pyenv-win VS CPython

Run the below command in the powershell, if you find this blog post to be too old, please follow the steps in the official repository of pyenv-win.

Looks like it’s an open issue with pyenv-win https://github.com/pyenv-win/pyenv-win/issues/469

What made this weird was the inconsistency between *NIX and Windows systems. On Windows the Python Launcher is used. This allows you to switch between different Python versions which are registered in the Windows Registry via PEP514 logic. Unfortunately, one of the popular implementations, PyPy, didn't have great support for it. On *NIX systems pyenv made this easy, while on Windows pyenv-win exists but it's currently not able to pull the PyPy mirrors. I wanted a more simplistic way to integrate PyPy into Windows for easy Python Launcher integration. So I started to do something really crazy: write Powershell.

We then use pyenv which is a command line tool used to manage multiple versions of Python. This is useful if you are working on multiple projects that use different versions of Python. Check out the GitHub readme of the 'pyenv' project for more information on how to install it on your operating system. For windows check out pyenv-win or you can use venv Python's Built-in Virtual Environment.

I have tried my best to research this issue and have not come up with much. It is obvious that its a backend issue right? The guides that I used https://github.com/bmaltais/kohya_ss and https://github.com/pyenv-win/pyenv-win/

IMO I prefer pyenv. There is a pywinenv https://github.com/pyenv-win/pyenv-win. Lets you set up multiple python installs with less probability of screwing then up

The problem seemed to be that powershell won't run scripts by default. https://github.com/pyenv-win/pyenv-win/issues/289 This person had the same issue as me when installing pyenv. After fixing the execution policy the windows installer ran fine. However when I run anki it crashes after a few seconds.

I've had success using pyenv on Mac and Linux. If I had to use Windows, I'd probably try pyenv-win [0].

I have run into issues trying to use packages that were available for one platform but not another, due to native code, etc. Most of the time I could find a pure Python alternative, but not always. This can lead to using containers, which adds complexity, which is a drawback because one of the advantages of Python to me is the simplicity (assuming you have something like pyenv).

I've used Poetry in the past, but it added enough complexity/overhead that I probably won't again.

I've had some success putting a line in a README for an internal tool that other devs can use to pip install from a Git repo. Again, assuming you have pyenv or the like, starting from a clean venv and pip install from Git seems to be pretty straightforward.

[0] - https://github.com/pyenv-win/pyenv-win

Or https://github.com/pyenv-win/pyenv-win

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> It provides a meaningful performance improvement for at least one popular platform (realistically, on the order of 5%).

At first it will not provide a large boost, but it will set the foundations for larger gains in subsequent releases. They link a list of some proposed improvements already underway, with improvement estimates, at https://github.com/python/cpython/issues/115802

After that, with the basics of software engineering understood, I would move on to a wider use language, with a bigger ecosystem to employ, most likely Python. This would expose me to large system design / distributed systems and architectural challenges...

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