Package: visualpython
IntroductionVisual Python is a GUI-based Python code generator, developed on theJupyter Lab,Jupyter NotebookandGoogle Colabas an extension. You can also simply use Visual Python usingVisual 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 Lab1. RequirementsVisual Python is an extension to Jupyter Lab, so you must have Jupyter Lab installed already.Python version 3.xJupyter lab environment2. How to Install1)  Install package from PyPIpip install jupyterlab-visualpythonIf you are usingJupyter Lab version <= 3.x.x, please installjupyterlab-visualpython==2.5.0pip install jupyterlab-visualpython==2.5.02)  Activate Visual Python on Jupyter LabClick orange square button on the right side of Jupyter Lab.Getting Started with Jupyter Notebook(>= 7.x)1. RequirementsVisual 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.xJupyter notebook environment >= 7.x2. How to Install1)  Install package from PyPIpip install jupyterlab-visualpython2)  Activate Visual Python on Jupyter NotebookClick orange square button on the toolbar of Jupyter Notebook.Getting Started with Jupyter Notebook(<=6.x.x)1. RequirementsVisual 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.xJupyter notebook environment <=6.x2. How to Install1)  Install package from PyPIpip install visualpython2)  Enable the packagevisualpy install3)  Activate Visual Python on Jupyter NotebookClick orange square button on the toolbar of Jupyter Notebook.3. Package Control InfoUsage: visualpy[option]Optional arguments:help       - show help menu
install    - install packages
uninstall  - uninstall packages
upgrade    - version upgrade
version    - version checkGetting Started with Google Colab1. RequirementsVisual Python is an extension to Google Colab, so you must have Google Colab opened.Google Colab2. How to Install1)  Install package using Chrome Web StoreLink to Visual Python for Colab2)  Open Google ColabLink to Google Colab3)  Activate Visual Python on Google ColabGetting Started with Visual Python Desktop1. IntroductionVisual 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. RequirementsOperating System: Windows 10 or later (macOS and Linux support coming soon)Minimum 4GB RAM, recommended 8GB RAM or higherMinimum 10GB of disk space3. How to InstallDownload Visual Python Desktop installer from homepage.Link to Visual Python Desktop installer pageRun the installer and follow the provided instructions for the installation process.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.ContributingIf you are interested in contributing to the Visual Python, please seeCONTRIBUTING.md.All skills from programmers, non-programmers, designers are welcomed.Programming Guide:Developer DocumentationGUI Design Guide:Visual Python GUI Kit 1.0Maintainers & ContributorsWhoever wants to contribute or join our community,You can contact us by creating issues onIssue pageor usingDiscord server.LicenseGNU GPLv3 with Visual Python special exception (See LICENSE file).Mission & VisionMissionTo support technology and education so that anyone can leverage big data analytical skills to create a variety of social values.VisionTo create an environment where everyone can learn and use big data analytical skills easily.Support Visual PythonLove Visual Python?Your support will help us continue to actively develop and improve Visual Python.☕