This is a code snippet to allow you to use a Python environment within a Jupyter Notebook on Windows.
conda create -n newenv python=3.7
activate newenv
conda install -c anaconda ipykernel
ipython kernel install --user --name=envname
Now let’s break it down into steps.
Step 1: Create your environment
Using conda in your terminal, type:
conda create -n newenv python=3.7
newenv is the name of your new environment.
Step 2: Activate your environment
In the terminal:
activate newenv
Step 3: Install ipykernel
In the active environment, type:
pip install ipykernel
Or if you want to use conda:
conda install -c anaconda ipykernel
Step 4: Install the new kernel
In the active environment, type:
ipython kernel install --user --name=envname
envname can be anything, but I recommend using the same name as the environment so that it does not get too confusing.
Step 5: Open Jupyter Notebook / Lab
You should now see the new environment when you open Jupyter. With notebooks, you can select it as a kernel when you create a new notebook. In Lab, you should see it listed as a notebook option on your Launcher.
Removing an Environment from Jupyter
To remove an environment from Jupyter, simply run the following code:
jupyter kernelspec uninstall envname