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- To integrate Jupyter Notebook with VS Code, first install the prerequisite software, such as Python, from https://www.python.org/downloads[a]/
- From the VS Code Extensions Marketplace, install the ‘Python’ extension by Microsoft.
- And install the Jupyter extension, which enables full notebook support, including creating, editing, and running .ipynb files.
- Once all prerequisite installers are installed, verify that Python is connected to VS Code by running python --version in the terminal.
- Next, run pip install notebook, or if you are using Conda, run conda install jupyter to install Jupyter Notebook.
- To verify that the integration was successful, open a .ipynb file in VS Code and run it.
- If it runs successfully, the output will appear below each code cell.
How to Integrate Jupyter Notebook with VS Code
Try this interactive demo to learn how to integrate jupyter notebook with VS Code.
📌 Why this matters
This integration transforms VS Code into a complete data science workspace, letting you combine exploratory analysis with production code in a single environment. You can seamlessly switch between notebook cells for experimentation and regular Python files for building modules, all while maintaining the same debugging tools, version control, and extensions. The real advantage emerges when collaborating with software engineers who prefer traditional IDEs – your notebooks become part of the same development workflow rather than isolated analysis documents.
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