Python Setup

By Smitty Weygant

- One minute read - 181 words

There are many ways to approach Python environment and version management. Ultimately, the ideal solution allows for any project to run a different version of Python and package a unique set of dependent libraries.

This article from the team at Daytona provides a great overview and comparison of the various environment management tools.

The Ultimate Guide to Managing Python Environments

I have chosen to use pipenv but have some older projects that use pyenv.

    # Install pipenv
    pip install pipenv

    # Create environment and install dependencies
    pipenv install

    # Activate environment
    pipenv shell

    # Install specific package
    pipenv install requests

    # Install development dependencies
    pipenv install pytest --dev

    # Generate requirements.txt
    pipenv lock -r > requirements.txt

    # Deactivate environment
    exit

I have a few projects where I’ve used pyenv

    # Install pyenv (macOS/Linux)
    brew install pyenv

    # Install pyenv-virtualenv plugin
    git clone https://github.com/pyenv/pyenv-virtualenv.git \ 
    $(pyenv root)/plugins/pyenv-virtualenv

    # Install Python version
    pyenv install 3.8.0

    # Create environment
    pyenv virtualenv 3.8.0 myenv

    # Activate environment
    pyenv activate myenv

    # Install packages
    pip install package_name

    # Deactivate environment
    pyenv deactivate

Anaconda

    curl -O https://repo.anaconda.com/archive/Anaconda3-2024.10-1-MacOSX-arm64.sh