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https://github.com/crazy4pi314/pydataglobal2022

PyData Global Workshop: Jupyter Notebooks in VS Code
https://github.com/crazy4pi314/pydataglobal2022

jupyter jupyter-notebook pydata pydataglobal vscode workshop

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PyData Global Workshop: Jupyter Notebooks in VS Code

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Visual Studio Code is one of the most popular editors in the Python and data science communities, and the extension ecosystem makes it easy for users to easily customize their workspace for the tools and frameworks they need. Jupyter notebooks are one such popular tool, and there are some really great features for working in notebooks that can reduce context switching, enable multi-tool workflows, and utilize powerful Python IDE features in notebooks. This tutorial is geared for all Jupyter Notebook users, who either have interest in or are regularly using VS Code. Participants will learn how to use some of the best VS Code features for Jupyter Notebooks, as well as a bunch of other tips and tricks to run, visualize and share your notebooks in VS Code. Some familiarity with Jupyter Notebooks is required, but experience with VS Code is not necessary. Materials and sample notebooks for the tutorial will be hosted on GitHub, which participants will be able to launch in their browser in the VS Code editor with GitHub Codespaces with no local setup. Participants will also be encouraged if they have VS Code installed locally that they can open one of their own notebooks and try out the features as we go along.



## Topics



[schedule](https://global2022.pydata.org/cfp/talk/WYCBXN/) | [slides](slides.pdf) | recording coming soon



- Starting up a project in VS Code

  - Notebook UI

  - Configuring your kernel/where your code is run (local and remote)

  - Git is easy(er) with built-in source control in VS Code

- Editing notebooks

  - Intellisense code hints/tips

  - Keyboard shortcut configuration and code snippet templates

  - Documentation + Linting extensions for Python

- Executing Notebooks

  - Debugging code in notebooks

  - Testing in notebooks

  - Interactive widgets in notebooks

  - Extensions to help connect to cloud notebook kernels

- Sharing Notebooks

  - Comparing notebook changes

  - Saving/exporting images and notebooks

  - Live Share for group programming + Codespaces

- What's coming next for Notebooks in VS Code

  - Polyglot notebooks [[announcement](https://devblogs.microsoft.com/dotnet/dotnet-interactive-notebooks-is-now-polyglot-notebooks/), [extension](https://marketplace.visualstudio.com/items?itemName=ms-dotnettools.dotnet-interactive-vscode)]

  - [Data wrangler](https://www.youtube.com/watch?v=7dVnCGHJI4c)

- Wrap-up and where to learn more

  - [Jupyter Extension Discussions](https://github.com/microsoft/vscode-jupyter/discussions)

  

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 ## Awesome extensions for working with Notebooks:

- [Jupyter](https://marketplace.visualstudio.com/items?itemName=ms-toolsai.jupyter)

- [Python](https://marketplace.visualstudio.com/items?itemName=ms-python.python)

- [Python Environments](https://marketplace.visualstudio.com/items?itemName=donjayamanne.python-environment-manager)

- [autoDocstring](https://marketplace.visualstudio.com/items?itemName=njpwerner.autodocstring)

- [Liveshare](https://marketplace.visualstudio.com/items?itemName=MS-vsliveshare.vsliveshare)

- [Code Spell Checker](https://marketplace.visualstudio.com/items?itemName=streetsidesoftware.code-spell-checker)

- [Remote Development](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.vscode-remote-extensionpack)

- [GitHub Pull Requests and Issues](https://marketplace.visualstudio.com/items?itemName=GitHub.vscode-pull-request-github)

- [GitHub Copilot](https://marketplace.visualstudio.com/items?itemName=GitHub.copilot)

- [Rainbow CSV](https://marketplace.visualstudio.com/items?itemName=mechatroner.rainbow-csv)

- [Git History](https://marketplace.visualstudio.com/items?itemName=donjayamanne.githistory)



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## Hi, I'm Sarah!👋



I have been using both Jupyter Notebooks and VS Code for almost 10 years in a variety of academic and industrial contexts, and love sharing what I have learned along the way. This tutorial is a collection of the most interesting tools/tips that I have learned or frequently demo to other notebook users in the scientific Python community <3



> Ask questions or say hi! https://sckaiser.com or  [@[email protected]](https://mathstodon.xyz/@crazy4pi314)