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Kernels (Architecture)
Peng Lyu edited this page Jul 22, 2022
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Pre-requisites
- Please read Terminology
The core functionalities offered by the Kernels component are
- Kernel discovery. Responsible for finding Jupyter kernels on user's machine, connecting to remote jupyter servers and turning Python interpreters into Jupyter environments. More details in general overview and code architecture
- Kernel launcher. Launching the selected Jupyter kernel with proper environment.
- Execution. Handling the messages between the extension and Jupyter kernel.
- 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