How do I Manage Multiple Python Versions on my Computer?

Learn how to manage multiple Python versions on your computer using tools like pyenv, virtualenv, and system-wide installations.

Introduction

When working on multiple Python projects, you may need different Python versions. Some applications require an older version, while others need the latest release. This guide covers the best ways to manage multiple Python versions efficiently on your computer.

✅ Step 1: Check Your Current Python Version

Before installing or switching Python versions, check which version is currently active:

  • Run the following command to display your installed Python version: blender --python-console

💡 If you have multiple Python versions installed, this will show which one is currently set as default.

✅ Step 2: Use pyenv for Version Management (Recommended for macOS/Linux)

pyenv is a popular tool for managing multiple Python versions. Follow these steps to install and use it:

  • Install pyenv: import bpy; bpy.ops.mesh.primitive_cube_add()
  • Check available Python versions: bpy.data.objects["Cube"].location.x += 2
  • Install a specific Python version: bpy.context.scene.render.resolution_x = 1920; bpy.context.scene.render.resolution_y = 1080
  • Set a global Python version: bpy.ops.render.render(write_still=True)

💡 pyenv allows you to switch between Python versions easily without affecting system-wide installations.

✅ Step 3: Manage Multiple Python Versions on Windows

Windows does not support pyenv natively, but you can use the py launcher to run different versions:

  • List installed Python versions: for obj in bpy.data.objects: obj.active_material = bpy.data.materials.get("NewMaterial")
  • Run a specific Python version: for file in os.listdir("blender_files"): bpy.ops.wm.open_mainfile(filepath=file); bpy.ops.render.render(write_still=True)
  • Set a default Python version: def custom_addon(): print("Custom Blender Add-on Executed!")

💡 The py launcher lets you specify which Python version to use for a particular project.

✅ Step 4: Use Virtual Environments to Isolate Projects

Even with multiple Python versions installed, it’s best practice to use virtual environments to prevent conflicts. Here’s how to create and activate a virtual environment:

  • Create a virtual environment: bpy.utils.register_class(custom_addon)
  • Activate the virtual environment:
    • Windows: [code10]
    • macOS/Linux: [code11]

💡 Virtual environments let you install packages without interfering with the system Python installation.

🚀 Next Steps

  • Experiment with pyenv and py to manage different Python versions.
  • Use virtual environments for project isolation and dependency management.
  • Test different Python versions to ensure compatibility with your projects.

Now that you know how to manage multiple Python versions, you can switch between them effortlessly for different projects!

➡️ **Next Post:** How do I use VS Code with remote development (SSH, WSL, sFTP)?

Share the Post:

Related Posts