Conda cheat sheet

conda.md

Conda cheat sheet

Setup a conda environment

  conda create --name ds python=3.11 numpy pandas scikit-learn matplotlib seaborn jupyter plotly ipykernel pyodbc

Activate the environment

activate ds

Install a package

conda install plotly

Update a package

conda update pandas

Remove a package

conda remove pandas

List all packages and versions installed in active environment

conda list

Get a list of all my environments

conda env list

Deactivate the current environment

deactivate

Remove an environment

conda remove --name myenv --all

Environment YAML file

Example:

name: my_env
channels:
  - defaults
  - anaconda
  - conda-forge
dependencies:
  - ipykernel
  - jupyter_contrib_nbextensions
  - matplotlib
  - mlflow
  - notebook
  - numpy
  - pandas
  - pyarrow
  - python=3.6
  - scikit-learn
  - seaborn
  - pip:
    - mlflow
    - cloudpickle
    - azureml-mlflow
    - azureml-defaults
    - azureml-dataprep[pandas,fuse]
    - shap
    - xgboost==1.0.0

Create environment from a YAML file

conda env create --file environment.yml

Export environment to a YAML file

To export the active environment: conda env export > environment.yml

To export an environment called my_env: conda env export --name my_env > environment.yml