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IPyKernel & other dependencies are installed, yet I am asked to install these dependencies
Don Jayamanne edited this page Mar 10, 2022
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1 revision
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The kernel used by the notebook is not the same as the Python environment into which
ipykernel
has been installed. Please consider changing the kernel -
The dependencies such as
ipykernel
are outdated or not installed correctly.
Try re-installing the packages with the dependencies as follows:# if using conda, where `env name` is the name of the conda environment. conda install -c conda-forge -n <env name> ipykernel --update-deps --force-reinstall # if not using conda <fully qualified path to Python> -m pip install ipykernel -U --force-reinstall
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pip
not available to install missing dependenciesIf
pip
is not available, then please installpip
from here.
Once installed, please re-try to install the dependencies from the Jupyter extension in VS Code (the extension should be able to install the missing dependencies from here on).
- 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