Based on our record, Python Poetry should be more popular than mypy. It has been mentiond 162 times since March 2021. 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.
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 / about 2 months 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 / 2 months 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 / 3 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 / 4 months ago
Learn more about poetry here . It’s a great tool. - Source: dev.to / 4 months ago
I've always admired many of Java's features, but let's not act like the reason for using Java for scripting is the pitfalls of Python. It's just because of an underlying preference for Java. 1. https://mypy-lang.org/. - Source: Hacker News / 6 months ago
I’m not here to tell people which languages they should love. But if you do find yourself writing production code in a dynamically typed language like Python, Ruby, or JavaScript, I would give serious consideration to opting into the type-checking tools that have become available in those ecosystems. In Python, consider requiring type hints and adding mypy checks to your CI to move your type safety bugs forward... - Source: dev.to / about 1 year ago
Mypy is "an optional static type checker for Python that aims to combine the benefits of dynamic (or "duck") typing and static typing". As Python is dynamically typed, Mypy adds an extra layer of safety by checking types at compile time (based on type annotations conforming to PEP 484), catching potential errors before runtime. - Source: dev.to / over 1 year ago
Mypy stands as an essential static type-checking tool. Its primary function is to verify the correctness of types in your codebase. However, manually annotating types in legacy code can be laborious and time-consuming. - Source: dev.to / over 1 year ago
Lua is a great language for embedding, but one thing I wish it had was some form of optional type annotations that could be checked by a linter. Something like mypy for Lua would be super-useful. Source: about 2 years ago
Conda - Binary package manager with support for environments.
PyLint - Pylint is a Python source code analyzer which looks for programming errors.
pip - The PyPA recommended tool for installing Python packages.
flake8 - A wrapper around Python tools to check the style and quality of Python code.
pipenv - Python Development Workflow for Humans. Contribute to pypa/pipenv development by creating an account on GitHub.
PyFlakes - A simple program which checks Python source files for errors.