l_prt_be_line
- echo Check installed %v_prod% Path :
- echo %v_path2%%v_prod%
- call :l_prt_visualpythondir
- call :l_overwrite
- ) ELSE ( call :l_copy_files
- call :l_enable
- )
- goto :eof
-
-:l_enable
- call :l_prt_be_line
- %v_str1% enable %v_str2%
- call :l_prt_af_line
- goto :eof
-
-:l_disable
- call :l_prt_af_line
- %v_str1% disable %v_str2%
- call :l_prt_af_line
- goto :eof
-
-:l_overwrite
- rem if visaulpython 없는경우 install로 수행
- rem else remove & install
- call :l_disable
- call :l_remove_files
- call :l_copy_files
- call :l_enable
- goto :eof
-
-:l_copy_files
- call :l_prt_be_line
- echo source : %v_path1%\%v_prod%\
- rem "" is for envname with space.
- xcopy /q /y /e "%v_path1%\%v_prod%" "%v_path2%%v_prod%\"
- echo target : %v_path2%%v_prod%\
- call :l_prt_af_line
- goto :eof
-
-:l_remove_files
- call :l_prt_be_line
- echo Remove Visual Python Directories.
- rem "" is for envname with space.
- rmdir /s /q "%v_path2%%v_prod%"
- call :l_prt_af_line
- goto :eof
-
-:l_upgrade
- call :l_prt_af_line
- echo Running upgrade visualpython.
- call :l_prt_af_line
- rem setting current version
- for /f "tokens=*" %%i in ( '%v_show% 2^>^&1 ^| findstr /i Version') do (
- set v_currentver=%%i
- )
-
- rem running version upgrade
- %v_upgr%
-
- rem setting last installed version
- for /f "tokens=*" %%i in ( '%v_show% 2^>^&1 ^| findstr /i Version') do (
- set v_lastver=%%i
- )
- set v_install= Installed %v_currentver%
- set v_last=Last Release %v_lastver%
-
- call :l_prt_af_line
-
- if not %v_lastver:~9% == %v_currentver:~9% (
- echo change visualpython extension files ...
- call :l_disable
- call :l_copy_files
- call :l_enable
- ) else (
- echo Already installed last Visual Python version.
- call :l_print_version
- )
- goto :eof
-
-:l_version
- rem call :l_prt_be_line
-
- for /f "tokens=*" %%i in ('%v_ckup% 2^>^&1 ^| find /i "%v_prod%"') do ( set v_info=%%i )
-
- if "%v_info%."=="." (
- rem pass upgrade
- for /f "tokens=*" %%i in ( '%v_show% 2^>^&1 ^| findstr /i Version') do ( set v_last=%%i
-
- set v_last=Last Release %%i
- set v_install= Installed %%i
- set v_ver_flag=0
- )
- ) else (
- rem run upgrade
- for /f "tokens=2-3" %%i in ( 'echo %v_info%' ) do (
- rem echo Last release Version : %%j
- rem echo Installed Version : %%i
- set v_install= Installed Version: %%i
- set v_last=Last Release Version: %%j
- set v_ver_flag=1
- )
- )
- call :l_print_version
- goto :eof
-
-:l_print_version
- call :l_prt_af_line
- echo %v_install%
- echo %v_last%
- call :l_prt_af_line
- rem echo %v_flag%
- goto :eof
-
-:l_prt_extensiondir
- call :l_prt_be_line
- echo Nbextension not activated
- echo Plz install nbextension
- call :l_prt_af_line
- goto :eof
-
-:l_prt_visualpythondir
- call :l_prt_af_line
- echo Already exists Visual Python.
- goto :eof
-
-:l_prt_notexists_visualpythondir
- call :l_prt_be_line
- echo Visual Python extension not installed.
- call :l_prt_af_line
- goto :eof
-
-:l_prt_be_line
- echo.
- echo ==========================================================================================
- goto :eof
-
-:l_prt_af_line
- echo ==========================================================================================
- goto :eof
-
-:l_prt_line
- echo ------------------------------------------------------------------------------------------
- goto :eof
-
-
-:l_uninstall
- IF EXIST "%v_path2%%v_prod%" (
- call :l_disable
- call :l_remove_files
- echo "%v_path2%%v_prod%"
- call :l_prt_af_line
- %v_unst%
- ) else (
- call :l_prt_be_line
- echo %v_path1:~,-18%\share\jupyter\nbextensions\
- echo %v_path2%%v_prod%
- call :l_prt_af_line
- %v_unst%
- )
-
-rem #==========================================================================
-rem #End of File
-rem #==========================================================================
-EndLocal
\ No newline at end of file
diff --git a/build.sh b/build.sh
new file mode 100755
index 00000000..2178b3ce
--- /dev/null
+++ b/build.sh
@@ -0,0 +1,64 @@
+#
+# Project Name : Visual Python
+# Description : GUI-based Python code generator
+# File Name : build.sh
+# Author : Black Logic - Minju
+# Note : Build Visual Python for All
+# License : GPLv3 (GNU General Public License v3.0)
+# Date : 2023. 02. 08
+# Change Date :
+#
+#=============================================================================
+# Set version and replace it
+#=============================================================================
+VP_ORG_VER=3.0.1
+VP_NEW_VER=3.0.2
+
+# update version info
+grep -REil "VP_ORG_VER=.+$" colab/build.colab.sh jupyterlab/build.jupyterlab.sh jupyternotebook/build.jupyternotebook.sh | xargs sed -i "s/VP_ORG_VER=.\+$/VP_ORG_VER=${VP_ORG_VER}/g"
+grep -REil "VP_NEW_VER=.+$" colab/build.colab.sh jupyterlab/build.jupyterlab.sh jupyternotebook/build.jupyternotebook.sh | xargs sed -i "s/VP_NEW_VER=.\+$/VP_NEW_VER=${VP_NEW_VER}/g"
+
+TEMP_PWD=$PWD
+
+#=============================================================================
+# Build Visual Python for Colab
+#=============================================================================
+cd $TEMP_PWD/colab
+./build.colab.sh
+
+#=============================================================================
+# Build Visual Python for Jupyter Notebook
+#=============================================================================
+cd $TEMP_PWD/jupyternotebook
+./build.jupyternotebook.sh
+
+#=============================================================================
+# Build Visual Python for Jupyter Lab
+#=============================================================================
+cd $TEMP_PWD/jupyterlab
+./build.jupyterlab.sh
+
+#=============================================================================
+# Upload (for maintainer only)
+#=============================================================================
+## jupyternotebook
+# python -m twine upload dist/jupyternotebook/dist/*
+
+## jupyterlab
+# python -m twine upload dist/jupyterlab/*
+
+## colab
+## upload on chrome web store with blacklogic.dev
+
+#=============================================================================
+# Commit Release (for maintainer only)
+#=============================================================================
+# git add .
+# git commit -m "deploy visualpython ${VP_NEW_VER}"
+# git push origin devops
+# git checkout -b release
+# git push origin release
+
+exit 0
+
+# End of file
diff --git a/colab/background.js b/colab/background.js
new file mode 100644
index 00000000..5f2e8d08
--- /dev/null
+++ b/colab/background.js
@@ -0,0 +1,74 @@
+//======================================================================
+// Event for extension icon - toggle
+//======================================================================
+chrome.action.onClicked.addListener((tab) => {
+ // check origin if its url is matching our rule
+ let checkOrigin = tab.url.startsWith('https://colab.research.google.com/');
+ if (checkOrigin) {
+ console.log('send toggle', checkOrigin, tab.id, tab);
+ // send toggle action to content
+ chrome.tabs.sendMessage(tab.id, { type: 'toggle' }).then(function(result) {
+ // success
+ console.log('ok', result);
+ }).catch(function(result) {
+ // error: if no content script, execute script again
+ console.log('error', result);
+ // execute script manually
+ chrome.scripting.executeScript({
+ target: { tabId: tab.id },
+ files: ['content.js']
+ }).then(function(result) {
+ // toggle again
+ chrome.tabs.sendMessage(tab.id, { type: 'toggle' });
+ });
+ });
+ } else {
+ console.log("it's not colab site...");
+ }
+});
+
+//======================================================================
+// Event for check tab to disable or enable extension
+//======================================================================
+// check status on tab activated and check colab exist
+chrome.tabs.onActivated.addListener(function() {
+ chrome.tabs.query({ active: true, lastFocusedWindow: true }, function(tabs) {
+ if (tabs && tabs.length > 0) {
+ let tabUrl = tabs[0].url;
+ let isColabExist = tabUrl.startsWith('https://colab.research.google.com/');
+ if (isColabExist == true) {
+ // reset
+ // chrome.action.setBadgeText({ text: '' });
+ chrome.action.setPopup({ popup: '' });
+ } else {
+ // set badge and popup
+ // chrome.action.setBadgeBackgroundColor({ color: 'red' });
+ // chrome.action.setBadgeText({ text: ':(' });
+ chrome.action.setPopup({ popup: 'popup.html' });
+ }
+ }
+
+ });
+});
+// check status on tab updated
+chrome.tabs.onUpdated.addListener(function() {
+ chrome.tabs.query({ active: true, lastFocusedWindow: true }, function(tabs) {
+ if (tabs && tabs.length > 0) {
+ let tabUrl = tabs[0].url;
+ let isColabExist = tabUrl.startsWith('https://colab.research.google.com/');
+ if (isColabExist == true) {
+ // reset
+ // chrome.action.setBadgeText({ text: '' });
+ chrome.action.setPopup({ popup: '' });
+ } else {
+ // set badge and popup
+ // chrome.action.setBadgeBackgroundColor({ color: 'red' });
+ // chrome.action.setBadgeText({ text: ':(' });
+ chrome.action.setPopup({ popup: 'popup.html' });
+ }
+ }
+
+ });
+});
+
+// End of file
\ No newline at end of file
diff --git a/colab/build.colab.sh b/colab/build.colab.sh
new file mode 100755
index 00000000..2ad68893
--- /dev/null
+++ b/colab/build.colab.sh
@@ -0,0 +1,34 @@
+#
+# Project Name : Visual Python
+# Description : GUI-based Python code generator
+# File Name : build.colab.sh
+# Author : Black Logic - Minju
+# Note : Build Visual Python for Colab
+# License : GPLv3 (GNU General Public License v3.0)
+# Date : 2023. 02. 08
+# Change Date :
+#
+#=============================================================================
+# Replace Version
+#=============================================================================
+VP_ORG_VER=3.0.1
+VP_NEW_VER=3.0.2
+
+# update version info
+# update manifest version with new numbering for new version
+grep -REil ${VP_ORG_VER//\./\\.} manifest.json | xargs sed -i "s/${VP_ORG_VER//\./\\.}/${VP_NEW_VER}/g"
+# update version inside visualpython package
+grep -REil ${VP_ORG_VER//\./\\.} visualpython/* | xargs sed -i --follow-symlinks "s/${VP_ORG_VER//\./\\.}/${VP_NEW_VER}/g"
+
+#=============================================================================
+# Build output for Colab
+#=============================================================================
+# make directories to save build output
+mkdir -p ../dist/colab
+
+# build package
+# sudo apt-get install zip
+zip -r ../dist/colab/visualpython-v$VP_NEW_VER.zip * -x build.colab.sh
+
+exit 0
+# End of file
diff --git a/colab/content.js b/colab/content.js
new file mode 100644
index 00000000..d8cff8c5
--- /dev/null
+++ b/colab/content.js
@@ -0,0 +1,64 @@
+//======================================================================
+// Inner functions
+//======================================================================
+/**
+ * Send event to inject script
+ * @param {*} type event type defined on inject script
+ * @param {*} data data to send
+ */
+function sendEvent(type, data='') {
+ let detailObj = { type: type, data: data };
+ let evt = new CustomEvent('vpcomm', { bubbles: true, detail: detailObj });
+ console.log('[vp content] send from content - ', type, data, evt);
+ document.dispatchEvent(evt);
+
+}
+function checkScriptExists(url) {
+ return document.querySelectorAll(`script[src="${url}"]`).length > 0;
+}
+/**
+ * Inject file
+ */
+function injectFile() {
+ let url = chrome.runtime.getURL('inject.js');
+ console.log('[vp content] check inject file...')
