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Jupyter Kernel API Access
The Jupyter Extension provides an extensibility point allowing other extension to access the Jupyter Kernels.
However access to Jupyter Kernels is not provided to these extensions without the consent of the user.
This is because providing access to Kernels means, other extensions can then execute code against these kernels which could be either local or remote.
When an extension attempts to access a Jupyter Kernel, the user will be prompted to grant or remove access to the Kernels.
Granting access to Kernels for a specific extension, give that extension the ability to execute code on that kernel (local &/or remote).
Users can manage (gran/revoke) access to the Jupyter Kernels per extension via the command Jupyter: Manage Access To Jupyter Kernels
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- 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