custom environments

Creating the environment

1. Open a new Terminal

2. in case the environment should be available permanently

conda config --add envs_dirs /home/jovyan/.conda_envs

3. create environment with conda

conda create --name myenv

4. initialize bash shell

conda init bash

5. restart shell

source ~/.bashrc

6. activate environment:

conda activate myenv

Activating an environment

these steps need to be executed to activate an environment

1. initialize bash shell

conda init bash

2. restart shell

source ~/.bashrc

3. activate environment:

conda activate myenv

Exporting environment to custom Kernel image

First, activate your virtual environment *previous step* and install ipykernel:

pip install --user ipykernel

We need to manually add the kernel if we want to have the virtual environment in the Jupyter Notebook. That is why we need to add it by running this code.

python -m ipykernel install --user --name=myenv

when creating a new notebook, you can choose your new kernel image

If you have finished with the virtual environment and did not need it anymore, you could remove it using this command:

jupyter kernelspec uninstall myenv

Installing packages in user space

So that pip installs don't get lost after restart

pip install --user package_name