+ if (checkScriptExists(url)) {
+ console.log('[vp content] inject file already exist!');
+ return false;
+ }
+ console.log('[vp content] inject file!');
+ // inject script
+ var s = document.createElement('script');
+ s.src = url;
+ s.onload = function() {
+ // send event to inject.js to send its url
+ var url = chrome.runtime.getURL('');
+ // var evt = new CustomEvent('vpcomm', { bubbles: true, detail: { type: 'sendBase', data: url } });
+ // document.dispatchEvent(evt);
+ sendEvent('sendBase', url);
+ };
+ (document.head || document.documentElement).appendChild(s);
+ return true;
+}
+
+//======================================================================
+// Event listener - background <-> (content -> inject)
+//======================================================================
+function msgHandler(msg, sender) {
+ if (msg && msg.type) {
+ switch(msg.type) {
+ case "toggle":
+ injectFile();
+ sendEvent('toggle');
+ break;
+ default:
+ break;
+ }
+ }
+}
+chrome.runtime.onMessage.removeListener(msgHandler);
+chrome.runtime.onMessage.addListener(msgHandler);
+
+console.log('[vp content] content script executed!');
+
+// End of file
\ No newline at end of file
diff --git a/colab/icon-disable.png b/colab/icon-disable.png
new file mode 100644
index 00000000..c9ae8bba
Binary files /dev/null and b/colab/icon-disable.png differ
diff --git a/resource/icon.png b/colab/icon.png
similarity index 100%
rename from resource/icon.png
rename to colab/icon.png
diff --git a/colab/icon128.png b/colab/icon128.png
new file mode 100644
index 00000000..6079da86
Binary files /dev/null and b/colab/icon128.png differ
diff --git a/colab/inject.js b/colab/inject.js
new file mode 100644
index 00000000..26985cf0
--- /dev/null
+++ b/colab/inject.js
@@ -0,0 +1,159 @@
+//======================================================================
+// Define variables
+//======================================================================
+window.vpBase = window.vpBase? window.vpBase: '';
+
+//======================================================================
+// Define functions
+//======================================================================
+function vp_log(msg) {
+ console.log('[vp] ', ...arguments);
+}
+function vp_init() {
+ // require config
+ vp_config_require();
+}
+
+function vp_inject(path) {
+ var s = document.createElement('script');
+ s.src = path;
+ (document.head || document.documentElement).appendChild(s);
+ s.remove();
+}
+
+function __VP_CSS_LOADER__(path) {
+ return 'css!' + path;
+}
+
+function __VP_TEXT_LOADER__(path) {
+ return 'text!' + path + '!strip';
+}
+
+function __VP_RAW_LOADER__(path) {
+ return 'text!' + path;
+}
+
+function vp_config_require() {
+ // Configure requirejs
+ try {
+ if (require === undefined || require == null) {
+ // remove inject script
+ let injectedScript = document.querySelector(`script[src="${vpBase}inject.js"]`);
+ if (injectedScript) {
+ injectedScript.remove();
+ }
+ return;
+ }
+ } catch (ex) {
+ // remove inject script
+ let injectedScript = document.querySelector(`script[src="${vpBase}inject.js"]`);
+ if (injectedScript) {
+ injectedScript.remove();
+ }
+ return;
+ }
+ require.config({
+ baseUrl: vpBase,
+ paths:{
+ 'vp_base' : 'visualpython',
+ 'text' : 'visualpython/lib/require/text',
+ 'css' : 'visualpython/lib/require/css.min',
+ 'jquery' : 'visualpython/lib/jquery/jquery-3.6.0.min',
+ 'jquery-ui' : 'visualpython/lib/jquery/jquery-ui.min',
+ 'codemirror': 'visualpython/lib/codemirror',
+ 'marked' : 'visualpython/lib/marked/marked',
+ 'mathjaxutils' : 'visualpython/lib/mathjax/mathjaxutils',
+ 'fontawesome' : 'visualpython/lib/fontawesome/fontawesome.min'
+ },
+ shim: {
+ "jquery-ui": {
+ exports: "$",
+ deps: ['jquery']
+ }
+ },
+ config: {
+ text: {
+ // allow CORS
+ useXhr: function(url, protocol, hostname, port) {
+ // console.log('allow xhr');
+ return true;
+ },
+ onXhr: function(xhr, url) {
+ // console.log(xhr);
+ }
+ }
+ },
+ map: {
+ '*': {
+ css : 'visualpython/lib/require/css.min'
+ }
+ },
+ packages: [{
+ name: "codemirror",
+ location: "visualpython/lib/codemirror/",
+ main: "lib/codemirror"
+ }]
+ });
+
+ // Load vp
+ define('vp/injectScript', [
+ 'text',
+ 'css',
+ 'jquery',
+ 'jquery-ui',
+ // 'css!vp_base/lib/jquery/jquery-ui.min',
+ __VP_CSS_LOADER__('vp_base/lib/jquery/jquery-ui.min'),
+ 'codemirror/lib/codemirror',
+ __VP_CSS_LOADER__('codemirror/lib/codemirror'),
+ 'vp_base/js/loadVisualpython'
+ ], function(text, css, $, ui, uiCss, codemirror, cmCss, loadVisualpython) {
+ // codemirror
+ window.codemirror = codemirror;
+
+ loadVisualpython.initVisualpython();
+ });
+
+}
+
+//======================================================================
+// Event listener
+//======================================================================
+var _vpcommHandler = function(e) {
+ let detailObj = e.detail;
+ if (detailObj && detailObj.type) {
+ switch (detailObj.type) {
+ case 'sendBase':
+ vp_log('received from inject - ', e.detail.type, e);
+ // get base url of its extension
+ vpBase = detailObj.data;
+ // check if it has vp_wrapper
+ if (document.getElementById('vp_wrapper') == null) {
+ // initialize vp environment
+ vp_init();
+ } else {
+ // send event to toggle vp
+ let detailObj = { type: 'toggle', data: 'hi' };
+ let evt = new CustomEvent('vpcomm', { bubbles: true, detail: detailObj });
+ document.dispatchEvent(evt);
+ }
+ break;
+ // CHROME: TODO: 2: use vp frame.toggle for toggle it
+ // case 'toggle':
+ // // toggle vp_wrapper
+ // if (window.vpBase != '' && window.$) {
+ // vp_toggle();
+ // } else {
+ // vp_log('No jquery...');
+ // // init again
+ // vp_init();
+ // }
+ // break;
+ default:
+ break;
+ }
+ }
+};
+document.removeEventListener('vpcomm', _vpcommHandler);
+document.addEventListener('vpcomm', _vpcommHandler);
+
+// End of file
\ No newline at end of file
diff --git a/colab/manifest.json b/colab/manifest.json
new file mode 100644
index 00000000..c3509bcc
--- /dev/null
+++ b/colab/manifest.json
@@ -0,0 +1,42 @@
+{
+ "name": "Visual Python for Colab",
+ "description": "GUI-based Python code generator for Google Colab as an extension",
+ "version": "3.0.2",
+ "manifest_version": 3,
+ "icons": {
+ "48": "icon.png",
+ "128": "icon128.png"
+ },
+ "action": {
+ "default_title": "Visual Python for Colab\n\nGUI-based Python code generator.\nClick icon to enable.",
+ "default_icon": {
+ "48": "icon.png",
+ "128": "icon128.png"
+ }
+ },
+ "permissions": [
+ "activeTab",
+ "scripting",
+ "tabs"
+ ],
+ "content_scripts": [
+ {
+ "matches": ["https://colab.research.google.com/*"],
+ "js": ["content.js"],
+ "all_frames": true
+ }
+ ],
+ "web_accessible_resources": [{
+ "resources": [
+ "icon.png",
+ "icon128.png",
+ "icon-disable.png",
+ "inject.js",
+ "visualpython/*"
+ ],
+ "matches": [""]
+ }],
+ "background": {
+ "service_worker": "background.js"
+ }
+}
\ No newline at end of file
diff --git a/colab/popup.html b/colab/popup.html
new file mode 100644
index 00000000..7e8e95b6
--- /dev/null
+++ b/colab/popup.html
@@ -0,0 +1,35 @@
+
+
+
+
+
+
+
+## Try Visual Python if you would like to
+
+* manage big data with minimal coding skills.
+* help students / business analysts / researchers to overcome learning barriers for Python.
+* save & reuse repeatedly used codes(snippets).
diff --git a/docs/machine-learning/1.-data-sets.md b/docs/machine-learning/1.-data-sets.md
new file mode 100644
index 00000000..9f08652a
--- /dev/null
+++ b/docs/machine-learning/1.-data-sets.md
@@ -0,0 +1,17 @@
+# 1. Data Sets
+
+
+
+
+
+1. Click on _**Data Sets**_ in the _**Machine Learning**_ category.
+
+
+
+
+
+2. _**Load Type**_: You can load sample data (_**Load Data**_) or generate data (_**Create Data**_).
+3. _**Allocate to**_: Specify variable names to assign to the data.
+4. _**Code View**_: Preview the code that will be output.
+5. _**Run**_: Execute the code.
+
diff --git a/docs/machine-learning/10.-fit-predict.md b/docs/machine-learning/10.-fit-predict.md
new file mode 100644
index 00000000..38bffed1
--- /dev/null
+++ b/docs/machine-learning/10.-fit-predict.md
@@ -0,0 +1,25 @@
+# 10. Fit/Predict
+
+
+
+
+
+1. Click on _**Fit/Predict**_ under the _**Machine Learning**_ category.
+
+
+
+
+
+2. _**Model**_: Select the model you want to use.
+3. _**Action**_: Choose the operation to apply to the selected model.
+4. Available operations depend on the selected model.
+ * _**Fit**_: Train the model.
+ * _**Fit and Transform**_: Train the model and simultaneously transform the data.
+ * _**Transform**_: Transform the data. (Use a trained model.)
+ * _**Inverse Transform**_: Apply the reverse transformation of the model to restore the data to its original form.
+ * _**Predict**_: Make predictions using the trained model.
+ * _**Predict Probability**_: Return the probabilities of each data point in the dataset belonging to each class.
+ * _**Fit and Predict**_: Train the model and make predictions.
+5. _**Code view**_: Preview the generated code.
+6. _**Run**_: Execute the code.
+
diff --git a/docs/machine-learning/11.-model-info.md b/docs/machine-learning/11.-model-info.md
new file mode 100644
index 00000000..66b08d5c
--- /dev/null
+++ b/docs/machine-learning/11.-model-info.md
@@ -0,0 +1,25 @@
+# 11. Model Info
+
+
+
+
+
+1. Click on _**Model Info**_ in the _**Machine Learning**_ category.
+
+
+
+
+
+2. _**Model**_: Select the model for which you want to check information.
+3. _**Info**_: Lists of information available for each type of model are displayed:
+
+ Example:
+
+ * Regressor: Score, Cross Validation Score, Permutation Importance, etc.
+ * Classifier: AUC, ROC Curve, Feature Importance, etc.
+ * Cluster: Cluster Centers, etc.
+ * Encoder: Categories, Feature Names, etc.
+4. _**Options**_: Specify detailed settings to extract the information you want to check.
+5. _**Code view**_: Preview the code.
+6. _**Run**_: Execute the code.
+
diff --git a/docs/machine-learning/12.-evaluation.md b/docs/machine-learning/12.-evaluation.md
new file mode 100644
index 00000000..039f75bf
--- /dev/null
+++ b/docs/machine-learning/12.-evaluation.md
@@ -0,0 +1,48 @@
+# 12. Evaluation
+
+
+
+
+
+1. Click on _**Evaluation**_ in the _**Machine Learning**_ category.
+
+
+
+
+
+
+
+2. _**Model Type**_: Choose the type of model to evaluate:
+ * [Regression / Classification](12.-evaluation.md#regression-classification)
+ * [Clustering](12.-evaluation.md#clustering)
+3. _**View Code**_: Preview the code.
+4. _**Run**_: Execute the code.
+
+
+
+***
+
+### Regression / Classification
+
+
+
+
+
+1. _**Target Data**_: Specify the target data.
+2. _**Predict Data**_: Specify the data to predict.
+3. _**Evaluation Metrics**_: Select the evaluation metrics to apply.
+
+
+
+***
+
+### Clustering
+
+
+
+
+
+1. _**Clustered Index**_: Load the data containing index information assigned to the original data by clusters.
+2. _**Feature Data**_: Load the original data. The _**Silhouette Score**_ is derived through computations with the data specified in the _**Clustered Index**_.
+3. _**Target Data**_: Load the _**target data**_. The comparison with the _**Clustered Index**_ reveals how accurately the data has been clustered.
+
diff --git a/docs/machine-learning/13.-pipeline.md b/docs/machine-learning/13.-pipeline.md
new file mode 100644
index 00000000..0d170dde
--- /dev/null
+++ b/docs/machine-learning/13.-pipeline.md
@@ -0,0 +1,80 @@
+# 13. Pipeline
+
+
+
+
+
+1. Click on _**Pipeline**_ in the _**Machine Learning**_ category.
