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Install Miniconda on WSL2

Install Miniconda on WSL2

This recipe sets up a core Data Science environment in WSL2 using Miniconda as the base.

Steps

  1. We assume that you have a working WSL2 distribution

  2. Install Miniconda

    cd ~
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
chmod +x Miniconda3-latest-Linux-x86_64.sh
sh Miniconda3-latest-Linux-x86_64.sh
rm Miniconda3-latest-Linux-x86_64.sh

  3. Update packages

    conda update conda
conda update --all

  4. Create an environment with the version of python you want and necessary packages

    conda env create --name datasci --python=3.11
conda activate datasci
conda install pandas scikit-learn matplotlib jupyter jupyterlab sqlalchemy seaborn pip git ipykernel notebook
conda install -c conda-forge jupyter_contrib_nbextensions
conda update conda
conda update --all

  5. go to your working directory and export an environment.yml

    cd myproject
conda env export > environment.yml

  6. Setup a virtual Python kernel in the environment

    python -m ipykernel install --user --name=datasci

    To use that kernel, see Setting up virtual python kernel in environment

See also