Jupyter Notebook's terminal command not using correct conda environment

Question

I have 2 conda environments installed:
- env1: base environment where jupyter-notebook is installed and started from
- env2: project environment with ipykernel installed I manually added kernelspecs for the 2 environments following this guide.

Everything works fine. sys.executable in 2 kernels show separate, correct paths. But for terminal commands (i.e. !which python), no matter which kernel I'm running in the environment defaults to env1.

Is there any way to have the notebook automatically change this to the kernel's environment?

P.S. I already tried installing nb_conda, nb_conda_kernels

I'm not sure if I understand the question correctly, but maybe this Q&A helps? stackoverflow.com/questions/58068818/… — lumbric
– lumbric, Commented Sep 23, 2019 at 19:57

emmet02 · Accepted Answer · 2018-11-26 13:52:59Z

1

install nb_conda and nb_conda_kernels into your base.

conda install nb_conda nb_conda_kernels -n env1

This should give you the ability to change kernel in jupyter, and use the env2 kernel.

answered Nov 26, 2018 at 13:52

emmet02

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3 Comments

Tin Ng Over a year ago

This does not work. In fact I already had these 2 packages from before.

emmet02 Over a year ago

Can you try listing kernelspecs? jupyter kernelspec list

Tin Ng Over a year ago

python3 /home/ec2-user/miniconda3/envs/airflow3/lib/python3.6/site-p ackages/ipykernel/resources | airflow3 /home/ec2-user/.local/share/jupyter/kernels/airflow3 | data_interface /home/ec2-user/.local/share/jupyter/kernels/data_interface

J R · Accepted Answer · 2022-12-01 14:22:28Z

0

I would install jupyter notebook in the base env (not env1, not env2) Then install nb_conda_kernels in the base

in env1 and env2, install ipykernel in env1 and env2, run this:

python -m ipykernel install --user --name env1 --display-name "env1 env"

Check this out for more info: New Conda environment with latest Python Version for Jupyter Notebook

answered Dec 1, 2022 at 14:22

J R

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