Based on our record, Python Package Index seems to be a lot more popular than pipenv. While we know about 83 links to Python Package Index, we've tracked only 6 mentions of pipenv. 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.
https://github.com/pypa/pipenv Pipenv was last updated 10 hours ago. Looks like it's still an active project to me. - Source: Hacker News / 7 months ago
Pipenv solves this by having both kinds of requirement files: Pipfile lists package names and known constraints on which versions can be used, while Pipfile.lock gives specific package versions with hashes. Theoretically the Pipfile (and its lockfile) format were supposed to be a standard that many different tools could use, but I haven't seen it get adopted much outside of pipenv itself, so I'm not sure if it's... Source: about 2 years ago
Alternatively, you can look into Pipenv, which has a lot more tools to develop secure applications with. - Source: dev.to / over 2 years ago
I’m partial to pipenv but it does depend on pyenv (which works on Windows albeit via WSL, no?). Source: about 3 years ago
I think I went through the same progression — thinking pipenv was the official solution before deciding it isn’t. To add to the confusion, I just realized that pipenv [1] is currently owned by the Python Packaging Authority (PyPA) which also owns the official pip [2] and virtualenv [3]. [1]: https://github.com/pypa/pipenv [2]: https://github.com/pypa/pip [3]: https://github.com/pypa/virtualenv. - Source: Hacker News / about 4 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 / 2 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
Python Poetry - Python packaging and dependency manager.
pip - The PyPA recommended tool for installing Python packages.
Conda - Binary package manager with support for environments.
envd - Machine learning development environment for data science and AI/ML engineering teams.
Lobe - Visual tool for building custom deep learning models
Anaconda - Anaconda is the leading open data science platform powered by Python.