Using Visual Studio Code (VS Code) for Python and Version Control

If you’re having trouble with Anaconda or JupyterLab, don’t worry! Visual Studio Code (VS Code) is an excellent alternative. This tutorial will guide you through setting up VS Code, working with Python and Jupyter Notebooks, and managing code versioning with Git—all in one powerful and user-friendly code editor.

Tutorial Video

This video is designed for those eager to explore beyond the basics. In this tutorial, we’ll cover everything you need to get started with VS Code, Python, and Git.

Click the image above to watch the video on YouTube!

What You’ll Learn

1. Introduction to Anaconda, JupyterLab, and VS Code

   • An overview of these tools and how VS Code can serve as an alternative.

2. Installing VS Code

   • Step-by-step instructions for downloading and installing Visual Studio Code.

3. Setting Up Python and Jupyter Extensions

   • How to install and configure the Python extension for coding.

   • Adding the Jupyter extension to work with notebooks inside VS Code.

4. Creating Your First Notebook in VS Code

   • A walkthrough on creating and running a Jupyter Notebook using VS Code.

5. Installing Git on Your System

   • Guide to installing Git and ensuring it is properly configured for use with VS Code.

6. Initializing and Cloning a Git Repository in VS Code

   • How to initialize a new Git repository or clone an existing one directly in VS Code.

7. Pushing Changes to a Repository from VS Code

   • Instructions on committing and pushing your code changes to a remote GitHub repository.

Why Choose VS Code?

• Lightweight and highly customizable for your specific coding needs.

• Easy integration with Python and Jupyter Notebooks.

• Built-in Git support for seamless version control and collaboration.

• A wide range of extensions to enhance your coding experience.

Resources

• Official VS Code Website

• Git Downloads

• Python Downloads

How to Get Help

If you encounter issues while setting up or working with VS Code:

• Re-watch the video tutorial linked above for detailed steps.

• Visit the course D2L platform to post questions or participate in discussions.

• Check the VS Code documentation for further assistance.

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This tutorial ensures you have all the tools you need to succeed. Whether you’re using Anaconda or VS Code, the choice is yours—let’s get coding!