Static Type Checking
Mypy provides static type checking for Python code, allowing developers to detect type errors during development rather than at runtime.
Improved Code Quality
By catching type errors early, Mypy helps ensure code correctness and maintainability, leading to improved overall code quality.
Better Documentation
Mypy's type annotations serve as a form of documentation, making it easier for developers to understand the expected types of function parameters and return values.
Easy Integration
Mypy can be easily integrated with existing Python projects incrementally, allowing teams to adopt type checking gradually.
Support for Python 3 Typing
Mypy supports Python 3's type hinting syntax, making it a natural fit for modern Python codebases.
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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 / about 2 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 / 9 months 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 / about 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: over 1 year ago
Python is a dynamically typed language (unlike C or java which are statically typed) meaning that there's no enforcement on the type. This var ; type syntax is called Type Hints, and they are just that, merely hints. So they serve as a reminder to developers of what types of variables a function should receive and output, but they implement no real restrictions. So if you try to pass a string to collatz for... Source: almost 2 years ago
Mypy (https://mypy-lang.org/), the static type checker for python, so quite an important project in the python ecosystem. Source: almost 2 years ago
Google, Facebook and Microsoft have published their static type checkers for Python. The one I will cover here is mypy; it’s one of the most famous ones out there. - Source: dev.to / about 2 years ago
Then use http://mypy-lang.org/ to do actual type checking :). Source: about 2 years ago
One reason why many people enjoy statically typed languages, or in context of Python, using mypy, even if it isn't the complete solution. Source: about 2 years ago
Code quality control with flake8, Mypy and auto fixing with black (and many more). Source: about 2 years ago
This is being solved through mypy: http://mypy-lang.org/ A large majority of packages are still missing typing hints, but the ecosystem is moving in the right direction on that issue. - Source: Hacker News / over 2 years ago
Mypy type hints are referred to as "optional static typing" Http://mypy-lang.org/. Source: over 2 years ago
In the case of Dropbox, this was helped by them employing Guido van Rossum, creator of Python, for a while. You may not be aware that the Dropbox desktop application was written in Python and they use a lot of Python for the back-office work. Hence the development of Mypy. Source: over 2 years ago
You can write Python code in a statically typed way using type hints, check for type errors using mypy, and you can compile any Python using Nuitka. So, if you mix them both, you get statically typed, compiled Python code! - Source: dev.to / over 2 years ago
Personally, I'm partial to the PyO3+PyQt/PySide option because Qt's QWidget APIs are a very polished and mature way to build a portable "as native as feasible without writing a separate frontend for each platform" GUI with great quality-of-life things like QMainWindow::saveState, PyQt-compatible bindings for addons like Qt Advanced Docking System, and tooling like MyPy. (It also helps that, as a KDE user, QWidget... Source: over 2 years ago
If your code as a definite shape, a compiler can help you. Things like Haskell, Scala/Gleam, TypeScript, Python Typings with mypy, and Rust have really good compilers to get you “close” to correctness. Meaning, you’ll no longer have syntax errors when you run your code. - Source: dev.to / over 2 years ago
You might want to look at mypy if you want a static type checker for python. Source: over 2 years ago
If you’re an imperative or Object Oriented programmer in Python, this may look not just unpythonic, but super weird. We write functional code in Python much like we’d do it in JavaScript or ReScript; by using a Monadic interface provided by either the language (e.g. Promise in JavaScript or Result in ReScript), or a library (e.g. Folktale for Result in JavaScript). In Python, we’re using PyMonad. While... - Source: dev.to / over 2 years ago
It is assummed that readers are pretty familiar with Django and JavaScript as well as the typed extension of Python using mypy, typing built-in module, and PEP8. - Source: dev.to / almost 3 years ago
Nowadays it's good practice to use virtual environments and to annotate your code with types (mypy helps with that). I also recommend using pylint. Source: almost 3 years ago
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