+
+
+
+
+
+2. _**Pipeline**_: Choose the type of task:
+ * [Data Preparation](13.-pipeline.md#data-preparation)
+ * [Regression / Classification / GridSearch](13.-pipeline.md#regression-classification-gridsearch)
+ * [Clustering](13.-pipeline.md#clustering)
+ * [Dimension Reduction](13.-pipeline.md#dimension-reduction)
+3. _**Code view**_: Preview the code that will be generated.
+4. _**Run**_: Execute the code.
+
+
+
+***
+
+### Data Preparation
+
+
+
+
+
+1. [_**Data Prep**_](3.-data-prep.md)
+2. [_**Fit**_](10.-fit-predict.md)
+3. [_**Transform**_](10.-fit-predict.md)
+
+
+
+***
+
+### Regression / Classification / GridSearch
+
+
+
+
+
+1. [_**Data Split**_](2.-data-split.md)
+2. [_**Regressor**_ ](5.-regressor.md)_**/**_ [_**Classifier**_](6.-classifier.md) _**/**_ [_**GridSearch**_](9.-gridsearch.md)
+3. [_**Fit**_](10.-fit-predict.md)
+4. [_**Predict**_](10.-fit-predict.md)
+5. [_**Evaluation**_](12.-evaluation.md)
+
+
+
+***
+
+### Clustering
+
+
+
+
+
+1. [_**Clustering**_](7.-clustering.md)
+2. [_**Fit**_](10.-fit-predict.md)
+3. [_**Predict**_](10.-fit-predict.md)
+4. [_**Transform**_](10.-fit-predict.md)
+5. [_**Evaluation**_](12.-evaluation.md)
+
+
+
+***
+
+### Dimension Reduction
+
+
+
+
+
+1. [_**Dimension Reduction**_](8.-dimension.md)
+2. [_**Fit**_](10.-fit-predict.md)
+3. [_**Transform**_](10.-fit-predict.md)
+
diff --git a/docs/machine-learning/14.-save-load.md b/docs/machine-learning/14.-save-load.md
new file mode 100644
index 00000000..2b980efc
--- /dev/null
+++ b/docs/machine-learning/14.-save-load.md
@@ -0,0 +1,44 @@
+# 14. Save / Load
+
+
+
+
+
+1. Click on _**Save/Load**_ in the _**Machine Learning**_ category.
+
+
+
+
+
+2. Choose an action:
+ * [Save model](14.-save-load.md#save-model)
+ * [Load model](14.-save-load.md#load-model)
+3. _**Code view**_: Preview the code that will be generated.
+4. _**Run**_: Execute the code.
+
+
+
+***
+
+### Save model
+
+
+
+
+
+1. _**Target**_: Select the machine learning model to save.
+2. _**Save path**_: Specify the path (location) to save the model. You can easily specify it by clicking on the folder icon.
+
+
+
+***
+
+### Load model
+
+
+
+
+
+1. _**Load path**_: Specify the path (location) where the model is saved. You can easily specify it by clicking on the folder icon.
+2. _**Allocate to**_: Enter the variable name to assign to the loaded model.
+
diff --git a/docs/machine-learning/2.-data-split.md b/docs/machine-learning/2.-data-split.md
new file mode 100644
index 00000000..e7855ceb
--- /dev/null
+++ b/docs/machine-learning/2.-data-split.md
@@ -0,0 +1,21 @@
+# 2. Data Split
+
+
+
+
+
+1. Click on _**Data Split**_ in the _**Machine Learning**_ category.
+
+
+
+
+
+2. _**Input Data**_: Choose whether the target data is included in the input data. If it is, select _**Feature Data**_ and _**Target Data**_ separately. You can also select specific columns from one dataset using the _**funnel icon**_.
+3. _**Test Size**_: Select the percentage of input data to use for testing purposes.
+4. _**Random State**_: Generate the same random state, ensuring consistent data splits each time. (If not set, data will be randomly split differently each time.)
+5. _**Shuffle**_: Shuffle the data randomly to prevent the model from relying on the order of the data, thereby reducing bias and improving generalization performance.
+6. _**Stratify**_: Maintain class ratios when splitting the data to prevent over-representation of certain classes (Classification).
+7. _**Allocate to**_: Assign variable names to the split data.
+8. _**Code View**_: Preview the code that will be output.
+9. _**Run**_: Execute the code.
+
diff --git a/docs/machine-learning/3.-data-prep.md b/docs/machine-learning/3.-data-prep.md
new file mode 100644
index 00000000..eba4bd6e
--- /dev/null
+++ b/docs/machine-learning/3.-data-prep.md
@@ -0,0 +1,20 @@
+# 3. Data Prep
+
+
+
+
+
+1. Click on Data Prep in the Machine Learning category.
+
+
+
+
+
+2. _**Model Type**_: You can perform various preprocessing tasks:
+ * Encoding
+ * Scaling
+ * ETC
+3. _**Allocate to**_: Assign variable names for the model to perform the selected preprocessing tasks.
+4. _**Code View**_: Preview the code that will be output.
+5. _**Run**_: Execute the code.
+
diff --git a/docs/machine-learning/4.-automl.md b/docs/machine-learning/4.-automl.md
new file mode 100644
index 00000000..d47a69c7
--- /dev/null
+++ b/docs/machine-learning/4.-automl.md
@@ -0,0 +1,21 @@
+# 4. AutoML
+
+
+
+
+
+1. Click on _**AutoML**_ in the _**Machine Learning**_ category.
+
+
+
+
+
+2. _**Model Type**_: Choose the type of model to generate. You can conveniently install necessary packages through _**Install**_.
+3. _**Generation(TPOT)**_: Set the number of generations to generate, evaluate, and compare. Each generation generates and evaluates candidate model pipelines. Higher values increase execution time.
+4. _**Population Size(TPOT)**_: Determine the number of model candidates generated in each generation set in the previous step.
+5. _**Cv(TPOT)**_: Determine the number of folds used for cross-validation.
+6. _**Random State(TPOT)**_: Control randomness. If not set, different random sequences are generated each time.
+7. _**Allocate to**_: Specify variable names to assign to the generated model.
+8. _**Code View**_: Preview the code that will be output.
+9. _**Run**_: Execute the code.
+
diff --git a/docs/machine-learning/5.-regressor.md b/docs/machine-learning/5.-regressor.md
new file mode 100644
index 00000000..823b56a9
--- /dev/null
+++ b/docs/machine-learning/5.-regressor.md
@@ -0,0 +1,182 @@
+# 5. Regressor
+
+
+
+
+
+1. Click on the _**Regressor**_ in the _**Machine Learning**_ category.
+
+
+
+
+
+2. _**Model Type**_: Choose the regression model.
+
+* [Linear Regression](5.-regressor.md#linear-regression)
+* [Ridge / Lasso](5.-regressor.md#ridge-lasso)
+* [ElasticNet](5.-regressor.md#elasticnet)
+* [SVR(SupportVectorMachine Regressor)](5.-regressor.md#svr-supportvectormachine-regressor)
+* [DecisionTree Regressor](5.-regressor.md#decisiontree-regressor)
+* [RandomForest Regressor](5.-regressor.md#randomforest-regressor)
+* [GradientBoosting Regressor](5.-regressor.md#gradientboosting-regressor)
+* [XGB Regressor](5.-regressor.md#xgb-regressor)
+* [LGBM Regressor](5.-regressor.md#lgbm-regressor)
+* [CatBoost Regressor](5.-regressor.md#catboost-regressor)
+
+3. _**Allocate to**_: Enter the variable name to assign to the created machine learning model.
+4. _**Code View**_: Preview the generated code.
+5. _**Run**_: Execute the code.
+
+
+
+***
+
+### Linear Regression
+
+
+
+
+
+1. _**Fit Intercept**_: Choose whether to include the intercept.
+
+
+
+***
+
+### Ridge / Lasso
+
+
+
+
+
+1. _**Alpha**_: Adjust the level of regularization.
+
+
+
+***
+
+### ElasticNet
+
+
+
+
+
+1. _**Alpha**_: Adjust the level of regularization.
+2. _**L1 ratio**_: Adjusts the balance (ratio) between _**L1 (Lasso)**_ and _**L2 (Ridge)**_ regularization.
+
+
+
+***
+
+### SVR(SupportVectorMachine Regressor)
+
+
+
+
+
+1. _**C**_: Represents the degree of freedom for model regularization. Higher values of C make the model more complex, fitting the training data more closely.
+2. _**Kernel**_: Function mapping data to a higher-dimensional space, controlling model complexity.
+
+* _**Degree(Poly)**_: Determines the degree of polynomial.
+* _**Gamma(Poly, rbf, sigmoid)**_: Adjusts the curvature of the decision boundary.
+* _**Coef0(Poly, sigmoid)**_: Additional parameter for the kernel, controlling the offset. Higher values fit the training data more closely.
+
+3. _**Random state**_: Sets the seed value for the random number generator used in model training.
+
+
+
+***
+
+### DecisionTree Regressor
+
+
+
+
+
+1. _**Criterion**_: Specifies the measure used for node splitting.
+2. _**Max depth**_: Specifies the maximum depth of the tree.
+3. _**Min Samples Split**_: Specifies the minimum number of samples required to split a node.
+4. _**Random state**_: Sets the seed value for the random number generator used in model training.
+
+
+
+***
+
+### RandomForest Regressor
+
+
+
+
+
+1. _**N estimators**_: Specifies the number of trees in the ensemble.
+2. _**Criterion**_: Specifies the measure used for node splitting.
+3. _**Max depth**_: Specifies the maximum depth of the tree.
+4. _**Min Samples Split**_: Specifies the minimum number of samples required to split a node.
+5. _**N jobs**_: Specifies the number of CPU cores or threads to be used during model training.
+6. _**Random State**_: Sets the seed value for the random number generator used in model training.
+
+
+
+***
+
+### GradientBoosting Regressor
+
+
+
+
+
+1. _**Loss**_: Specifies the loss function used.
+2. _**Learning rate**_: Specifies the learning rate.
+3. _**N estimators**_: Specifies the number of trees in the ensemble.
+4. _**Criterion**_: Specifies the measure used for node splitting.
+5. _**Random State**_: Sets the seed value for the random number generator used in model training.
+
+
+
+***
+
+### XGB Regressor
+
+
+
+
+
+1. _**N estimators**_: Specifies the number of trees in the ensemble.
+2. _**Max depth**_: Specifies the maximum depth of the tree.
+3. _**Learning rate**_: Specifies the learning rate.
+4. _**Gamma**_: Specifies the minimum loss reduction required to make a further partition.
+5. _**Random State**_: Sets the seed value for the random number generator used in model training.
+
+
+
+***
+
+### LGBM Regressor
+
+
+
+
+
+1. _**Boosting type**_: Specifies the boosting type used in the algorithm.
+2. _**Max depth**_: Specifies the maximum depth of the tree.
+3. _**Learning Rate**_: Specifies the learning rate.
+4. _**N estimators**_: Specifies the number of trees in the ensemble.
+5. _**Random State**_: Sets the seed value for the random number generator used in model training.
+
+
+
+***
+
+### CatBoost Regressor
+
+
+
+
+
+1. _**Learning rate**_: Specifies the learning rate.
+2. _**Loss function**_: Specifies the loss function used.
+3. _**Task Type**_: Specifies the hardware used for data processing.
+4. _**Max Depth**_: Specifies the maximum depth of the tree.
+5. _**N estimators**_: Specifies the number of trees in the ensemble.
+6. _**Random State**_: Sets the seed value for the random number generator used in model training.
+
diff --git a/docs/machine-learning/6.-classifier.md b/docs/machine-learning/6.-classifier.md
new file mode 100644
index 00000000..92cfbf75
--- /dev/null
+++ b/docs/machine-learning/6.-classifier.md
@@ -0,0 +1,156 @@
+# 6. Classifier
+
+
+
+
+
+1. Click on the _**Classifier**_ under the _**Machine Learning**_ category.
+
+
+
+
+
+2. _**Model Type**_: Select the Model Type of the classifier you want to use:
+ * [Logistic Regression](6.-classifier.md#logistic-regression)
+ * BernoulliNB
+ * MultinomialNB
+ * GaussianNB
+ * [SVC(SupportVectorMachine Classifier)](6.-classifier.md#supportvectormachine-classifier)
+ * [DecisionTree Classifier](6.-classifier.md#decisiontree-classifier)
+ * [RandomForest Classifier](6.-classifier.md#randomforest-classifier)
+ * [GradientBoosting Classifier](6.-classifier.md#gradientboosting-classifier)
+ * [XGB Classifier](6.-classifier.md#xgb-classifier)
+ * [LGBM Classifier](6.-classifier.md#lgbm-classifier)
+ * [CatBoost Classifier](6.-classifier.md#catboost-classifier)
+3. _**Allocate to**_: Specify the variable name to assign to the model.
