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Setup for testing Jupyter Notebooks
Don Jayamanne edited this page May 31, 2024
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1 revision
There are a number of options for setting up Python to test Jupyter Notebooks.
- Create a new Codespace using the template Jupyter Notebook

Note:
- The Jupyter extension will only show 1 Python environment in the kernel Picker
WARNING
- When using Python extension, always remember to use the same Python env as used by Jupyter Kernel Picker
Note: Ensure you have Python installed
Here are some ways to create a virtual environment
- Select the Command
Python: Create Environment...and follow the prompts - Use the
Create Python Environmentfrom the Kernel Picker


- Ensure you have [Remote Development[[() extension pack installed
- Open the Jupyter extension repo in VS Code
- Select the command
Dev Containers: Reopen in Container - From the list of container select any of the items with the pattern
test-*-pythonThese are containers that open in a test folder and have Python installed and setup.
- 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