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

Display all conda envs

Simply open your last and type the following command:

          conda env list

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

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

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:

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

and confirm that it was successfully uninstalled by running jupyter kernelspec listing while information technology still exist every bit a conda env.

🔕 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

🤖 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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