+4. _**Code View**_: Preview the generated code.
+5. _**Run**_: Execute the code.
+
+
+
+***
+
+### Logistic Regression
+
+
+
+
+
+1. _**Penalty**_: Specify the regularization method for the model. (l2 / l1 / elasticnet / none)
+2. _**C**_: Adjust the regularization strength.
+3. _**Random State**_: Set the seed value for the random number generator.
+
+
+
+***
+
+### SupportVectorMachine Classifier
+
+
+
+
+
+1. _**C**_: C indicates the freedom of the model's regularization. A higher C value makes the model more complex to fit the training data.
+2. _**Kernel**_: A function that maps data into higher dimensions. You can control the complexity of the model by selecting the kernel type.
+ * _**Degree (Poly)**_: Degree determines the degree of the polynomial. A higher degree increases the complexity of the model.
+ * _**Gamma (Poly, rbf, sigmoid)**_: Gamma adjusts the curvature of the decision boundary. A higher value makes the model fit the training data more closely.
+ * _**Coef0 (Poly, sigmoid)**_: An additional parameter for the kernel, controlling the offset of the kernel. A higher value makes the model fit the training data more closely.
+3. _**Random State**_: Set the seed value for the random number generator.
+
+
+
+***
+
+### DecisionTree Classifier
+
+
+
+
+
+1. _**Criterion**_: Specify the metric used to select the node split. (squared\_error / friedman\_mse / absolute\_error / Poisson)
+2. _**Max Depth**_: Specify the maximum depth of the trees.
+3. _**Min Samples Split**_: Specify the minimum number of samples required to split a node to prevent excessive splitting.
+4. _**Random State**_: Set the seed value for the random number generator.
+
+
+
+***
+
+### RandomForest Classifier
+
+
+
+
+
+1. _**N estimators**_: Specify the number of trees to include in the ensemble.
+2. _**Criterion**_: Specify the metric used to select the node split. Options include gini / entropy.
+3. _**Max Depth**_: Specify the maximum depth of the trees.
+4. _**Min Samples Split**_: Specify the minimum number of samples required to split a node to prevent excessive splitting.
+5. _**N jobs**_: Specify the number of CPU cores or threads to use during model training for parallel processing.
+6. _**Random State**_: Set the seed value for the random number generator.
+
+
+
+***
+
+### GradientBoosting Classifier
+
+
+
+
+
+1. _**Loss**_: Specify the loss function to be used. Options include deviance / exponential.
+2. _**Learning rate**_: Adjust the contribution of each tree and the degree to which the errors of previous trees are corrected. A large value may lead to non-convergence or overfitting, while a small value may increase training time.
+3. _**N estimators**_: Specify the number of trees to include in the ensemble.
+4. _**Criterion**_: Specify the metric used to select the node split. (friedman\_mse / squared\_error / mse / mae)
+5. _**Random State**_: Set the seed value for the random number generator.
+
+
+
+***
+
+### XGB Classifier
+
+
+
+
+
+1. _**N estimators**_: Specify the number of trees to include in the ensemble.
+2. _**Max Depth**_: Specify the maximum depth of the trees.
+3. _**Learning Rate**_: Adjust the contribution of each tree and the degree to which the errors of previous trees are corrected.
+4. _**Gamma**_: Adjust the curvature of the decision boundary. A higher value makes the model fit the training data more closely.
+5. _**Random State**_: Set the seed value for the random number generator.
+
+
+
+***
+
+### LGBM Classifier
+
+
+
+
+
+1. _**Boosting type**_: Specify the boosting method used internally in the algorithm. (gbdt / dart / goss / rf (Random Forest))
+2. _**Max Depth**_: Specify the maximum depth of the trees.
+3. _**Learning rate**_: Adjust the contribution of each tree and the degree to which the errors of previous trees are corrected.
+4. _**N estimators**_: Specify the number of trees to include in the ensemble.
+5. _**Random State**_: Set the seed value for the random number generator.
+
+
+
+***
+
+### CatBoost Classifier
+
+
+
+
+
+1. _**Learning rate**_: Adjust the contribution of each tree and the degree to which the errors of previous trees are corrected.
+2. _**Loss function**_: Specify the loss function to be used. (RMSE / absolute\_error / huber / quantile)
+3. _**Task type**_: Specify the hardware used for data processing. (CPU / GPU)
+4. _**Max depth**_: Specify the maximum depth of the trees.
+5. _**N estimators**_: Specify the number of trees to include in the ensemble.
+6. _**Random state**_: Set the seed value for the random number generator.
+
diff --git a/docs/machine-learning/7.-clustering.md b/docs/machine-learning/7.-clustering.md
new file mode 100644
index 00000000..5738677b
--- /dev/null
+++ b/docs/machine-learning/7.-clustering.md
@@ -0,0 +1,59 @@
+# 7. Clustering
+
+
+
+
+
+1. Click on _**Clustering**_ under the _**Machine Learning**_ category.
+
+
+
+
+
+2. _**Model type**_: Select the type of Model you want to use.
+ * [KMeans / AgglomerativeClustering](7.-clustering.md#kmeans-agglomerativeclustering)
+ * [GaussianMixture](7.-clustering.md#gaussianmixture)
+ * [DBSCAN](7.-clustering.md#dbscan)
+3. _**Allocate to**_: Specify the variable name to assign to the generated model.
+4. _**Code view**_: Preview the generated code.
+5. _**Run**_: Execute the code.
+
+
+
+***
+
+### KMeans / AgglomerativeClustering
+
+
+
+
+
+1. _**N clusters**_: Specify the number of clusters to be generated.
+2. _**Random state**_: Set the seed value for the random number generator.
+
+
+
+***
+
+### GaussianMixture
+
+
+
+
+
+1. _**N components**_: Specify the number of Gaussian distributions to be used by the model to describe the data, determining how many clusters the data will be divided into.
+2. _**Random state**_: Set the seed value for the random number generator.
+
+
+
+***
+
+### DBSCAN
+
+
+
+
+
+1. _**Eps (Epsilon)**_: Specify the maximum distance (radius) for forming clusters.
+2. _**Min samples**_: Specify the minimum number of neighboring data points required for a point to be recognized as a cluster.
+
diff --git a/docs/machine-learning/8.-dimension.md b/docs/machine-learning/8.-dimension.md
new file mode 100644
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--- /dev/null
+++ b/docs/machine-learning/8.-dimension.md
@@ -0,0 +1,20 @@
+# 8. Dimension
+
+
+
+
+
+1. Click on _**Dimension**_ under the _**Machine Learning**_ category.
+
+
+
+
+
+2. _**Model type**_: Select the type of model.
+3. _**N components**_: Specify the desired number of dimensions to reduce the data to.
+4. _**Learning rate (TSNE)**_: Learning rate determines how much the TSNE algorithm reflects the distances between data points. Too large values may cause data to be excessively dense, while too small values may lead to convergence issues. Typically, values between 0.1 and 0.3 are used.
+5. _**Random state**_ - Set the seed value for the random number generator.
+6. _**Allocate to**_: Specify the variable name to assign to the model.
+7. _**Code view**_: Preview the generated code.
+8. _**Run**_: Execute the code.
+
diff --git a/docs/machine-learning/9.-gridsearch.md b/docs/machine-learning/9.-gridsearch.md
new file mode 100644
index 00000000..25dcd64d
--- /dev/null
+++ b/docs/machine-learning/9.-gridsearch.md
@@ -0,0 +1,24 @@
+# 9. GridSearch
+
+
+
+
+
+1. Click on _**GridSearch**_ under the _**Machine Learning**_ category.
+
+
+
+
+
+2. _**Model type**_: Select the type of machine learning model you want to use.
+3. _**Scoring**_: Choose the metric for evaluating the model.
+4. _**N jobs**_: Accelerate tasks through parallel processing. Enter the number of tasks to run simultaneously.
+5. _**Cv**_: Specify the number of folds to be used during C_**ross-Validation**_.
+6. _**Verbose**_: Display progress of the GridSearch. Higher values show more information.
+7. _**Allocate to**_: Specify the variable name to allocate.
+8. _**Param grid**_:
+ * _**Add param**_: Additional parameters other than 3 to 6 can be added.
+ * _**Add param set**_: Multiple combinations of parameters can be applied using sets.
+9. _**Code view**_: Preview the generated code.
+10. _**Run**_: Execute the code.
+
diff --git a/docs/statistics/1.-prob.-distribution.md b/docs/statistics/1.-prob.-distribution.md
new file mode 100644
index 00000000..61e0361e
--- /dev/null
+++ b/docs/statistics/1.-prob.-distribution.md
@@ -0,0 +1,182 @@
+# 1. Prob. Distribution
+
+
+
+
+
+1. Click on the _**Prob. Distribution**_ icon in the _**Statistics**_ category.
+
+
+
+
+
+2. _**Code View**_: Preview the code that will be generated.
+3. _**Data View**_: View the data used in the operation.
+4. _**Run**_: Execute the code.
+
+
+
+***
+
+#### Common
+
+* [Action](1.-prob.-distribution.md#action)
+
+#### Discrete Probability Distribution
+
+* [Bernoulli](1.-prob.-distribution.md#bernoulli)
+* [Binomial and Multinomial](1.-prob.-distribution.md#binomial-and-multinomial)
+
+#### Continuous Probability Distribution
+
+* Uniform
+* [Normal](1.-prob.-distribution.md#normal)
+* [Beta](1.-prob.-distribution.md#beta)
+* [Gamma](1.-prob.-distribution.md#gamma)
+* [Student's t and Chi2](1.-prob.-distribution.md#students-t-and-chi2)
+* [F](1.-prob.-distribution.md#f)
+* [Dirichlet](1.-prob.-distribution.md#dirichlet)
+* [Multivariate Normal](1.-prob.-distribution.md#multivariate-normal)
+
+
+
+***
+
+## Common
+
+### Action
+
+#### Generate Random Numbers
+
+
+
+1. _**Size**_: Set the number of samples extracted from the generated distribution.
+2. _**Random State**_: Set the seed.
+3. _**Allocate to**_: Specify the variable (call name) toate.
+4. _**Show Sampled Distribution**_: Visualize the distribution drawn from the samples.
+
+
+
+#### Show Distribution Plot
+
+
+
+1. _**Probability Density Function**_: Output the probability density function.
+2. _**Cumulative Distribution Function**_: Output the cumulative distribution function.
+
+
+
+#### Statistics to P-Value
+
+
+
+1. _**Statistic**_: You will obtain the probability of getting a value equal to or greater than the absolute value entered here in this distribution.
+2. _**Alternative**_: Two-sided; for a two-tailed test, One-sided; for a one-tailed test.
+
+
+
+#### P-Value to Statistics
+
+
+
+1. _**Proportional Value**_: Enter the p-value; the range on the distribution where values equal to or greater than the entered p-value will be calculated and displayed.
+2. _**Alternative**_: Choose between two-sided or one-sided test.
+
+
+
+***
+
+## Discrete Probability Distribution
+
+### Bernoulli
+
+
+
+1. _**P**_: Enter the probability of getting 1 in the binary outcome of 0 and 1.
+2. _**User Option**_: Optionally provide additional desired options.
+
+
+
+### Binomial and Multinomial
+
+
+
+1. _**N**_: Enter the number of trials.
+2. _**P**_: Enter the probability of success in a trial. Use the _**Funnel Icon**_ to fetch values entered in a specific dataframe column. (The form of the input values can be referred to in the generated examples.)
+
+
+
+***
+
+## Continuous Probability Distribution
+
+### Normal
+
+
+
+1. _**Loc**_: Set the mean of the normal distribution.
+2. _**Scale**_: Set the standard deviation of the normal distribution.
+3. _**User Option**_: Optionally provide additional desired options.
+
+
+
+### Beta
+
+
+
+1. _**A**_: Set the shape parameter a of the beta distribution.
+2. _**B**_: Set the shape parameter b of the beta distribution.
+3. _**User Option**_: Optionally provide additional desired options.
+
+
+
+### Gamma
+
+
+
+1. _**A**_: Set the shape parameter of the gamma distribution.
+2. _**User Option**_: Optionally provide additional desired options.
+
+
+
+### Student's t and Chi2
+
+
+
+1. _**Df**_: Set the degrees of freedom for the t-distribution or chi-squared distribution.
