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In this video, Jupyter Notebooks in VS Code, we explore how to code and see your results instantly. Jupyter in VS Code allows you to write Python code, run it, and visualize everything in one place, making it super easy to get started with coding. Whether you’re learning Python or working on a complex project, this tool simplifies the coding process. We’ll cover how to set up Jupyter Notebooks in VS Code, how to start coding in Python, and how to use GitHub Copilot to speed up your coding by suggesting code as you go. Additionally, we’ll show you how to work with code cells, create markdown sections for documentation, and generate visualizations directly in your notebook. We’ll also dive into debugging and exploring variables with the built-in Variable Explorer, making it easier to troubleshoot and refine your code.

00:00 - Introduction to Jupyter in Vscode
00:43 - Setting Up Jupyter Notebook in VS Code
04:18 - Setting Up Your Environment
06:34 - Running Your First Python Code
08:06 - Working with Code and Markdown Cells
08:55 - Using GitHub Copilot for Code Generation
09:53 - Visualizing Data with Matplotlib
11:07 - Debugging Code and Setting Breakpoints
11:26 - Exploring Variables with Jupyter Variable Explorer

If you’re looking to get hands-on with Python in a flexible and interactive way, this video has everything you need to get started with Jupyter Notebooks in VS Code!

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