Based on our record, Python Package Index seems to be a lot more popular than pikaur. While we know about 83 links to Python Package Index, we've tracked only 4 mentions of pikaur. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
# Check if Python can connect to pypi.org Python -c "import urllib.request; urllib.request.urlopen('https://pypi.org')" # Test where Python is looking for certificates Python -c "import ssl; print(ssl.get_default_verify_paths())" # Check pip configuration Pip config debug. - Source: dev.to / about 1 month ago
But let me back up and start from the perspective of a total Python beginner, as that is who this post is intended for. In Python, there are a lot of built-in libraries available to you via the Python Standard Library. This includes packages like datetime which allows you to manipulate dates and times, or like smtplib which allows you to send emails, or like argparse which helps aid development of command line... - Source: dev.to / about 2 months ago
Virtual Environments are isolated Python environments that have their own site-packages. Basically, it means that each virtual environment has its own set of dependencies to third-party packages usually installed from PyPI. - Source: dev.to / 3 months ago
Where can I find packages available for me to use in my project? At https://pypi.org/ of course! - Source: dev.to / 3 months ago
To upload your package to PyPI, you need to create an account on PyPI. - Source: dev.to / 4 months ago
Have a look here. Did you not search for the answer? That's part of the Arch(based) ethos. We tend to like to learn by reading whatever is required. :). Source: about 2 years ago
I was also looking for something nicer for Arch, but haven't found anything as nice as Nala. For now, I switched to pikaur, which at least displays updates in a much clearer way. Source: almost 3 years ago
Nice, but this definately needs a dependency resolver, otherwise it can only install a fraction of the available AUR packages. Since you're already using python, you may adapt your whole code on top a another python-based AUR helper like pikaur. You maybe also could take at the dep resolver of my ABS project. It's python, too, maybe not as clean as pikaur's code but simpler and not too integrated. Source: over 3 years ago
I've been using pikaur ever since pacaur became abandonware and I'm very happy with it, can't recommend it enough. Sure, it's not implemented in Rust or Go so it's certainly not as cool as yay or paru but that doesn't really matter much to me, being an end user. I don't really care as long as it does its job, as advertised. Source: about 4 years ago
pip - The PyPA recommended tool for installing Python packages.
Yay - Yay is an AUR helper written in go, based on the design of yaourt, apacman and pacaur.
Conda - Binary package manager with support for environments.
paru - An AUR helper written in Rust and based on the design of yay. It aims to be your standard pacman wrapping AUR helper with minimal interaction.
Python Poetry - Python packaging and dependency manager.
Trizen - Trizen AUR Package Manager: A lightweight wrapper for AUR.