msvc-wine
pyenv
msvc-wine | pyenv | |
---|---|---|
6 | 261 | |
569 | 36,942 | |
- | 1.8% | |
8.3 | 8.9 | |
24 days ago | 8 days ago | |
Shell | Roff | |
GNU General Public License v3.0 or later | 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.
msvc-wine
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How to deal with MSVC in DevOps
Okay, I am trying it, but it does not exactly work out of the box. Do you remember how you got a hand on the MSVC libraries? I use https://github.com/mstorsjo/msvc-wine to download the MSVC toolchain using python, and then I simply wget this file https://raw.githubusercontent.com/llvm/llvm-project/main/llvm/cmake/platforms/WinMsvc.cmake, and call CMake like in the example the file has as a comment in the first few lines. I installed clang-tools-15 and lld-15 using apt. Does this sound somehow correct? I set all the paths correctly and I get a CMake Error "include could not find requested file: [...] //ClangClCMakeCompileRules.cmake", the error occurs while CMake is testing the C compiler if it works.
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Wine 8.0
That's a nice lead! - I'll try looking into that more. If you have or remember some more details - please share! Thanks!
(One of my use cases is https://github.com/mstorsjo/msvc-wine - and invocation of `cl.exe` or `link.exe` taking 250ms at each is not going to be great (then again `cl.exe` can be made to input several .cpp/.c files, but it becomes more awkward to express that at the build level).
- Cross compiling pybind11 module with Mingw-gcc for Windows from Linux
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Visual Studio 2022 17.4 is available!
you can run the C++ compiler via wine: https://github.com/mstorsjo/msvc-wine
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Wine 6.15 Released
I guess I should try installing MSVC again one of these days. Maybe it's finally possible to setup a "real" Windows cross compilation build environment without msvc-wine.
pyenv
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Install Asdf: One Runtime Manager to Rule All Dev Environments
If you have a requirement for multiple, specific Python versions, why not just use pyenv?
https://github.com/pyenv/pyenv
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Setup and Use Pyenv in Python Applications
For more information visit: pyenv repository
- Pyenv โ 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.
What are some alternatives?
infra - Infrastructure to set up the public Compiler Explorer instances and compilers
Poetry - Python packaging and dependency management made easy
Navidrome Music Server - ๐งโ๏ธ Modern Music Server and Streamer compatible with Subsonic/Airsonic
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
NCCABoilerplate - A set of Boilerplate projects for most of the work we do
Pipenv - Python Development Workflow for Humans.
box64 - Box64 - Linux Userspace x86_64 Emulator with a twist, targeted at ARM64 Linux devices
miniforge - A conda-forge distribution.
docker-msvc-cpp - Dockerized Visual C++ environment with wine
virtualenv - Virtual Python Environment builder
compiler-explorer - Run compilers interactively from your web browser and interact with the assembly
Pew - A tool to manage multiple virtual environments written in pure python