+2. _**User Option**_: Optionally provide additional desired options.
+
+
+
+### F
+
+
+
+1. _**Dfn**_: Set the numerator degrees of freedom.
+2. _**Dfd**_: Set the denominator degrees of freedom.
+
+* The F-distribution represents the ratio of two chi-squared distributions. _**Dfn**_ and _**Dfd**_ are the degrees of freedom for the two chi-squared distributions.
+
+3. _**User Option**_: Optionally provide additional desired options.
+
+
+
+### Dirichlet
+
+
+
+1. _**Alpha**_: Enter the importance for three categories (or dimensions) in the format _**(a, b, c)**_.
+2. _**Seed**_: If provided, the generated random numbers will be fixed.
+3. _**User Option**_: Optionally provide additional desired options.
+
+
+
+### Multivariate Normal
+
+
+
+1. _**Mean**_: Set the mean of the distribution. For _**\[a, b]**_, the mean of the first distribution is _**a**_, and the mean of the second distribution is _**b**_.
+2. _**Cov**_: Set the covariance of the distribution. For _**\[a, b]**_, the covariance of the first distribution is _**a**_, and the covariance of the second distribution is _**b**_.
+3. _**Allow Singular**_: If True, allows generating the distribution even when the covariance matrix is singular.
+4. _**User Option**_: Optionally provide additional desired options.
+
diff --git a/docs/statistics/10.-factor-analysis.md b/docs/statistics/10.-factor-analysis.md
new file mode 100644
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--- /dev/null
+++ b/docs/statistics/10.-factor-analysis.md
@@ -0,0 +1,29 @@
+# 10. Factor Analysis
+
+
+
+
+
+1. Click on _**Factor Analysis**_ in the _**Statistics**_ category
+
+
+
+
+
+2. _**Install Package**_: You can automatically _**Import**_ the necessary packages for factor analysis.
+3. _**Data**_: Select the data for factor analysis. You can also choose specific conditions using the [_**Subset**_](../data-analysis/5.-subset.md) option.
+4. _**Variable**_: Choose the variables from the selected data for factor analysis.
+5. _**Rotation**_: Select a rotation method to analyze which factors best explain the data.
+6. _**Method**_: Choose a factor analysis method:
+ * _**Principal**_: Principal Factor Analysis
+ * _ML_: Maximum Likelihood Factor Analysis
+ * _Minres_: Minimum Residual Factor Analysis
+7. _**Impute**_: Select a method for handling missing values:
+ * **Drop**: Remove rows with missing values.
+ * **Mean / Median**: Replace missing values with the mean or median.
+8. _**Extract**_: Decide on the criteria for extracting factors and specify the number of factors to extract.
+9. _**Display**_: Visualize the results.
+10. _**Code View**_: Preview the generated code.
+11. _**Data View**_: Preview the resulting data.
+12. _**Run**_: Execute the code.
+
diff --git a/docs/statistics/11.-regression.md b/docs/statistics/11.-regression.md
new file mode 100644
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--- /dev/null
+++ b/docs/statistics/11.-regression.md
@@ -0,0 +1,22 @@
+# 11. Regression
+
+1. Click on _**Regression**_ in the _**Statistics**_ category.
+
+
+
+
+
+2. Choose the type of Regression you want to use.
+3. _**Data**_: Select the data to be analyzed. You can also choose specific conditions for the data using [_**Subset**_](../data-analysis/5.-subset.md).
+4. _**Dependent Variable**_: Choose the dependent variable.
+5. _**Independent Variable**_: Choose the independent variable.
+6. _**Method(Multiple Linear Regression)**_: Select the variable selection method. - _**Stepwise / Backward / Forward**_
+7. _**Moderated Variable & Mean Centering(Moderated Linear Regression)**_: Select the moderated variable. Choose whether to apply mean centering to the moderating variable. This can reduce multicollinearity and enhance the interpretation of the model.
+8. _**Sobel Test(Mediated Linear Regression)**_: You can test the statistical significance of the _**mediation effect**_, which indicates the extent to which the impact of one independent variable on the dependent variable is transmitted through a mediated variable.
+9. _**Categorical Variables(Dummy Variable Linear Regression)**_: You can include categorical variables in the regression model using dummy variables.
+10. _**Multi-Colinearity Statistics(Excluding Simple Linear Regression)**_: This provides statistics to check for the presence of multicollinearity.
+11. _**Residual**_: Select the desired output.
+12. _**Code View**_: Preview the generated code.
+13. _**Data View**_: Preview the generated data.
+14. _**Run**_: Execute the code.
+
diff --git a/docs/statistics/12.-logistic-regression.md b/docs/statistics/12.-logistic-regression.md
new file mode 100644
index 00000000..c055d4c6
--- /dev/null
+++ b/docs/statistics/12.-logistic-regression.md
@@ -0,0 +1,21 @@
+# 12. Logistic Regression
+
+
+
+
+
+1. Click on _**Logistic Regression**_ in the _**Statistics**_ category.
+
+
+
+
+
+2. _**Data**_: Select the data for analysis. You can choose only the data that meets specific conditions using [_**Subset**_](../data-analysis/5.-subset.md).
+3. _**Dependent Variable**_: Choose the dependent variable. You can transform continuous variables into categorical variables by checking _**Encoding Labels**_.
+4. _**Independent Variable**_: Select the independent variables.
+5. _**Show Odds**_: Display the odds.
+6. _**Multicollinearity Statistics**_: This provides statistics to check for the presence of multicollinearity.
+7. _**Code View**_: Preview the code that will be output.
+8. _**Data View**_: Preview the data that will be output.
+9. _**Run**_: Execute the code.
+
diff --git a/docs/statistics/2.-descriptive-statistics.md b/docs/statistics/2.-descriptive-statistics.md
new file mode 100644
index 00000000..0a27a77d
--- /dev/null
+++ b/docs/statistics/2.-descriptive-statistics.md
@@ -0,0 +1,50 @@
+# 2. Descriptive Statistics
+
+
+
+1. Select _**Descriptive Statistics**_ in the _**Statistics category**_.
+
+
+
+
+
+2. _**Data**:_ Choose a DataFrame. You can apply conditions or slice through the _**Subset**_.
+3. _**Variable**_: Select the column from the chosen DataFrame to be designated as the _**Variable**_.
+4. _**Code View**_: Preview the code that will be displayed.
+5. _**Data View**_: Preview the displayed results.
+6. _**Run**_: Execute the code.
+
+
+
+### Descriptive Statistics
+
+
+
+
+
+1. _**Central Tendency**_ outputs the selected variable's _**Mean, Median, Mode,**_ and _**Sum**_.
+2. _**Dispersion**_ outputs the _**Minimum, Maximum, Range, Standard Deviation, Variance,**_ and _**Standard Error of the Mean**_ of the selected variable.
+3. _**Distribution**_ outputs the _**Skewness**_ and _**Kurtosis**_ of the selected variable.
+4. _**Percentile Values**_ outputs _**Quantiles**_ and _**Percentiles**_ of the selected variable.
+
+
+
+### Frequency Table
+
+
+
+
+
+1. It outputs _**Frequency, Percent, Valid Percent,**_ and _**Cumulative Percent**_ of the selected variable.
+2. _**Number of Unique Values**_ divides the data of the selected variable into units of entered values.
+
+
+
+### Display
+
+
+
+
+
+1. Select the plots to be displayed.
+
diff --git a/docs/statistics/3.-normality-test.md b/docs/statistics/3.-normality-test.md
new file mode 100644
index 00000000..ccf70d75
--- /dev/null
+++ b/docs/statistics/3.-normality-test.md
@@ -0,0 +1,21 @@
+# 3. Normality Test
+
+
+
+
+
+1. Choose the _**Normality test**_ in the _**Statistics**_ category.
+
+
+
+
+
+2. Select the test method to apply.
+3. Choose the data to be tested. You can select values that satisfy certain conditions through [_**Subsets**_](../data-analysis/5.-subset.md).
+4. Choose the column to be tested among the columns with the selected values from _**Step 3**_.
+5. _**Alternative Hypothesis**_ _**(Kolmogorov-Smirnov test)**_: Choose whether to perform a two-sided or one-sided test.
+6. _**Display**_: Select the Plot to be output along with the validation results.
+7. _**Code View**_: Preview the code that will be output.
+8. _**Data View**_: Preview the data that will be output.
+9. _**Run**_: Execute the code.
+
diff --git a/docs/statistics/4.-equal-var.-test.md b/docs/statistics/4.-equal-var.-test.md
new file mode 100644
index 00000000..237db740
--- /dev/null
+++ b/docs/statistics/4.-equal-var.-test.md
@@ -0,0 +1,54 @@
+# 4. Equal Var. Test
+
+
+
+
+
+1. Select the _**Equal Var. Test**_ in the _**Statistics**_ category.
+
+
+
+
+
+2. Choose the type of test to apply.
+
+[Long Data](4.-equal-var.-test.md#long-data)
+
+[Wide Data](4.-equal-var.-test.md#wide-data)
+
+3. _**Display**_: Visualize the shape of the variance.
+4. _**Code View**_: Preview the code to be output.
+5. _**Data View**_: Preview the data to be output.
+6. _**Run**_: Execute the code.
+
+
+
+***
+
+### Long Data
+
+
+
+
+
+1. _**Input Type**_: Select the format of the data to be tested.
+2. _**Data**_: Choose the data to be tested. You can use [_**Subset**_](../data-analysis/5.-subset.md) to select only the data that satisfies specific conditions.
+3. _**Factor**_: Choose the criterion for dividing the groups for testing equal variance among the data selected in 2.
+4. _**Variable**_: Select the values that constitute the variance among the data chosen in 2.
+5. _**Center(Levene test, Fligner test)**_: Choose the criterion for testing equal variance of the columns.
+
+
+
+***
+
+### Wide Data
+
+
+
+
+
+1. _**Input Type**_: Select the format of the data to be tested.
+2. _**Data**_: Choose the data to be tested. You can use [_**Subset**_](../data-analysis/5.-subset.md) to select only the data that satisfies specific conditions.
+3. Select the columns for the data chosen above to test for equal variance.
+4. _**Center(Levene test, Fligner test)**_: Choose the criterion for testing the equal variance of the columns.
+
diff --git a/docs/statistics/5.-correlation-analysis.md b/docs/statistics/5.-correlation-analysis.md
new file mode 100644
index 00000000..5d39c2c8
--- /dev/null
+++ b/docs/statistics/5.-correlation-analysis.md
@@ -0,0 +1,20 @@
+# 5. Correlation Analysis
+
+
+
+
+
+1. Click on _**Correlation Analysis**_ in the _**Statistics**_ category.
+
+
+
+
+
+2. _**Data**_: Select the data for correlation analysis. You can use [_**Subset**_](../data-analysis/5.-subset.md) to choose only the data that satisfies specific conditions.
+3. _**Variable:**_ Choose the variables from the selected data for which you want to analyze the correlation.
+4. _**Correlation**_: Select the method for correlation analysis.
+5. _**Display**_: Visualize the results of the correlation analysis.
+6. _**Code View**_: Preview the code that will be generated.
+7. _**Data View**_: Preview the data that will be output.
+8. _**Run**_: Execute the code.
+
diff --git a/docs/statistics/6.-reliability-analysis.md b/docs/statistics/6.-reliability-analysis.md
new file mode 100644
index 00000000..a6440919
--- /dev/null
+++ b/docs/statistics/6.-reliability-analysis.md
@@ -0,0 +1,30 @@
+# 6. Reliability Analysis
+
+
+
+
+
+1. Click on _**Reliability Analysis**_ in the _**Statistics**_ category.
+
+
+
+
+
+2. _**Data**_: Select the data for Reliability Analysis. You can specify only the data that meets specific conditions from the chosen DataFrame through [_**Subset**_](../data-analysis/5.-subset.md).
+3. _**Variable**_: Choose the columns for Reliability Analysis from the data selected above.
+4. _**Code View**_: Preview the code that will be generated.
+5. _**Data View**_: Preview the data that will be output.
+6. _**Run**_: Execute the code.
+
+
+
+### Output Example
+
+
+
+
+
+* _**Cronbach Alpha**_ used in Reliability Analysis is a statistical method measuring _**Consistency**_, and this consistency is an indicator of Reliability.
+* The Cronbach Alpha value is output between 0 and 1, where closer to 1 indicates higher consistency. The _**N**_ value represents the number of columns selected.
+* _**The Item-Total Statistics t**_able displays the mean, variance, and Cronbach Alpha values for each column's presence or absence. Additionally, _**Corrected Item-Total Correlation**_ indicates how consistent each column is with the total.
