The Quickest Way to Install Conda Environment as Jupyter Kernel

You have set up your Conda Env and are excited to get started on your new project. However, you are not able to use this brand new env in jupyter notebook by default. That's a bummer! But don't worry. In this short tutorial, we will learn how to install Conda env as Jupyter kernel in 2 steps.

Step 1: Create a short bash file

Assuming that you are cloning the base env to create a new env (let call it myenv), which is usually the case. Create a short bash file as shown below.

#!/bin/sh
# content of env.sh file
# cloning base env and creating myenv
conda create --name myenv  --clone base
# activating your new env
conda activate myenv
# installing required package
conda install ipykernel
# installing jupyter kernel
python -m ipykernel install --user --name=myenv

Step 2: Run the bash file

Run the env.sh file in your terminal

sh bash.sh

Restart your jupyter notebook and you are done!! Please give a clap if this article helped you 🙏🏻