WinPython
pyflow
WinPython | pyflow | |
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41 | 12 | |
1,717 | 1,306 | |
1.3% | - | |
8.5 | 0.0 | |
3 days ago | about 1 year ago | |
Python | Rust | |
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.
WinPython
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One path to connecting a Python script to a COM application on Windows
STEP 1: Python on Windows What to install Download and install WinPython from https://winpython.github.io. I researched Python on Windows and in very short order understood that WinPython is the way to go. While it’s stated audience is scientists, data scientists and education, it fully serves the needs of personal projects. Also, it is available as a portable distribution with no requirement to register with Windows. This checked all the boxes.
- WinPython
- WinPython: Run Python, Spyder with SciPy on Any Windows PC
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Pip 23.1 Released - Massive improvement to backtracking
Feel free to share the resolver you wrote and we can test it on real world scenarios that are very difficult, here's a fun one that I remember: https://github.com/winpython/winpython/blob/master/Qt5_requirements64.txt
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IT does not allow me to have a Python environment on my computer.
WinPython maybe? https://winpython.github.io/. Its a local python installation.
- Run .py from a USB on a PC without installing phyton, possible?
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qBitTorrent search plugins - portable python runtime ?
how can i use the portable version of winpython from https://winpython.github.io to configure into qbittorrent to detect the runtime pre-requisites so that my portable qbittorent search can work? thx in advanced. #portablepython
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What you guys use to process data? Excel? r? python?
You equally are barred from e.g., WinPython which can work without an installation into the OS, too? Then - mechanically speaking - it wouldn't matter that the USB ports are permanently plastered with some polymer.
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Jupyterlab Desktop
Thank for answering. I understand that the interpreter situation can be annoying. There is WinPython [0] to circumvent that to some degree. I feel like if I don’t do it the „VSCode and py-file“ way, it’ll be more and more difficult to keep everything together when teaching about modularity and putting functions in helper scripts, putting tests in other directories and such. I think it’s just because I got used to using VSCode and not Notebooks although I’ve used them for a while.
[0] https://winpython.github.io
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How to learn Python without installation
One option would be to use a portable Python runtime. Like this one: https://winpython.github.io/
pyflow
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Uv: Python Packaging in Rust
Very cool! Of note, I made something along these lines a few years ago, although with a slightly broader scope to also include managing and installing python versions. I abandoned it due to lack of free time, and edge cases breaking things. The major challenge is that Python packages that aren't wheels can do surprising things due to setup.py running arbitrary code. (https://github.com/David-OConnor/pyflow)
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Incompatible Child Dependencies -- how are they resolved?
Pyflow
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Freezing Requirements with Pip-Tools
Pyflow takes care of the use when you need pyenv to isolate different python versions, pipx to isolate some global python-based tools, and isolated, reproducible builds per project with on tool. I highly recommend people to give it go.
https://github.com/David-OConnor/pyflow#a-thoroughly-biased-...
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Empty npm package '-' has over 700,000 downloads
Pyflow is a similar implementation of PEP582. NGL I wonder if it's better because of how good Rust stuff is. Probably a lot faster. Looks like you can install it via Pypi. I should've tested it before moving to PDM. Though it seems dev is a bit slow. Hmmm.
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pip and cargo are not the same
I’m personally complaining that pip is so much behind cargo. I have some hope with Pyflow though.
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XKCD | Python Environment
I literally stumbled into this issue again today. Has anyone leveraged Pyflow before? It looks pretty slick for keeping things organized. I don't do heavy dev work, just need something to keep things generally tidy. Was curious if anyone had used it and their opinion on it.
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Moving from pipenv to poetry or PDM
PDM is pretty new so it’s not entirely clear how it’ll play out but if you’re interested in PEP 582 then it’s really that or pyflow.
- Python: Please stop screwing over Linux distros
- Pyflow: An Alternative to Poetry and Pyenv
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Cooperative Package Management for Python
It's a good safeguard, and it's going in the direction of the other initiatives to make python package management default behavior saner.
PEP 852 is the another one to follow up: https://www.python.org/dev/peps/pep-0582/
It basically uses the concept of node_modules, making python interpreters local any local __pypackages__ directory. There are 2 differences though:
- unlike JS, python can only have one version of one lib
- but since having several versions of python often matters, you may have several __pypackages__/X.Y sub dirs to catter to each of them
It does also force you to use "-m" to use commands, which is the best practice anyway. I hope it will make jupyter fix "-m" on windows for them because that's a blocker for beginners.
If you are not already using "-m", start now. It solves a lot of different problems with running python cli programs.
E.G: instead of running "black" or "pylint", do "python -m black" or "python -m pylint". Or course you may want to chose a specific version of python, so "python3.8 -m black" for unix, or "py -3.8 -m black" on windows.
To test out __pypackages__, give a try to the pdm project: https://github.com/pdm-project/pdm
At last, some other tools that I wish people knew more about that solves packaging issues:
- pyflow (https://github.com/David-OConnor/pyflow): it's a package manager like poetry, but it also install whatever python you want like pyenv. Except it provides the binary, no need to compile anything. It's a young project, but I wish it succeeds because it's really a great concept.
- shiv (shiv.readthedocs.io/): it leverage the concept of zipapp, meaning the ability that python has to execute python inside a zip file. It's a successor to pex. Basically it lets you bundle your code + all deps from virtualenv inside a zip, like a Java .war file. You can then run the resulting zip, a .pyz file, like if it was a regular .py file. It will unzip on the first run automatically. It makes deployment almost as easy as with golang.
- nuitka (shiv.readthedocs.io/): take your code and all dependancies, turn them into C, and compiles it. Although it does require a bit of setup, since it needs headers and a compiler, it results reliably in a standalone compiled executable that will run on the same architecture with no need for anything else. Also it will speed up your Python program, up to 4 times.
What are some alternatives?
PyWin32 - python for windows extensions
Poetry - Python packaging and dependency management made easy
PythonNet - Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET developers.
PDM - A modern Python package and dependency manager supporting the latest PEP standards
PyInstaller - Freeze (package) Python programs into stand-alone executables
dephell - :package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump version.
pythonlibs - A Python wrapper for the extremely fast Blosc compression library
pants - The Pants Build System
pyxll-utils
Nuitka - Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
python-shell - Run Python scripts from Node.js with simple (but efficient) inter-process communication through stdio
g-sorcery - Framework for automated ebuild generators