+
diff --git a/docs/statistics/7.-chi-square-test.md b/docs/statistics/7.-chi-square-test.md
new file mode 100644
index 00000000..ab6144ec
--- /dev/null
+++ b/docs/statistics/7.-chi-square-test.md
@@ -0,0 +1,20 @@
+# 7. Chi-square Test
+
+
+
+
+
+1. Click on the _**Chi-square test**_ in the _**Statistics**_ category.
+
+
+
+
+
+2. _**Data**_: Select the data for the _**Chi-square test**_. You can choose specific data that meets certain conditions through [_**Subset**_](../data-analysis/5.-subset.md).
+3. _**Row**_: In Cross tabulation for Chi-square test, choose the column to be used as a _**row**_.
+4. _**Column**_: In Cross tabulation for Chi-square test, choose the column to be used as a _**column**_.
+5. _**Display**_: Visualize the results of the Chi-square test with the selected options.
+6. _**Code View**_: Preview the code that will be generated.
+7. _**Data View**_: Preview the data that will be output.
+8. _**Run**_: Execute the code.
+
diff --git a/docs/statistics/8.-students-t-test.md b/docs/statistics/8.-students-t-test.md
new file mode 100644
index 00000000..c58bf273
--- /dev/null
+++ b/docs/statistics/8.-students-t-test.md
@@ -0,0 +1,68 @@
+# 8. Student's T-test
+
+
+
+
+
+1. Click on the _**Student's t-test**_ in the _**Statistics**_ category.
+
+
+
+
+
+2. Choose the type of t-test you want to perform:
+
+* [One-sample t-test](8.-students-t-test.md#one-sample-t-test)
+* [Independent two-sample t-test](8.-students-t-test.md#independent-two-sample-t-test)
+* [Paired samples t-test](8.-students-t-test.md#paired-samples-t-test)
+
+3. _**Code View**_: Preview the generated code.
+4. _**Data View**_: Preview the data that will be used in the test.
+5. _**Run**_: Execute the code.
+
+
+
+***
+
+### One-sample t-test
+
+
+
+
+
+1. _**Data**_: Select the data for the t-test. You can choose specific data satisfying certain conditions using [_**Subset**_](../data-analysis/5.-subset.md).
+2. _**Test Variable**_: Choose the group for the t-test.
+3. _**Test Value**_: Enter the test value for the t-test in that group. The alternative hypothesis will be based on this value.
+4. _**Alternative Hypothesis**_: Select the alternative hypothesis.
+5. _**Confidence Interval**_: Set the confidence interval.
+
+
+
+***
+
+### Independent two-sample t-test
+
+
+
+
+
+1. _**Input Type**_: Choose the type of data for the t-test.
+2. _**Data**_: Select the data for the t-test. You can choose specific data satisfying certain conditions using [_**Subset**_](../data-analysis/5.-subset.md).
+3. _**Test Variable**_: Choose the two groups for the t-test.
+4. _**Alternative Hypothesis**_: Choose the alternative hypothesis.
+
+
+
+***
+
+### Paired samples t-test
+
+
+
+
+
+1. _**Data**_: Select the data for the t-test. You can choose specific data satisfying certain conditions using [_**Subset**_](../data-analysis/5.-subset.md).
+2. _**Paired Variable**_: Choose the paired groups for the t-test.
+3. _**Alternative Hypothesis**_: Choose the alternative hypothesis.
+4. _**Confidence Interval**_: Set the confidence interval.
+
diff --git a/docs/statistics/9.-anova.md b/docs/statistics/9.-anova.md
new file mode 100644
index 00000000..800b2004
--- /dev/null
+++ b/docs/statistics/9.-anova.md
@@ -0,0 +1,54 @@
+# 9. ANOVA
+
+
+
+
+
+1. Click on _**ANOVA**_ in the _**Statistics**_ category.
+
+
+
+
+
+2. Choose the analysis method.
+
+* [One-way ANOVA / Two-way ANOVA](9.-anova.md#one-way-anova-two-way-anova)
+* [ANCOVA](9.-anova.md#ancova)
+
+3. _**Display**_: Visualize the results.
+4. _**Code View**_: Preview the generated code.
+5. _**Data View**_: Preview the generated data.
+6. _**Run**_: Execute the code.
+
+
+
+***
+
+### One-way ANOVA / Two-way ANOVA
+
+
+
+
+
+1. _**Data**_: Select the data for analysis. You can choose data that satisfies specific conditions through [_**Subset**_](../data-analysis/5.-subset.md).
+2. _**Dependent Variable**_: Choose the dependent variable.
+3. _**Factor**_: Select the factors. For _**Two-way ANOVA**_, choose factors A and B.
+4. _**Significance Level**_: Enter the significance level. (default: 0.05)
+5. _**Post hoc analysis**_: Choose the post hoc analysis method. If there is a statistically significant difference in mean among groups, further verify which groups differ.
+
+
+
+***
+
+### ANCOVA
+
+
+
+
+
+1. _**Install Package**_: Automatically install the required packages for analysis.
+2. _**Data**_: Select the data for analysis. You can choose data that satisfies specific conditions through [_**Subset**_](../data-analysis/5.-subset.md).
+3. _**Dependent Variable**_: Choose the dependent variable.
+4. _**Factor**_: Select the factors.
+5. _**Covariate**_: Choose the covariate.
+
diff --git a/docs/visualization/1.-chart-style.md b/docs/visualization/1.-chart-style.md
new file mode 100644
index 00000000..26819f76
--- /dev/null
+++ b/docs/visualization/1.-chart-style.md
@@ -0,0 +1,25 @@
+---
+description: Configuring the Basic Style of the Chart
+---
+
+# 1. Chart Style
+
+
+
+
+
+1. Click on the _**Chart Style**_ in the visualization category.
+
+
+
+
+
+2. Use _**Import Library**_ in the top right corner to import _**Matplotlib**_ and _**Seaborn**_ without specific chart style settings.
+3. Set the _**figure size**_ for the chart to be displayed.
+4. Choose the _**style of the chart**_ to be displayed.
+5. Set the _**font**_ for the text entered in the chart to be displayed.
+6. Select the _**font size**_.
+7. Default settings can be applied for the configuration.
+8. Preview the code that will be generated.
+9. Output the code.
+
diff --git a/docs/visualization/2.-pandas-plot.md b/docs/visualization/2.-pandas-plot.md
new file mode 100644
index 00000000..97d8c429
--- /dev/null
+++ b/docs/visualization/2.-pandas-plot.md
@@ -0,0 +1,43 @@
+# 2. Pandas Plot
+
+
+
+
+
+1. Click on _**Pandas Plot**_ in the _**Visualization**_ category.
+
+
+
+
+
+2. Select the DataFrame to be represented as a plot.
+
+ 2-1. Specific columns of the DataFrame can be selected using the funnel icon.
+
+
+
+**\*The following items will be set to default values if not entered:**
+
+3. Choose the _**Chart Type**_.
+4. Enter the _**Chart Title**_.
+5. Input the _**size of the output plot**_.
+6. Select the _**Font Size**_ of the text on the plot.
+7. Select the _**color theme**_ for the displayed plot.
+8. Decide on the visibility of the _**Grid**_.
+9. Decide on the visibility of the _**Legend**_.
+10. _**Rotate on the axis names**_ if needed, especially useful for long names.
+11. Specify the _**axis names**_.
+
+
+
+
+
+12. Set the _**range of values**_ to be displayed on the axes.
+13. Specify the _**interval**_ between axis tick marks.
+14. For line graphs, specify the _**style of the lines**_.
+15. _**Choose the columns**_ from the DataFrame to be represented in the plot.
+16. Simultaneously, create _**multiple plots**_ within a single figure.
+17. Specify the _**Layout**_ when creating multiple plots.
+18. Choose _**True**_ if you want to use the DataFrame's index as the X-axis.
+19. If _**True**_, represent data from multiple columns of the DataFrame in a single plot.
+
diff --git a/docs/visualization/3.-matplotlib.md b/docs/visualization/3.-matplotlib.md
new file mode 100644
index 00000000..ce042640
--- /dev/null
+++ b/docs/visualization/3.-matplotlib.md
@@ -0,0 +1,234 @@
+# 3. Matplotlib
+
+
+
+
+
+1. Select _**Matplotlib**_ from the _**Visualization**_ category.
+
+
+
+
+
+2. Configure the default settings of the Figure through _**Import Options**_. Detailed settings can be done in the _**Chart Style**_ of the _**Visualization**_ category.
+3. Choose the _**Chart Type**_.
+
+
+
+\*_**Additional Options**_: The following options exist universally for all chart styles.
+
+
+
+4. _**Title**_: Enter the title of the FIgure.
+5. _**Label**_: Set the name of the axes.
+6. _**Limit**_: Set the range of values to be displayed on the axes.
+7. _**Legend Title**_: Enter the title of the legend.
+8. _**Legend Labels**_: Add labels to the legend to explain the meaning of each plotted data.
+9. _**Legend Position**_: Choose the position of the legend.
+10. _**Save Figure**_: Save the figure. Set the path using the file-shaped icon.
+
+
+
+***
+
+[Line Plot](3.-matplotlib.md#line-plot)
+
+[Bar Plot 1](3.-matplotlib.md#bar-plot-1)
+
+[Bar Plot 2](3.-matplotlib.md#bar-plot-2)
+
+[Histogram](3.-matplotlib.md#histogram)
+
+[Box Plot](3.-matplotlib.md#box-plot)
+
+[Stack Plot](3.-matplotlib.md#stack-plot)
+
+[Pie Plot](3.-matplotlib.md#pie-plot)
+
+[Scatter Plot](3.-matplotlib.md#scatter-plot)
+
+[Hexbin Plot](3.-matplotlib.md#hexbin)
+
+[Contour Plot](3.-matplotlib.md#contour-plot)
+
+[Image Plot](3.-matplotlib.md#image-plot)
+
+[Error Bar Plot](3.-matplotlib.md#error-bar-plot)
+
+
+
+***
+
+### Line Plot
+
+
+
+
+
+1. _**Value**_: Select the data to plot. You can choose a specific column from a DataFrame using the funnel icon.
+2. _**Chart Label**_: Add labels to explain the meaning of each plotted data.
+3. _**Color**_: Check _**Use Color**_ and choose the color of the graph.
+4. _**Marker**_: Choose the style of the marker.
+5. _**Line Style**_: Choose the style of the line.
+6. _**User Option**_: Additional code beyond the functionalities provided by Visual Python can be added.
+
+
+
+***
+
+### Bar Plot 1
+
+
+
+
+
+1. _**X Value, Height**_: Select data to plot. You can choose a specific column for a DataFrame using the funnel icon.
+2. _**Chart Label**_: Add labels to explain the meaning of each plotted data.
+3. _**Color:**_ Check _**Use Color**_ and choose the color of the graph.
+4. _**Line Style**_: Choose the style of the line.
+5. _**User Option**_: Additional code beyond the functionalities provided by Visual Python can be added.
+
+
+
+***
+
+### Bar Plot 2
+
+
+
+
+
+1. _**Y Value, Width**_: Select data to plot. You can choose a specific column from a DataFrame using the funnel icon.
+2. _**Chart Label**_: Add labels to explain the meaning of each plotted data.
+3. _**Color**_: Check _**Use Color**_ and choose the color of the graph.
+4. _**Line Style**_: Choose the style of the line.
+5. _**User Option**_: Additional code beyond the functionalities provided by Visual Python can be added.
+
+
+
+***
+
+### Histogram
+
+
+
+
+
+1. _**Value**_: Select data to plot. You can choose a specific column from a DataFrame using the funnel icon.
+2. _**Bins**_: Set the intervals (bin size) to divide the data.
+3. _**Chart Label**_: Add labels to explain the meaning of each plotted data.
+4. _**Color**_: Check _**Use Color**_ and choose the color of the graph.
+5. _**Line Style**_: Choose the style of the line.
+6. _**User Option**_: Additional code beyond the functionalities provided by Visual Python can be added.
+
+
+
+***
+
+### Box Plot
+
+
+
+
+
+1. _**Value**_: Select data to plot. You can choose a specific column from a DataFrame using the funnel icon.
+2. _**User Option**_: Additional code beyond the functionalities provided by Visual Python can be added.
+
+
+
+***
+
+### Stack Plot
+
+
+
+
+
+1. _**Value**_: Select data to plot. You can choose a specific column from a DataFrame using the funnel icon.
+2. _**Color**_: Check _**Use Color**_ and choose the color of the graph.
