Learn NumPy, Pandas, Matplotlib, Scikit Learn

How to use this notebook

So first you can create env based on environment.yml file and make prefix as env.

conda env create -f environment.yml --prefix ./.conda

Then you can activate the environment.

conda activate ./.conda

Then you can open the notebook.

jupyter notebook

Installing Other Libraries

You can install other libraries using pip or conda in the same environment.

conda install -c conda-forge matplotlib

pip install matplotlib

Re-export the environment

If you install any other libraries, you can re-export the environment using the following command.

conda env export | grep -v "^prefix: " > environment.yml