pyenv-win VS Poetry

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

You can manage dependencies in Python with the package manager pip, which comes pre-installed with Python. Pip allows you to install and uninstall Python packages, and it uses a requirements.txt file to keep track of which packages your project depends on. However, pip does not have robust dependency resolution features or isolate dependencies for different projects; this is where tools like pipenv and poetry come in. These tools create a virtual environment for each project, separating the project's dependencies from the system-wide Python environment and other projects.

Poetry provides packaging and dependency management for Python. If you haven't already, install poetry via pip:

Poetry

The Semantify repository provides an example Astro.js project. Ensure you have poetry installed, then build the project from the root of the repository:

Has anyone else been paying attention to how hilariously hard it is to package PyTorch in poetry?

https://github.com/python-poetry/poetry/issues/6409

Based on this comment 5 days ago[0], it's working? I'm not sure didn't dig in too far but based on that comment it seems fair to say that it's not fully Poetry's fault because torch removed hashes (which poetry needs to be effective) for a while only recently adding it back in.

Not sure where I would stand if I fully investigated it tho.

[0] https://github.com/python-poetry/poetry/issues/6409#issuecom...

We will be running this project in Python 3.10 on Mac/Linux, and we will use Poetry to manage our dependencies. Later, we will bundle our app into a container using docker for deployment.

Here are the two main packaging issues I run into, specifically when using Poetry:

1) Lack of support for building extension modules (as mentioned by the article). There is a workaround using an undocumented feature [0], which I've tried, but ultimately decided it was not the right approach. I still use Poetry, but build the extension as a separate step in CI, rather than kludging it into Poetry.

2) Lack of support for offline installs [1], e.g. being able to download the dependencies, copy them to another machine, and perform the install from the downloaded dependencies (similar to using "pip --no-index --find-links=."). Again, you can work around this (by using "poetry export --with-credentials" and "pip download" for fetching the dependencies, then firing up pypiserver [2] to run a local PyPI server on the offline machine), but ideally this would all be a first class feature of Poetry, similar to how it is in pip.

I don't have the capacity to create Pull Requests for addressing these issues with Poetry, and I'm very grateful for the maintainers and those who do contribute. Instead, on the linked issues I share my notes on the matter, in the hope that it may at least help others and potentially get us closer to a solution.

Regardless, I'm sticking with Poetry for now. Though to be fair, the only other Python packaging tools I've used extensively are Pipenv and pip/setuptools. It's time consuming to thoroughly try out these other packaging tools, and is generally lower priority than developing features/fixing bugs, so it's helpful to read about the author's experience with these other tools, such as PDM and Hatch.

[0] https://github.com/python-poetry/poetry/issues/2740

[1] https://github.com/python-poetry/poetry/issues/2184

[2] https://pypi.org/project/pypiserver/

We believe that poetry is currently the best tool for this purpose, besides of being the most popular one at the moment. This is why we will use poetry to manage the dependencies of our project throughout this series of posts. Poetry allows you to declare the libraries your project depends on, and it will manage (install/update) them for you. Poetry also allows you to package your project into a distributable format and publish it to a repository, such as PyPI. We strongly recommend you to learn more about this tool by reading the official documentation.

I started using poetry. The problem is poetry will not install if there is dependency conflict and there is no way to ignore: github