How to manage your envs in jupyter

common operations on management of jupyter envs

How to add an env in Jupyter

Step 1: install ipykernel in your envs

one way is to install ipykernel when you create a new env

conda create -n [your_env_name] python=\[python_version_you_want\] ipykernel

for example：

conda create -n test_env python=3.6 ipykernel

another way is to install ipykernel in existing env

source activate [your_env_name]
conda install -n [your_env_name] ipykernel

for example：

source activate existed_env
conda install -n existed_env ipykernel

Step 2: config your env in Jupyter kernel

source activate [your_env_name]
python -m ipykernel install --user --name [your_env_name] --display-name [display_name]

for example, if you want to config new_env to Jupyter kernel:

source activate new_env
python -m ipykernel install --user --name new_env --display-name "new_env"

How to Delete Env in Jupyter?

Step 1: check Jupyter kernel

jupyter kernelspec list

Step 2: delete the specific kernel

jupyter kernelspec uninstall [your_env_name]