PyPI version shields.io Python: 3.x License: GPLv3 Downloads Issues: lite-badge

Introduction

Visual Python is a GUI-based Python code generator, developed on the Jupyter Lab, Jupyter Notebook and Google Colab as an extension. You can also simply use Visual Python using 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

2) Open Google Colab

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.

  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.
All skills from programmers, non-programmers, designers are welcomed.

Maintainers & Contributors

Whoever wants to contribute or join our community,
You can contact us by creating issues on Issue page or using Discord server.

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.☕

donate_banner

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for BlackLogic.DEV from gravatar.com BlackLogic.DEV

Credits

Author: Black Logic Co.,Ltd.

License

GPLv3

Requires

Python >=3.6

Tags

VisualPython visualpython visual python Visual Python Visual visual

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Release files for visualpython 3.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for visualpython 3.0.2
File Size Uploaded
visualpython-3.0.2.tar.gz 15.0 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for visualpython 3.0.2
File Interpreter ABI Platform
visualpython-3.0.2-py3-none-any.whl 15.2 MB Python 3 none any Details

Total release size: 30.2 MB

Release files / visualpython-3.0.2.tar.gz

Download URL visualpython-3.0.2.tar.gz
Size 15.0 MB
Tags Source
SHA-256 checksum
How to use checksums 		113330b7c2c4c115b821ae4f3feb9c8d8803ec225e50f7c04b03f52c0d36d3ef
BLAKE2b-256 checksum
How to use checksums 		c5fd0ec9c7328af16c62f1c917be9893cb840ebecb6a2c802942fa1f6cbe4cd5
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Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.2 CPython/3.8.18

Release files / visualpython-3.0.2-py3-none-any.whl

Download URL visualpython-3.0.2-py3-none-any.whl
Size 15.2 MB
Tags Python 3
SHA-256 checksum
How to use checksums 		ce6d080cdc1111844c21b5a2be41ecc607f7fe260f4f6f5d42e56c248e0191ac
BLAKE2b-256 checksum
How to use checksums 		ce5751e0d38ba85aa77e53e70ab2209a5f891a1c20916738403a5d174a2668d1
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Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.2 CPython/3.8.18

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