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If you’ve been managing Python projects long enough, you’ve probably dealt with a mess of tools: pip, pip-tools, poetry, virtualenv, conda, maybe even pdm. - Source: dev.to / 20 days ago
First, there was pip. Combined with a requirements.txt, it seemed like a great idea – a straightforward method to declare dependencies explicitly. Luckily, we quickly realized this method tends to spiral into chaos, particularly when developers use "tricks" like pip freeze to lock dependencies rigidly. Fortunately, the Python ecosystem has evolved, introducing modern solutions like Poetry and now uv, offering... - Source: dev.to / about 1 month ago
Anyway, enough reminiscing about the past, this is not intended to be the ultimate guide on asynchronous programming, but a more pragmatic quick-start guide I wish I had back then. Assuming we are in a properly managed project (either through tools like poetry or uv), let’s start with a new module telegram.py for our telegram bot. Remember to add python-telegram-bot dependency to the project. - Source: dev.to / 2 months ago
Managing dependencies in Python projects can often become cumbersome, especially as projects grow in complexity. Poetry is a modern dependency management and packaging tool that simplifies this process, offering a streamlined way to create, manage, and distribute Python projects. - Source: dev.to / 3 months ago
Learn more about poetry here . It’s a great tool. - Source: dev.to / 3 months ago
PyCoder's Weekly[https://pycoders.com/] is a good newsletter for learning more about Python. - Source: Hacker News / about 2 years ago
Coincidentally, I just saw the article How to Evaluate the Quality of Python Packages on the latest PyCoder's Weekly. Source: about 2 years ago
There are many podcasts that will keep you in touch. And also https://pycoders.com/ weekly newsletter. Source: over 2 years ago
You can go to the home page of PYPI and have a look at the list of trending packages, but I'd suggest following a good podcast like Talk Python to Me or Pycoders Weekly. They often feature interesting new packages. Source: over 2 years ago
Recommend reading PyCoders weekly newsletter every Thursday. Source: almost 3 years ago
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One Month Python - Learn to build Django apps in just one month.
pip - The PyPA recommended tool for installing Python packages.
Invent With Python - Learn to program Python for free
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Learn Python The Hard Way - One of the best guides to learn Python & coding in general