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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
# 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
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
Conda - Binary package manager with support for environments.
Learn Python The Hard Way - One of the best guides to learn Python & coding in general
Python Poetry - Python packaging and dependency manager.