How To Register Kernel With Jupyter
As data scientist, I daily work with Jupyter Notebook/ Jupyter Lab. One matter that I used to google a lot every time I commencement a new project is how to create a new conda environment and add together it as Jupyter Kernel.
In this article, I will try to summarize the steps taken to tackle this issue.
✏️ Table of Contents
- Brandish all conda envs
- Create a new conda env
- Remove a conda env
- Add together conda env as Jupyter Kernel
- List Jupyter Kernels
- Delete a Jupyter Kernel
- Silent Installation of Python Package
- Conclusion
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Display all conda envs
Simply open your last and type the following command:
conda env list
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Create a new conda env
To create a new conda environment named 'ex' just run the post-obit command named:
conda create -n ex #where 'ex' is the name of your new conda environment
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This will create a new conda env using the current Python version if you want a specific Python version that is non your current version, so:
conda create -n ex python=3.6
You lot can validate that the new environs was created by printing all conda envs conda env listing
.
Remove a conda env
If you finished the projection and you now desire to delete the conda environment (in that instance env named 'ex') simply run the following:
conda env remove -n ex
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Add conda env equally Jupyter Kernel
This can be washed easily past post-obit the beneath steps:
Kickoff activate the env as follow:
conda actuate ex
Secondly install the ipykernel:
conda install -c anaconda ipykernel
Finally, for the env ex create the kernel you can define too the Kernel name:
python -m ipykernel install --user --name ex --display-proper name "Python (ex)"
You lot tin can now deactivate the env conda deactivate env
open Jupyter Lab jupyter lab
and see the following option:
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List Jupyter Kernels
Go a list of bachelor Jupyter Kernels by running:
jupyter kernelspec listing
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Delete a Jupyter Kernel
Delete an available Jupyter Kernels by running:
jupyter kernelspec uninstall ex
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and confirm that it was successfully uninstalled by running jupyter kernelspec listing
while information technology still exist every bit a conda env.
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🔕 Silent Installation of Python Package
A overnice fob to silently install a conda package is to simply add -y
, --yes
selection in the end.
conda install -c anaconda cx_oracle -y
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🤖 Conclusion
This brings the states to the cease of this article. Hope you lot got a basic agreement of how create, add and remove a conda environment as Jupyter Kernel.
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How To Register Kernel With Jupyter,
Source: https://gdcoder.com/how-to-create-and-add-a-conda-environment-as-jupyter-kernel/
Posted by: casonfivemplarity1974.blogspot.com
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