Cloning conda environments

You can clone (duplicate, copy) environments, this is useful when you are experimenting with packages whereas everything else is working fine:

- Existing tensorflow_gpu
- Newly created tensorflow_cpu


$ conda create --name py37 --clone base

List your environments :

$ conda info --envs

# conda environments:

#

                         /Users/uki/.julia/conda/3

                         /Users/uki/.julia/packages/ORCA/uEiWT/deps

base                  *  /anaconda3

py2                      /anaconda3/envs/py2

py37                     /anaconda3/envs/py37

Change to the newly created one:

$ source activate py37
Register this environment with Jupyter Notebook

$ python3 -m ipykernel install --user --name py37 --display-name "Python 3.7 (py37)"

Installed kernelspec py37 in /Users/uki/Library/Jupyter/kernels/py37

$ cd /Users/uki/Library/Jupyter/kernels/py37

$ code kernel.json

{

"argv": [

"/anaconda3/bin/python3",

"-m",

"ipykernel_launcher",

"-f",

"{connection_file}"

],

"display_name": "Python 3.7 (py37)",

"language": "python"

}