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Asked: 2024-09-24T16:26:13+05:30 In:

How can I revert my Python version from 3.7 to 3.6? What steps should I follow to successfully make this change?

I hope someone can help me out here! I’ve been working on a project that’s been running pretty smoothly on Python 3.7, but now I’ve stumbled across some older libraries that just won’t play nice with this version. I’ve done a bit of digging and learned that Python 3.6 should be compatible with what I need, but I am totally at a loss as to how to actually downgrade without messing up my setup.

I’ve heard horror stories about people breaking their Python environments when they try to change versions, and I’d really prefer to avoid that. So, I’m wondering if it’s possible to revert back to Python 3.6 smoothly. Like, do I need to uninstall 3.7 completely, or can I just install 3.6 alongside it? I’ve been using Anaconda, so if there’s a way to manage this within that, I’m all ears!

Also, if I go ahead and install Python 3.6, are there specific steps I should follow to make sure everything works seamlessly? I assume I’ll need to update environment variables or something, right? I don’t want to create a mess of my PATH settings either, which I’ve read can cause a lot of chaos.

And what about my existing projects? Will they still run fine once I switch back, or is it going to require more adjustments on my part? I’ve got a couple of projects that are pretty critical, and I don’t want to risk breaking them.

I’d really appreciate any step-by-step advice or tips from anyone who’s done this before. Literally, anything helps! Any warnings or things to watch out for would be great too, just to be on the safe side. Thanks so much!

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    2 Answers


    1. Downgrading Python with Anaconda

      It sounds like you’re in a bit of a pickle! But don’t worry, downgrading Python versions in Anaconda is pretty straightforward.

      1. First, Create a New Environment

      Instead of messing with your existing Python 3.7 setup, you can create a separate environment for Python 3.6. This way, your projects won’t clash!

          conda create -n py36 python=3.6

      This command will create a new environment called py36 with Python 3.6 installed.

      2. Activate Your New Environment

      Once the new environment is created, activate it:

          conda activate py36

      3. Install Your Old Libraries

      Now you can install the libraries you need that are compatible with Python 3.6:

          conda install your-library-name

      (Replace your-library-name with the actual library names!)

      4. Test Your Projects

      Before you dive into your big projects, try running your existing code in the new environment. This way, you can see if everything works without messing up your main setup.

      5. No Need to Uninstall!

      You don’t need to uninstall Python 3.7 at all! Anaconda handles multiple versions super well. Just keep using what you need.

      6. Environment Variables

      Since you’re using Anaconda, you don’t have to worry about updating environment variables or PATH settings. Anaconda takes care of that within its environments!

      7. Watch Out For:

      • Make sure to activate the right environment before running your projects.
      • If you have specific packages that might not work with Python 3.6, check their documentation first.

      8. Final Words

      You should be good to go! Just remember to activate your new environment whenever you need to work on those projects. Happy coding!



    2. To downgrade Python from version 3.7 to 3.6 using Anaconda, you can create a new environment specifically for your project that requires Python 3.6, which will help you avoid any issues with your existing setup. You do not need to uninstall Python 3.7; rather, you should simply create a new environment by using the command: conda create -n myenv python=3.6, where “myenv” is the name of your new environment. After that, activate your new environment using conda activate myenv. This way, you can keep your original environment intact and switch between them as needed. You won’t have to worry about modifying environment variables or PATH settings since Anaconda manages these within its environments.

      Once you’ve activated your new Python 3.6 environment, you can reinstall the libraries required for your project. Use pip install or conda install to set up your dependencies. As for your existing projects, they should remain functional in their own environment unless they specifically rely on features from Python 3.7. Just ensure that you’re working in the correct environment when you run your projects. It’s a good practice to recreate your project’s dependencies list in the new environment to avoid compatibility issues. Lastly, test your projects after the switch to catch any potential issues early on. This approach will significantly reduce the risk of introducing chaos into your development setup.


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