Conda environment in Jupyter

This will show how to create customized conda environment on Mac.

Create new conda env

This example shows how to create new environment called my_env while specify the python version you want.

$ conda create --name my_env python=3.7

install packages

Before you install any package, activate the new conda env just created.

$ conda activate my_env

Then install ipykernel and other packages using conda

(my_env) $ conda install ipykernel numpy

Or using pip

(my_env) $ pip install matplotlib

create kernel spec file

In order for Jupyter to find your kernel, run following command and choose the kernel name (i.e., my_env-jupyter)

(my_env) $ python -m ipykernel install --user --name my_env --display-name MyEnv-jupyter

launch Jupyter

Lauch Jupyter lab and you should see you new kernel my_env-jupyter from the kernel dropdown.

$ jupyter lab

Export Conda env

# only the main packages are exported
conda env export --from-history > environment.yml 

conda env create -f environment.yml # the env name is included in the .yml file
conda activate widget
python -m ipykernel install --user --name widget --display-name widget

jupyter labextension install @jupyter-widgets/jupyterlab-manager # enable widget