+3. _**Line Style**_: Choose the style of the line.
+4. _**User Option**_: Additional code beyond the functionalities provided by Visual Python can be added.
+
+
+
+***
+
+### Pie Plot
+
+
+
+
+
+1. _**Value**_: Select data to plot. You can choose a specific column from a DataFrame using the funnel icon.
+2. _**User Option**_: Additional code beyond the functionalities provided by Visual Python can be added.
+
+
+
+***
+
+### Scatter Plot
+
+
+
+
+
+1. _**Value**_: Select data to plot. You can choose a specific column from a DataFrame using the funnel icon.
+2. _**Color Map**_: Choose the color theme to map to the data.
+3. _**Marker**_: Choose the style of the marker.
+4. _**User Option**_: Additional code beyond the functionalities provided by Visual Python can be added.
+
+
+
+***
+
+### Hexbin
+
+
+
+
+
+1. _**Value**_: Select data to plot. You can choose a specific column from a DataFrame using the funnel icon.
+2. _**Chart Label**_: Add labels to explain the meaning of each plotted data.
+3. _**Color**_: Check _**Use Color**_ and choose the color of the graph.
+4. _**User Option**_: Additional code beyond the functionalities provided by Visual Python can be added.
+
+
+
+***
+
+### Contour Plot
+
+
+
+
+
+1. _**Value**_: Select data to plot. You can choose a specific column from a DataFrame using the funnel icon.
+2. _**Color Map**_: Choose the color theme to map to the data.
+3. _**Chart Label**_: Add labels to explain the meaning of each plotted data.
+4. _**User Option**_: Additional code beyond the functionalities provided by Visual Python can be added.
+
+
+
+***
+
+### Image Plot
+
+
+
+1. _**Value**_: Select data to plot. You can choose a specific column from a DataFrame using the funnel icon.
+2. _**Extent**_: Specify the range on the X and Y axes where the image will be displayed.
+3. _**Origin**_: Choose the position of the image's origin. _**Lower**_ places it at the bottom of the coordinate plane, and _**Upper**_ places it at the top.
+4. _**Color Map**_: Choose the color theme to map to the data.
+5. _**User Option**_: Additional code beyond the functionalities provided by Visual Python can be added.
+
+
+
+***
+
+### Error Bar Plot
+
+
+
+1. _**Value**_: Select data to plot. You can choose a specific column from a DataFrame using the funnel icon.
+2. _**User Option**_: Additional code beyond the functionalities provided by Visual Python can be added.
+
diff --git a/docs/visualization/4.-seaborn.md b/docs/visualization/4.-seaborn.md
new file mode 100644
index 00000000..06a592ec
--- /dev/null
+++ b/docs/visualization/4.-seaborn.md
@@ -0,0 +1,117 @@
+# 4. Seaborn
+
+
+
+
+
+1. Click on _**Seaborn**_ in the _**Visualization**_ category.
+
+
+
+
+
+2. You can use **Settings** _to_ set the basic style of the plots displayed. For detailed configuration, use the _**Chart Style**_ in the _**Visualization**_ category.
+3. You can preview the plot to be displayed. In the top right corner, you can set the number of samples used for preview.
+
+
+
+***
+
+[Data](4.-seaborn.md#data)
+
+[Axes](4.-seaborn.md#axes)
+
+[Info](4.-seaborn.md#info)
+
+[Style](4.-seaborn.md#style)
+
+[Code](4.-seaborn.md#code)
+
+
+
+***
+
+### Data
+
+
+
+
+
+1. Choose the style of the chart.
+2. _**Data**_: Select the data to be represented in the plot. You can use the _**Funnel Icon**_ to choose specific columns from the DataFrame. Check _**Set X and Y individually**_ to select the data separately for each axis.
+3. _**User Option**_: Optionally provide additional desired options.
+
+
+
+\*The manual provided below may or may not exist depending on the type of chart.
+
+4. _**Hue**_: Further segment the data already selected for display based on another column or data. The data will be displayed in different colors based on the new criteria.
+5. _**Bins**_: If the data you want to represent in the graph(_**Histogram**_) is continuous, you can express it by dividing it into a certain number of intervals. It will be represented by bars divided into a specified number of intervals.
+6. _**KDE**_(Kernel Density Estimation): To smooth the shape of the graph(_**Histogram**_), use a density plot format.
+7. _**Stat**_: Choose the meaning of each bar in the graph(_**Histogram**_). For example, if you choose the '_**Count**_', the height of each bar represents the number of data points in that interval.
+8. _**Orient**_: Choose the direction of the graph(_**Bar Plot**_).
+9. _**Annot**_: Choose whether to display data values in each cell of the graph(_**Heatmap**_).
+
+
+
+***
+
+### Axes
+
+
+
+
+
+1. _**Limit**_: Defines the range of data to be represented on the X and Y axes.
+2. _**Ticks:**_ Sets the ticks on the X and Y axes.
+
+ (a) Specifies the positions where ticks will be displayed in the following format:
+
+ \[0, 1, 2, 3] -> Four ticks will be drawn.
+
+ (b) Sets the labels (Characters or Numbers) to be displayed as ticks in the following format:
+
+ \['a', 'b', 'c', 'd'] -> The specified values will be displayed in order as ticks.
+
+3. _**Rotate**_: Rotates the ticks by the specified angle. Useful when text overlaps.
+
+
+
+***
+
+### Info
+
+
+
+
+
+1. _**Title**_: Sets the title of the plot. The name is placed at the top center of the plot.
+2. _**Labels**_: Sets the names of the X and Y axes.
+3. _**Legend**_: Sets the position to display the legend.
+
+
+
+***
+
+### Style
+
+
+
+
+
+1. _**Color**_: Enable the use of color and allow you to choose the color of the graph.
+2. _**Grid**_: Select whether to use a grid. Color can also be assigned.
+3. _**Marker**_: Choose the style of the marker.
+
+
+
+***
+
+### Code
+
+
+
+
+
+1. Additional code beyond the functionalities provided by Visual Python can be added.
+
diff --git a/docs/visualization/5.-plotly.md b/docs/visualization/5.-plotly.md
new file mode 100644
index 00000000..e42fc24d
--- /dev/null
+++ b/docs/visualization/5.-plotly.md
@@ -0,0 +1,79 @@
+# 5. Plotly
+
+
+
+
+
+1. Select _**Plotly**_ in the _**Visualization**_ category.
+
+
+
+
+
+2. _**Import Package**_: Install the necessary packages(Plotly) for code execution.
+3. _**Import Library**_: Import the libraries required for code execution.
+4. _**Preview**_: Preview the chart that will be generated.
+5. _**Code**_ _**View**_: Preview the code that will be generated.
+6. _**Run**_: Execute the code.
+
+
+
+***
+
+[Data](5.-plotly.md#data)
+
+[Info](5.-plotly.md#info)
+
+[Code](5.-plotly.md#code)
+
+
+
+***
+
+### Data
+
+
+
+
+
+
+
+1. _**Chart Type**_: Select the type of chart.
+2. _**Data**_: Choose the data to be represented in the chart. You can also select a specific column of a DataFrame through the _**Funnel Icon**_. _**Set X and Y Individually**_ allows selecting data from different DataFrames.
+3. _**Axis Value**_: Select the data to be used on each axis.
+
+ _**Values**_ (Pie Chart): Choose the data to represent the size of each section in a Pie Chart.
+
+ _**Names**_ (Pie Chart): Choose the data to represent the names of each section in a Pie Chart.
+
+ _**Parents**_ (Sunburst): The Sunburst chart represents hierarchical data in a circular form. Select the data indicating which parent section each segment belongs to.
+
+4. _**Color**_: Enable the use of color and choose the color of the graph.
+5. _**Sort**_: Specify the order of categories on the X-axis. Descending arranges columns from the highest to the lowest amount of data.
+6. _**User Option**_: Optionally provide additional desired options.
+
+
+
+***
+
+### Info
+
+
+
+
+
+1. _**Title**_: Specify the title of the chart.
+2. _**Label**_: Specify the names of each axis.
+
+
+
+***
+
+### Code
+
+
+
+
+
+1. Additional code beyond the functionalities provided by Visual Python can be added.
+
diff --git a/docs/visualization/6.-wordcloud.md b/docs/visualization/6.-wordcloud.md
new file mode 100644
index 00000000..ed6de600
--- /dev/null
+++ b/docs/visualization/6.-wordcloud.md
@@ -0,0 +1,67 @@
+# 6. WordCloud
+
+
+
+
+
+1. Click on the _**WordCloud**_ in the _**Visualization**_ category.
+
+
+
+
+
+2. Click on _**Install Package**_ and _**Import Library**_ to install or load the necessary packages for code execution.
+3. _**Preview**_: the WordCloud that will be generated.
+4. _**Code View**_: Preview the _**Code**_ that will be executed.
+5. _**Run**_: Execute the code.
+
+
+
+***
+
+[Data](6.-wordcloud.md#data)
+
+[WordCloud](6.-wordcloud.md#wordcloud)
+
+[Plot](6.-wordcloud.md#plot)
+
+
+
+***
+
+### Data
+
+
+
+
+
+1. _**Data:**_ Select the Dataframe to be used for WordCloud. Alternatively, use the Funnel icon to choose specific columns.
+2. Check _**Use File**_ to load a file than the one currently in memory for WordCloud.
+3. Set the _**Number of Words**_ to be used in the WordCloud.
+
+
+
+***
+
+### WordCloud
+
+
+
+
+
+1. _**Stop Words**_: Enter the words to be excluded from the WordCloud.
+2. _**Font Path**_: Choose a font.
+3. _**User Option**_: Optionally provide additional desired options.
+
+
+
+***
+
+### Plot
+
+
+
+
+
+1. _**Figure Size**_: Set the size of the WordCloud Image to be generated.
+
diff --git a/jupyterlab/.gitignore b/jupyterlab/.gitignore
new file mode 100644
index 00000000..bf7ee545
--- /dev/null
+++ b/jupyterlab/.gitignore
@@ -0,0 +1,120 @@
+*.bundle.*
+node_modules/
+*.log
+.eslintcache
+.stylelintcache
+*.egg-info/
+.ipynb_checkpoints
+*.tsbuildinfo
+visualpython/labextension
+jupyterlab-visualpython/labextension
+# Version file is handled by hatchling
+jupyterlab-visualpython/_version.py
+
+# Created by https://www.gitignore.io/api/python
+# Edit at https://www.gitignore.io/?templates=python
+
+### Python ###
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+# Usually these files are written by a python script from a template
+# before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage/
+coverage.xml
+*.cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# pyenv
+.python-version
+
+# celery beat schedule file
+celerybeat-schedule
+
+# SageMath parsed files
+*.sage.py
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# Mr Developer
+.mr.developer.cfg
+.project
+.pydevproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# End of https://www.gitignore.io/api/python
+
+# OSX files
+.DS_Store
+
+# Yarn cache
+.yarn/
diff --git a/jupyterlab/.jupyterlite.doit.db b/jupyterlab/.jupyterlite.doit.db
new file mode 100644
index 00000000..e60d75e0
Binary files /dev/null and b/jupyterlab/.jupyterlite.doit.db differ
diff --git a/jupyterlab/.yarnrc.yml b/jupyterlab/.yarnrc.yml
new file mode 100644
index 00000000..3186f3f0
--- /dev/null
+++ b/jupyterlab/.yarnrc.yml
@@ -0,0 +1 @@
+nodeLinker: node-modules
diff --git a/jupyterlab/LICENSE b/jupyterlab/LICENSE
new file mode 100644
index 00000000..88968b46
--- /dev/null
+++ b/jupyterlab/LICENSE
@@ -0,0 +1,683 @@
+
+=======================================================================
+The Visual Python is licensed under the GNU General Public License
+version 3.0 with the addition of the following special exception:
+=======================================================================
+As a special exception, you may copy, modify and distribute the codes
+generated by Visual Python under terms of your choice.
+=======================================================================
+
+ GNU GENERAL PUBLIC LICENSE
+ Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc.
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+ Preamble
+
+ The GNU General Public License is a free, copyleft license for
+software and other kinds of works.
+
+ The licenses for most software and other practical works are designed
+to take away your freedom to share and change the works. By contrast,
+the GNU General Public License is intended to guarantee your freedom to
+share and change all versions of a program--to make sure it remains free
+software for all its users. We, the Free Software Foundation, use the
+GNU General Public License for most of our software; it applies also to
+any other work released this way by its authors. You can apply it to
+your programs, too.
