Managing Environments

1. Creating Environments
   1. Empty Environment
   2. Environment with Required Packages
2. Adding Environments as Jupyter Kernels

Creating Environments

Empty Environment

1. Create the environment:

    conda create -n demo_env
   

2. Activate the environment: (don’t forget this!)

    conda activate demo_env
   

3. Install packages:

    conda install ipykernel numpy pandas
   

Environment with Required Packages

Do it all in one line:

conda create -n demo_env ipykernel numpy pandas

Adding Environments as Jupyter Kernels

Ensure your environment has ipykernel installed:

conda activate demo_env
conda install ipykernel

Then, add the kernel to Jupyter:

ipython kernel install --user --name=demo_env