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microsoft / vscode-jupyter Public

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Kernel Completions

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Don Jayamanne edited this page Nov 21, 2023 · 1 revision

Jupyter Kernels can sometimes provide code completions (aka intellisense) based on the state of the kernel.

Wiki pages Pages 83

Home
Accessing Jupyter Kernels from 3rd party extensions
AI Ready
Build Champion
Coding Guidelines
Component: IPyWidgets
Connecting to a remote Jupyter server from vscode.dev or github.dev
Debugging the extension
Errors that code can throw
Experiments
Extensibility for other extensions
Extension API
Failed to execute a cell as the Kernel Session has been disposed
Failure to start Kernel as `traitlets` module used by Jupyter could be outdated
Failure to start Kernel due to built in modules being overridden by user code
Failure to start kernel due to failures in importing modules
Failure to start kernel due to failures in importing modules from files
Failure to start kernel due to failures in loading Dlls
Failure to start kernel due to failures related to pyzmq module
Failure to start kernel due to failures related to win32api module
Failure to start kernel due to missing package pip
Failure to start Kernel due to Modules not installed
Failure to start kernel due to the use of outdated IPyKernel module
Failure to start kernel due to the use of outdated IPython module
Failure to start kernel when using Conda Environments
FAQ (Frequently Asked Questions)
Finding the code that is causing high CPU load in production
General overview of Kernel Discovery & Execution in Jupyter (& extension)
How debuggers work
How interactive debugging works (old way)
How notebook debug cell works
How notebook run by line works
How python debugging works
How to debug the debugger
How to install from VSIX on VS Code when using Remote SSH
How to test Azure AML Widgets
How variables are fetched
Import Export
Install and Setup Jupyter Notebook Lab for Testing
Installing Jupyter
Installing Python packages in Jupyter Notebooks
Integration Tests
Intellisense for notebooks
Intellisense for notebooks (old way)
Introducing Native Notebooks
IPyKernel & other dependencies are installed, yet I am asked to install these dependencies
IPyKernel and other dependencies are not installed
IPyWidget Architecture Challenges
IPyWidget Support in VS Code Python
Iteration Plan for August 2021
Jupyter Kernel API Access
Jupyter Kernels and the Jupyter Extension
Kernel Completions
Kernel crashes
Kernel crashes when using fastparquet
Kernel crashes when using ibm db
Kernel crashes when using numpy
Kernel crashes when using tensorflow
Kernel Discovery (architecture)
Kernel Execution
Kernels (Architecture)
Kernels fail to start as ports are blocked
Language support for notebook and interactive window
Loading Kernels from insecure directories
Module Dependencies
Profiling
Raw vs Jupyter Kernels
React WebViews: Variable Viewer, Plot Viewer, and Data Viewer
Resolving Component Governance and Dependabot issues (updating package lock.json)
Setting Up Run by Line and Debugging for Notebooks
Setup for testing Jupyter Notebooks
Source Code Organization
Terminology
Tests
Tips for Wiki Editing
Troubleshooting (WIP)
Troubleshooting Jupyter issues in the Python Interactive Window or Notebook Editor
Unit Tests
Upgrading Node directions
Using %matplotlib widget instead of %matplotlib notebook,tk,etc
Using the jupyterlab services API
Using unsupported Python Environments
Verify you are on the latest version of VS Code and Jupyter extension

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Jupyter Kernels and the Jupyter Extension

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Setup Python for Testing
How to test Azure AML Widgets

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