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How Do I Have Multiple Versions of Python?

Published in Python Management 3 mins read

The easiest and most recommended way to have multiple versions of Python on your system is to use a version management tool like pyenv. pyenv allows you to install and switch between different Python versions seamlessly.

Here's a breakdown of why and how to use pyenv:

Why Use a Python Version Manager?

  • Project Isolation: Different projects may require different Python versions. pyenv lets you specify a specific version for each project, preventing conflicts.
  • Testing: You can easily test your code against multiple Python versions to ensure compatibility.
  • Staying Current: Keep up-to-date with the latest Python releases while maintaining compatibility with older projects.
  • Cleanliness: Avoid modifying the system Python installation, which could break other applications.

How to Use pyenv

  1. Installation:

    The installation process varies depending on your operating system. Here's a general overview, but refer to the official pyenv documentation for the most up-to-date instructions (https://github.com/pyenv/pyenv).

    • macOS (using Homebrew):

      brew update
      brew install pyenv
    • Linux: Refer to the pyenv wiki for installation instructions specific to your distribution (https://github.com/pyenv/pyenv/wiki). Often involves using git clone to download the pyenv repository and then configuring your shell.

  2. Configuration:

    After installation, you need to configure your shell (e.g., Bash, Zsh) to use pyenv. The exact steps will be provided after the installation, but typically involve adding the following to your shell's configuration file (e.g., .bashrc, .zshrc):

    export PYENV_ROOT="$HOME/.pyenv"
    export PATH="$PYENV_ROOT/bin:$PATH"
    eval "$(pyenv init --path)"

    Important: Restart your shell or source the configuration file (e.g., source ~/.zshrc) for the changes to take effect.

  3. Installing Python Versions:

    Use the pyenv install command to install the desired Python versions:

    pyenv install 3.9.18
    pyenv install 3.10.13
    pyenv install 3.11.6

    List available versions with pyenv install --list.

  4. Setting the Python Version:

    You can set the Python version globally, locally (for a specific project), or for the current shell session.

    • Global (System-Wide):

      pyenv global 3.11.6
    • Local (Project-Specific):
      Navigate to your project directory:

      cd /path/to/your/project
      pyenv local 3.9.18

      This creates a .python-version file in your project directory, which pyenv will automatically read.

    • Shell (Current Session):

      pyenv shell 3.10.13

      This sets the Python version for the current shell session only.

  5. Verifying the Python Version:

    Use the python --version or python3 --version command to verify the currently active Python version. pyenv versions will show all installed versions, and an asterisk will mark the active version. pyenv version will display the currently active version.

Example Scenario:

Let's say you have two projects:

  • Project A needs Python 3.9.
  • Project B needs Python 3.11.
  1. Install Python 3.9 and 3.11 using pyenv install.
  2. Navigate to the directory of Project A (cd /path/to/project_a) and run pyenv local 3.9.
  3. Navigate to the directory of Project B (cd /path/to/project_b) and run pyenv local 3.11.

Now, when you are in Project A's directory, python --version will report Python 3.9. In Project B's directory, it will report Python 3.11. Outside of these directories, the global Python version (if set) or the system Python will be used.

Alternatives to pyenv:

While pyenv is highly recommended, other tools can achieve similar results:

  • conda: A package, dependency, and environment management system. Often used in data science and scientific computing. More heavy-weight than pyenv.
  • venv (virtualenv): Python's built-in virtual environment manager. Useful for isolating project dependencies but doesn't manage Python versions themselves. You can combine pyenv with venv.

In summary, using pyenv is the recommended way to manage multiple Python versions on your system, offering flexibility and isolation for different projects.