Have you ever encountered this scenario? Using Jupyter notebook but no access to your conda environment? Don’t fret, I will walk you through from creation of a conda environment to using your conda environment in Jupyter.

Step 1: Create a new Conda Environment

This command will create a virtual environemt named py38 with Python v3.8. Change the name to whatever you want.

conda create --name py38 python=3.8

Also, you can refer to the link here for the conda shortcuts.

Step 2: Activate your environment and install packages

$ conda activate py38
(py38)$ conda install ipykernel
(py38)$ ipython kernel install --user --name=<any_name_for_kernel>
(py38)$ conda deactivate

Step 3: Start up Jupyter

jupyter notebook

Change kernel

Go to navbar and select Kernel > Change kernel >

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