Introduction to Jupyter Notebooks in VS Code

Jupyter Notebooks are a popular way to create and share documents for data analytics. They are interactive, easy to share, and support a wide variety of data science tools.

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IMPORTANT: To run Jupyter within VS Code, use the Jupyter extension. Go to the Extensions pane on the left sidebar (the icon looks like four squares), searching for "Jupyter," and installing the "Jupyter" extension provided by Microsoft.

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Task 1: Use and Explore the Demo Project / Repository / Notebook

Step 1: Copy and Clone the Example Repository

1. Click "Use this template" on this example repository (if it's not a template, click "Fork" instead).
2. Clone the repository to your machine: git clone example-repo-url
3. Open your new cloned repository in VS Code.

Step 2: Set Up and Run the Demo Notebook

Next, create and activate a virtual environment for this project. Also install additional dependencies required for this project. See requirements.txt for detailed instructions.

A. Create .venv B. Activate .venv C. Install dependencies into .venv D. Select VS Code interpreter to use .venv

Step 3: Open Notebook, Create/Select Kernel

1. Open the provided Jupyter Notebook (demo-notebook.ipynb):
2. Create and select the notebook kernel. See requirements.txt Step E for detailed instructions.

Step 4: Explore the Notebook Cells and Code

Open the Notebook and click Run all to execute it.

• Explore how notebooks have cells.
• Our notebook cells are either Markdown or Python.
• Try to add new cells.
• Try to change the type of a cell.
• Try some Markdown in a Markdown cell.
• Try some Python in a Python cell.
• Review the code and see how it works.

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Troubleshooting and Tips

• See TROUBLESHOOTING.md

Additional Resources

• See RESOURCES.md