In this video, you'll learn how to create your very first Jupyter Notebook in VS Code, including setting up your environment, running and debugging code, and visualizing data. Getting started with Jupyter Notebooks has never been easier!

🔎 Chapters:
00:00 Install
00:50 Setting up your environment
02:29 Running text, code and visuals in one notebook
04:59 Debugging options
05:22 Variable explorer
06:10 Outro
Happy Coding!

Docs - https://code.visualstudio.com/docs/datascience/jupyter-notebooks 
Anaconda installation - https://docs.anaconda.com/anaconda/install/

Featuring: Olivia Guzzardo McVicker

#visualstudiocode #vscode #jupyternotebook

Visual Studio Code is a lightweight and powerful code editor developed by Microsoft, offering built-in support for multiple programming languages, debugging, and extensions. From this resource developers can learn about VSCode's features, extensions, and customization options to enhance their coding productivity and workflow.

Visual Studio Code

VS Code supports Jupyter Notebooks natively, making it easy to get started. Install the Jupyter and Python extensions first. Use the command palette to create a new Jupyter notebook and connect to a kernel, preferably within a virtual environment. Features include code execution, markdown cells for organization, and advanced tools like the variable explorer and debugging options. VS Code offers a seamless coding and data analysis experience.

Getting Started with Jupyter Notebooks in VS Code

<p>🤩 Just spent the day setting up Jupyter Notebooks in VS Code using a virtual environment, and I can attest that the variable explorer and debugging tools are game-changers for data analysis - highly recommend giving it a try 👍</p>


<p>The Data Wrangler extension is new for me, but quite nice! Thanks!</p>
