Visual Studio Code Data Science Extension Pack

This Python Data Science extension pack includes some of the most popular and useful VS Code extensions for doing data science work in Python.

This extension pack is designed to provide comprehensive tools for your data science workflows from preparing data, conducting data analysis, and visualizing data, to prototyping, evaluating, and training ML models. It includes the following extensions:

Data exploration and analysis

• Jupyter - Create and edit Jupyter Notebooks
• Data Wrangler - Explore, visualize, and clean tabular data
• Rainbow CSV - Highlight CSV and TSV files and run SQL-like queries
• Excel Viewer - Edit Excel spreadsheets and CSV files from VS Code
• SandDance - Visually explore, understand, and present data

ML workflow and environment management

• SSH - Open any folder on a remote machine using SSH
• GitHub Codespaces - Instantly connect to cloud-hosted development environments
• DVC - Manage machine learning experiments with tracking, plots, and data versioning

Python support and development optimization

• Python + Pylance - Get rich support for the Python language
• Python Environment Manager - View and manage Python environments & packages
• IntelliCode - Write code with intelligent code completion and suggestions
• GitHub Copilot - AI pair programmer

Try on Codespaces

Try out this extension pack on GitHub Codespaces--a cloud-hosted data science development environment!

1. Ensure you're signed up and logged into your GitHub account
2. Navigate to the GitHub Codespaces page
3. Click the green New codespace button on the top right corner (or the Jupyter Notebook template, if you'd like a sample project)
4. Once your Codespace loads, navigate to the Extensions tab (Cmd + Shift + X)
5. Search for and install the Python Data Science extension pack (@id:ms-toolsai.python-ds-extension-pack)

Providing Feedback

Please provide feedback, file issues, and request adding / removing extensions in the issues tab.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.