Setting up virtual python kernel in environment

Introduction

Do this to enable code to run inside Jupyer notebooks in your new environment.

Installation

Once you have created and activated a conda environment:

Let's assume environment is called learn, and we are in the Anaconda Prompt under Windows or at a shell prom,pt in WSL2/Linux:

• create and activate environment conda create --name learn conda activate learn

• install ipykernel and notebook : conda install ipykernel notebook

• match the kernel to the name of the environment: python -m ipykernel install --user --name=learn

Use inside Jupyter Notebook:

• run Jupyter Notebook jupyter notebook

• access the environment when creating a new notebook:

Use inside Jupyter Lab

• run Jupyter lab jupyter lab

• access the environment when creating a new notebook:

• or access this environment for an existing notebook

Use inside VS Code

Kernels / environments set up this way are also accessible inside VS Code via the kernel selector when running python scripts:

or Jupyter notebooks:

See also

• Conda Environments