pyenv-win
pyenv
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pyenv-win | pyenv | |
---|---|---|
37 | 260 | |
3,977 | 36,626 | |
7.3% | 2.9% | |
6.1 | 8.9 | |
11 days ago | 13 days ago | |
VBScript | Roff | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pyenv-win
- Windows 上利用 VBScript 取得 junction point 的真實路徑
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Managing python projects like a pro!
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.
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My PATH got messed up and not sure how to fix it
Looks like it’s an open issue with pyenv-win https://github.com/pyenv-win/pyenv-win/issues/469
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Dev Stuff Distracting Me From Article Writing
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.
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Getting started with Python and Playwright
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.
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Script does...nothing
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/
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Installing Python via Windows Store
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
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How to Install AnkiBrain
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.
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Why not tell people to “simply” use pyenv, poetry or anaconda
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
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Is it safe to update Python to 3.8 for automatic1111? I have other things require 3.8
Or https://github.com/pyenv-win/pyenv-win
pyenv
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Setup and Use Pyenv in Python Applications
For more information visit: pyenv repository
- Pyenv – lets you easily switch between multiple versions of Python
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How to Create Virtual Environments in Python
Note that virtual environments assume you are using the same global version of Python. Often, this is not the case and additional tools like pyenv can be used alongside virtual environments when you need to switch between versions of Python itself on your local machine.
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How to debug Django inside a Docker container with VSCode
Python version manager pyenv
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Integrating GPT in Your Project: Create an API for Anything Using LangChain and FastAPI
First of all, install the Python virtual environment from these links: 1 and 2. I developed my GPT-based API in Python version 3.8.18. Pick any Python versions >= 3.7.
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Manage your Python Project End-to-End with PDM
Note: Most modern systems will probably have a system environment that meets this requirement, but if yours does not or if you prefer not to install anything in your system environment (even if it's just PDM) check out asdf or pyenv to help install and manage additional Python environments.
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Introducing Flama for Robust Machine Learning APIs
When dealing with software development, reproducibility is key. This is why we encourage you to use Python virtual environments to set up an isolated environment for your project. Virtual environments allow the isolation of dependencies, which plays a crucial role to avoid breaking compatibility between different projects. We cannot cover all the details about virtual environments in this post, but we encourage you to learn more about venv, pyenv or conda for a better understanding on how to create and manage virtual environments.
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Is KDE Desktop really snappier than XFCE these days as claimed?
For Python, with your use case I would avoid system packages, no matter the distro. It sounds like it would be worth setting up pyenv and working exclusively with virtual environments.
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Python Versions and Release Cycles
For OSX there is homebrew or pyenv (pyenv is another solution on Linux). As pyenv compiles from source it will require setting up XCode (the Apple IDE) tools to support this which can be pretty bulky. Windows users have chocolatey but the issue there is it works off the binaries. That means it won't have the latest security release available since those are source only. Conda is also another solution which can be picked up by Visual Studio Code as available versions of Python making development easier. In the end it might be best to consider using WSL on Windows for installing a Linux version and using that instead.
- Почему я программирую на Ruby
What are some alternatives?
pyenv-virtualenv - a pyenv plugin to manage virtualenv (a.k.a. python-virtualenv)
Poetry - Python packaging and dependency management made easy
mise - dev tools, env vars, task runner
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
Pipenv - Python Development Workflow for Humans.
hygeia - Python toolchain manager 🐍
miniforge - A conda-forge distribution.
flakehell - Flake8 wrapper to make it nice, legacy-friendly, configurable.
virtualenv - Virtual Python Environment builder
Visual Studio Code - Visual Studio Code
Pew - A tool to manage multiple virtual environments written in pure python