andfanilo/jupyter_things.md

## jupyter_things.md

      
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              jupyter_things.md
            
          
    Jupyter kernels for Jupyterhub

Ref
You can use your own conda environments within Jupyterhub as a Kernel. Make sure the library "ipykernel" is installed in your environment.
If not,  you will have to install it before you proceed :  conda install ipykernel
# Activate your environment 
conda activate yourEnvName

# Add Kernel 
python -m ipykernel install --user --name yourEnvName --display-name "Python (yourEnvName)"
Note: This Kernel will be visible on jupyterhub only for your own user
To list kernels : jupyter kernelspec list
If you want to uninstall a kernel from jupyterhub : jupyter kernelspec remove yourEnvName
Note : Here you are only installing your environment from Jupyterhub. You are not removing you actual enviroment from conda.
Configure Jupyter through file

Ref
jupyter lab --generate-config
vi .jupyter/jupyter_notebook_config.py
Auto reload

%load_ext autoreload
%autoreload 2

If too lazy to create setup.py to load src

import sys
from pathlib import Path
sys.path.append(str(Path("../src").resolve()))

from data import test

import warnings
warnings.filterwarnings('ignore')
Configure Pandas display rows/columns

pd.options.display.max_rows = None
pd.options.display.max_columns = None