+
+ When we speak of free software, we are referring to freedom, not
+price. Our General Public Licenses are designed to make sure that you
+have the freedom to distribute copies of free software (and charge for
+them if you wish), that you receive source code or can get it if you
+want it, that you can change the software or use pieces of it in new
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+
+ To protect your rights, we need to prevent others from denying you
+these rights or asking you to surrender the rights. Therefore, you have
+certain responsibilities if you distribute copies of the software, or if
+you modify it: responsibilities to respect the freedom of others.
+
+ For example, if you distribute copies of such a program, whether
+gratis or for a fee, you must pass on to the recipients the same
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+ Developers that use the GNU GPL protect your rights with two steps:
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+ For the developers' and authors' protection, the GPL clearly explains
+that there is no warranty for this free software. For both users' and
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+ Some devices are designed to deny users access to install or run
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+ Finally, every program is threatened constantly by software patents.
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+ The precise terms and conditions for copying, distribution and
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+ TERMS AND CONDITIONS
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+ "This License" refers to version 3 of the GNU General Public License.
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+ "Copyright" also means copyright-like laws that apply to other kinds of
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+ "The Program" refers to any copyrightable work licensed under this
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+
+ To "propagate" a work means to do anything with it that, without
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+ To "convey" a work means any kind of propagation that enables other
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+ An interactive user interface displays "Appropriate Legal Notices"
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+copy of the Program in return for a fee.
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+ END OF TERMS AND CONDITIONS
+
+ How to Apply These Terms to Your New Programs
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+possible use to the public, the best way to achieve this is to make it
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+
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+ Copyright (C)
+
+ This program is free software: you can redistribute it and/or modify
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+ the Free Software Foundation, either version 3 of the License, or
+ (at your option) any later version.
+
+ This program is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ GNU General Public License for more details.
+
+ You should have received a copy of the GNU General Public License
+ along with this program. If not, see .
+
+Also add information on how to contact you by electronic and paper mail.
+
+ If the program does terminal interaction, make it output a short
+notice like this when it starts in an interactive mode:
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+ Copyright (C)
+ This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
+ This is free software, and you are welcome to redistribute it
+ under certain conditions; type `show c' for details.
+
+The hypothetical commands `show w' and `show c' should show the appropriate
+parts of the General Public License. Of course, your program's commands
+might be different; for a GUI interface, you would use an "about box".
+
+ You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU GPL, see
+.
+
+ The GNU General Public License does not permit incorporating your program
+into proprietary programs. If your program is a subroutine library, you
+may consider it more useful to permit linking proprietary applications with
+the library. If this is what you want to do, use the GNU Lesser General
+Public License instead of this License. But first, please read
+.
diff --git a/jupyterlab/MANIFEST.in b/jupyterlab/MANIFEST.in
new file mode 100644
index 00000000..46803593
--- /dev/null
+++ b/jupyterlab/MANIFEST.in
@@ -0,0 +1,22 @@
+include LICENSE
+include *.md
+include pyproject.toml
+
+include package.json
+include install.json
+include ts*.json
+include yarn.lock
+
+graft visualpython/labextension
+
+# Javascript files
+graft lib
+graft style
+prune **/node_modules
+
+# Patterns to exclude from any directory
+global-exclude *~
+global-exclude *.pyc
+global-exclude *.pyo
+global-exclude .git
+global-exclude .ipynb_checkpoints
diff --git a/jupyterlab/README.md b/jupyterlab/README.md
new file mode 100644
index 00000000..6b4bcd90
--- /dev/null
+++ b/jupyterlab/README.md
@@ -0,0 +1,175 @@
+
+
+[](https://pypi.python.org/pypi/jupyterlab-visualpython/)
+
+[](https://github.com/visualpython/visualpython/blob/main/LICENSE)
+[](https://pepy.tech/project/visualpython)
+[](https://github.com/visualpython/visualpython/issues)
+[![lite-badge]][lite]
+
+[lite-badge]: https://jupyterlite.rtfd.io/en/latest/_static/badge.svg
+[lite]: https://visualpython.github.io/visualpython-lite/lab/index.html
+
+## Introduction
+Visual Python is a GUI-based Python code generator, developed on the **[Jupyter Lab](#getting-started-with-jupyter-lab)**, **[Jupyter Notebook](#getting-started-with-jupyter-notebook-7x)** and **[Google Colab](#getting-started-with-google-colab)** as an extension. You can also simply use Visual Python using **[Visual Python Desktop](#getting-started-with-visual-python-desktop)**.
+Visual Python is an open source project started for students who struggle with coding during Python classes for data science.
+
+
+
+Try Visual Python if you would like to:
+* manage big data with minimal coding skills.
+* help students / business analysts / researchers to overcome learning barriers for Python.
+* save & reuse repeatedly used codes(snippets).
+
+
+
+
+## Getting Started with Jupyter Lab
+
+### 1. Requirements
+
+Visual Python is an extension to Jupyter Lab, so you must have Jupyter Lab installed already.
+- Python version 3.x
+- Jupyter lab environment
+
+### 2. How to Install
+
+**1) Install package from PyPI**
+```
+pip install jupyterlab-visualpython
+```
+- If you are using **Jupyter Lab version <= 3.x.x**, please install `jupyterlab-visualpython==2.5.0`
+ ```
+ pip install jupyterlab-visualpython==2.5.0
+ ```
+
+**2) Activate Visual Python on Jupyter Lab**
+
+Click orange square button on the right side of Jupyter Lab.
+
+## Getting Started with Jupyter Notebook 7
+
+### 1. Requirements
+
+Visual Python is an extension to Jupyter Notebook, so you must have Jupyter Notebook installed already. You need latest version of Jupyter Notebook over version 7.x.x.
+- Python version 3.x
+- Jupyter notebook environment >= 7.x
+
+### 2. How to Install
+
+**1) Install package from PyPI**
+```
+pip install jupyterlab-visualpython
+```
+
+**2) Activate Visual Python on Jupyter Notebook**
+
+Click orange square button on the toolbar of Jupyter Notebook.
+
+## Getting Started with Jupyter Notebook (for 6.x.x and older version)
+
+### 1. Requirements
+
+Visual Python is an extension to Jupyter Notebook, so you must have Jupyter Notebook installed already. You need old version of Jupyter Notebook under version 6.x.x.
+- Python version 3.x
+- Jupyter notebook environment <= 6.x
+
+### 2. How to Install
+
+**1) Install package from PyPI**
+```
+pip install visualpython
+```
+
+**2) Enable the package**
+```
+visualpy install
+```
+
+**3) Activate Visual Python on Jupyter Notebook**
+
+Click orange square button on the toolbar of Jupyter Notebook.
+
+### 3. Package Control Info
+* Usage: visualpy **[option]**
+* Optional arguments:
+
+```
+help - show help menu
+install - install packages
+uninstall - uninstall packages
+upgrade - version upgrade
+version - version check
+```
+
+## Getting Started with Google Colab
+### 1. Requirements
+
+Visual Python is an extension to Google Colab, so you must have Google Colab opened.
+- Google Colab
+
+### 2. How to Install
+
+**1) Install package using Chrome Web Store**
+- [Link to Visual Python for Colab](https://chrome.google.com/webstore/detail/visual-python-for-colab/ccmkpknjfagaldcgidgcipbpdipfopob)
+
+**2) Open Google Colab**
+- [Link to Google Colab](https://colab.research.google.com/)
+
+**3) Activate Visual Python on Google Colab**
+
+
+## Getting Started with Visual Python Desktop
+### 1. Introduction
+Visual Python Desktop is an installer to create an isolated jupyter environment and enable to use Visual Python easily.
+
+It simplifies the process of configuring an independent Python environment, installing essential packages, and setting up a Jupyter environment, allowing users to focus on data analysis using python.
+
+### 2. Requirements
+- Operating System: Windows 10 or later (macOS and Linux support coming soon)
+- Minimum 4GB RAM, recommended 8GB RAM or higher
+- Minimum 10GB of disk space
+
+### 3. How to Install
+1) Download Visual Python Desktop installer from homepage.
+ - [Link to Visual Python Desktop installer page](https://visualpython.ai/visualpython-desktop)
+
+2) Run the installer and follow the provided instructions for the installation process.
+
+3) Use the shortcut created in Start menu or on Desktop to execute Jupyter Notebook (Visual Python), Jupyter Lab (Visual Python), and Visual Python Prompt according to your needs.
+
+## Contributing
+If you are interested in contributing to the Visual Python, please see [`CONTRIBUTING.md`](CONTRIBUTING.md).
+All skills from programmers, non-programmers, designers are welcomed.
+
+* Programming Guide: [Developer Documentation](https://bird-energy-733.notion.site/visualpython-docs-85c0274ff7564747bb8e8d77909fc8b7)
+* GUI Design Guide: [Visual Python GUI Kit 1.0](https://www.figma.com/community/file/976035035360380841)
+
+### Maintainers & Contributors
+[](https://github.com/visualpython)
+[](https://github.com/leeraejung)
+[](https://github.com/minjk-bl)
+[](https://github.com/llbtl)
+[](https://github.com/blacklogicdev)
+[](https://github.com/Minku-Koo)
+[](https://github.com/8orrin9)
+
+Whoever wants to contribute or join our community,
+You can contact us by creating issues on [Issue page](https://github.com/visualpython/visualpython/issues) or using [Discord server](https://discord.gg/PypQrBZWZv).
+
+
+## License
+GNU GPLv3 with Visual Python special exception (See LICENSE file).
+
+## Mission & Vision
+**Mission**
+To support technology and education so that anyone can leverage big data analytical skills to create a variety of social values.
+
+**Vision**
+To create an environment where everyone can learn and use big data analytical skills easily.
+
+## Support Visual Python
+Love Visual Python?
+Your support will help us continue to actively develop and improve Visual Python.☕
+
+[](https://github.com/sponsors/visualpython?frequency=recurring)
diff --git a/jupyterlab/Untitled.ipynb b/jupyterlab/Untitled.ipynb
new file mode 100644
index 00000000..f7fc91e8
--- /dev/null
+++ b/jupyterlab/Untitled.ipynb
@@ -0,0 +1,365 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "a891a0cd-ae74-4eaf-84fe-8072d65c83b2",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "id": "db6f55ff-9ddc-4ec1-909b-9582d84f8186",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Visual Python: Data Analysis > Import\n",
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "import matplotlib.pyplot as plt\n",
+ "%matplotlib inline\n",
+ "import seaborn as sns"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "id": "e6648223-bd7a-4fcc-8beb-536030401ef6",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
");
- var sbforParamDom1 = sbforParam.toString();
- var $sbforParamDom1 = $(sbforParamDom1);
-
- var sbforName = new sb.StringBuilder();
- sbforName.appendFormatLine("
");
- var sbforParamDom2 = sbforParam2.toString();
- var $sbforParamDom2 = $(sbforParamDom2);
-
- /** For in */
- var sbforParamIn = new sb.StringBuilder();
- sbforParamIn.appendFormatLine("
'); // VP_DS_SELECT_CONTAINER
- return tag.toString();
- }
-
- /**
- * Render column list box
- * @param {Array} colList
- */
- SubsetEditor.prototype.renderColumnSelectionBox = function(colList) {
- var tag = new sb.StringBuilder();
- tag.appendFormatLine('
', VP_DS_SELECT_BOX, 'left', VP_DS_DROPPABLE, 'no-selection');
- // get col data and make draggable items
- colList.forEach((col, idx) => {
- tag.appendFormatLine('
');
- tag.appendLine('');
-
- // use text
- tag.appendFormatLine(''
- , 'vp-condition-use-text', 'vp-cond-use-text', 'Uncheck it if you want to use variable or numeric values.', 'Text');
- tag.appendLine('
-## Introduction
-Visual Python is a GUI-based Python code generator, developed on the Jupyter Notebook environment as an extension.
-
-
+[](https://pypi.python.org/pypi/jupyterlab-visualpython/)
+
+[](https://github.com/visualpython/visualpython/blob/main/LICENSE)
+[](https://pepy.tech/project/visualpython)
+[](https://github.com/visualpython/visualpython/issues)
+[![lite-badge]][lite]
-1. Key Features
-* Automatically generates Python code based on a graphic user interface 
-## Getting Started
+## Getting Started with Jupyter Lab
### 1. Requirements
-Visual Python is developed as an extension on Jupyter Notebook. 
](https://github.com/leeraejung)
+[
](https://github.com/minjk-bl)
+[
](https://github.com/llbtl)
+[
](https://github.com/blacklogicdev)
+[
](https://github.com/Minku-Koo)
+[
](https://github.com/8orrin9)
+
+Whoever wants to contribute or join our community, .png)
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