WinPython
pipx
WinPython | pipx | |
---|---|---|
41 | 38 | |
1,717 | 8,913 | |
1.3% | 3.0% | |
8.5 | 9.3 | |
3 days ago | about 6 hours ago | |
Python | Python | |
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
-
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
-
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
-
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?
-
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
-
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.
-
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
-
How to learn Python without installation
One option would be to use a portable Python runtime. Like this one: https://winpython.github.io/
pipx
-
Keep your AWS CLI config fresh with Cog
Use pipx to install Cog and my aws-sso-config-builder tool in the same environment:
- pipx
-
Implementing Quality Checks In Your Git Workflow With Hooks and pre-commit
Given how useful pre-commit is across projects I generally recommend installing via pip install --user, making it part of a tooling virtual environment, or using pipx:
-
pipx VS instld - a user suggested alternative
2 projects | 9 Dec 2023
- Pipx – Install and Run Python Applications in Isolated Environments
-
Packaging a self contained CLI application for any environment?
I would recommend going with PipX. You toss in a setup.py file, put your project on github, and then anyone on any OS can pipx install your project. It's a glorious thing. The only thing they need is 1) some supported version of Python installed, 2) pipx installed. They can even get updates by calling pipx upgrade.
-
Some confusion with system version and pyenv
See https://github.com/pypa/pipx/issues/278
-
List of software package management systems
Good overview. There are quite a few on there I was not aware of. That said, I am not sure the organizational schema makes a tone of sense. I would assume most users that come across this would be looking for a package manager for a specific platform and then weighing the options of binary/source/etc., instead of the other way around.
Also, pipx (https://github.com/pypa/pipx) would be a good addition to the list. I'd add it but I'm not sure where it would go. Maybe every section? It's cross platform and handles both binary and source based app distributions.
-
After using Python for over 2 years I am still really confused about all of the installation stuff and virtual environments
Pip is pretty simple and useful for me - you have your own environment for every script/program, requirements.txt is simple to understand too... It's kinda good solution for regular users... For more complex projects we have Poetry, PipX, that was inspired by NPM(x), I think...
-
Apple Unveils MacBook Pro Featuring M2 Pro and M2 Max
What benefit would joining your cult bestow upon me that brew does not already?
My brew list is intentionally very short and my faffing about desire is limited.
Generally I use brew to pull in asdf (https://github.com/asdf-vm/asdf) to install programming languages/tooling, it works flawlessly.
I use Pipx (https://github.com/pypa/pipx) to install python thingies (such as yt-dlp) as a cli. Go and Rust handle binaries in their languages beautifully and without issues.
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.
opstrat - Option visualization python package
PyInstaller - Freeze (package) Python programs into stand-alone executables
Lean and Mean Docker containers - Slim(toolkit): Don't change anything in your container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source)
pythonlibs - A Python wrapper for the extremely fast Blosc compression library
dust - A more intuitive version of du in rust
pyxll-utils
private-pypi - private pypi server
python-shell - Run Python scripts from Node.js with simple (but efficient) inter-process communication through stdio
Pyjion