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Setting Up Run by Line and Debugging for Notebooks
Jim Griesmer edited this page Aug 30, 2021
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- Use Anaconda Navigator or an Anaconda prompt to install ipykernel 6.2.0 into your desired notebook environment.
- Close and reopen VS Code and your desired notebook. The
Developer: Reload Window
command works well for this.
- Open a Python terminal and activate your desired notebook environment.
- Run
pip install -U ipykernel
- Close and reopen VS Code and your desired notebook. The
Developer: Reload Window
command works well for this.
- Ensure that ipykernel version 6.0 or greater is installed in the environment you're using for your notebook.
- Ensure you're using VS Code v1.60 or greater.
- Ensure you're have Jupyter Extension v2021.9 or greater installed.
- Ensure that you're using a kernel based on Python 3.7 or greater.
- Ensure you've restarted VS Code after verifying all of the above.
If all of the above are in order, please feel free to log a bug with further details.
- Contribution
- Source Code Organization
- Coding Standards
- Profiling
- Coding Guidelines
- Component Governance
- Writing tests
- Kernels
- Intellisense
- Debugging
- IPyWidgets
- Extensibility
- Module Dependencies
- Errors thrown
- Jupyter API
- Variable fetching
- Import / Export
- React Webviews: Variable Viewer, Data Viewer, and Plot Viewer
- FAQ
- Kernel Crashes
- Jupyter issues in the Python Interactive Window or Notebook Editor
- Finding the code that is causing high CPU load in production
- How to install extensions from VSIX when using Remote VS Code
- How to connect to a jupyter server for running code in vscode.dev
- Jupyter Kernels and the Jupyter Extension