Rope
mypy
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Rope | mypy | |
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22 | 112 | |
1,833 | 17,541 | |
1.3% | 1.4% | |
9.1 | 9.7 | |
17 days ago | about 8 hours ago | |
Python | Python | |
GNU Lesser General Public License v3.0 only | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Rope
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In neovim ,how to do refactoring python code?
Hi, maintainer of rope here. There are a number of different options to use rope in Vim/Neovim, we've documented them in this page https://github.com/python-rope/rope/wiki/Rope-in-Vim-or-Neovim
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Open Source Python libraries/projects that need contributions?
If you're looking for something with a bigger codebase, then the rope library in which pylsp-rope is based on is also welcoming of contributions.
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Completion and auto imports
I think rope is the standard for refactoring, and should provide autoimports soon, though pyright might also be good for that.
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NVIM: More complete autocomplete
rope
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Making Python Code Idiomatic by Automatic Refactoring Non-Idiomatic Python Code with Pythonic Idioms
If you are interested in discussing this or have ideas you want to sketch out, meet me at rope's GitHub Discussion.
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What motivates you writing open source software?
However, my biggest and most popular open source project is one that I don't originally write, but rather I inherited a popular project that has been abandoned by their original author/maintainers. I use Python a lot, so I wanted to contribute to the community in a significant way, so unlike my other projects I do take the time promoting this project as well. I felt it's more like a community service for this project.
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What are some interesting open source projects to contribute code to?
I am the maintainer rope and pylsp-rope. They are libraries for automated Python refactoring and to do that from any LSP-capable editors. We are always welcoming contributors of all levels.
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Why IDEs are Important
Rope has first class support for Vim and it can do a move refactoring, among other refactorings. From this, this feature is available from python-mode and ropevim.
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Visual Studio Code is designed to fracture
rope
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Why did you switch from another language to Rust? Do you regret not learning it earlier?
Okay this depends: if your code is static: perfectly possible for example with https://github.com/python-rope/rope (used for example by VS Code). If it's dynamic / generated via metaprogramming: I never tried it but I can't imagine that it'd work there, yes. However java tooling also can't do that because it simply doesn't support metaprogramming in any noteworthy way.
mypy
- The GIL can now be disabled in Python's main branch
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Polars – A bird's eye view of Polars
It's got type annotations and mypy has a discussion about it here as well: https://github.com/python/mypy/issues/1282
- Static Typing for Python
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Python 3.13 Gets a JIT
There is already an AOT compiler for Python: Nuitka[0]. But I don't think it's much faster.
And then there is mypyc[1] which uses mypy's static type annotations but is only slightly faster.
And various other compilers like Numba and Cython that work with specialized dialects of Python to achieve better results, but then it's not quite Python anymore.
[0] https://nuitka.net/
[1] https://github.com/python/mypy/tree/master/mypyc
- Introducing Flask-Muck: How To Build a Comprehensive Flask REST API in 5 Minutes
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WeveAllBeenThere
In Python there is MyPy that can help with this. https://www.mypy-lang.org/
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It's Time for a Change: Datetime.utcnow() Is Now Deprecated
It's funny you should say this.
Reading this article prompted me to future-proof a program I maintain for fun that deals with time; it had one use of utcnow, which I fixed.
And then I tripped over a runtime type problem in an unrelated area of the code, despite the code being green under "mypy --strict". (and "100% coverage" from tests, except this particular exception only occured in a "# pragma: no-cover" codepath so it wasn't actually covered)
It turns out that because of some core decisions about how datetime objects work, `datetime.date.today() < datetime.datetime.now()` type-checks but gives a TypeError at runtime. Oops. (cause discussed at length in https://github.com/python/mypy/issues/9015 but without action for 3 years)
One solution is apparently to use `datetype` for type annotations (while continuing to use `datetime` objects at runtime): https://github.com/glyph/DateType
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What's New in Python 3.12
PEP 695 is great. I've been using mypy every day at work in last couple years or so with very strict parameters (no any type etc) and I have experience writing real life programs with Rust, Agda, and some Haskell before, so I'm familiar with strict type systems. I'm sure many will disagree with me but these are my very honest opinions as a professional who uses Python types every day:
* Some types are better than no types. I love Python types, and I consider them required. Even if they're not type-checked they're better than no types. If they're type-checked it's even better. If things are typed properly (no any etc) and type-checked that's even better. And so on...
* Having said this, Python's type system as checked by mypy feels like a toy type system. It's very easy to fool it, and you need to be careful so that type-checking actually fails badly formed programs.
* The biggest issue I face are exceptions. Community discussed this many times [1] [2] and the overall consensus is to not check exceptions. I personally disagree as if you have a Python program that's meticulously typed and type-checked exceptions still cause bad states and since Python code uses exceptions liberally, it's pretty easy to accidentally go to a bad state. E.g. in the linked github issue JukkaL (developer) claims checking things like "KeyError" will create too many false positives, I strongly disagree. If a function can realistically raise a "KeyError" the program should be properly written to accept this at some level otherwise something that returns type T but 0.01% of the time raises "KeyError" should actually be typed "Raises[T, KeyError]".
* PEP 695 will help because typing things particularly is very helpful. Often you want to pass bunch of Ts around but since this is impractical some devs resort to passing "dict[str, Any]"s around and thus things type-check but you still get "KeyError" left and right. It's better to have "SomeStructure[T]" types with "T" as your custom data type (whether dataclass, or pydantic, or traditional class) so that type system has more opportunities to reject bad programs.
* Overall, I'm personally very optimistic about the future of types in Python!
[1] https://github.com/python/mypy/issues/1773
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Mypy 1.6 Released
# is fixed: https://github.com/python/mypy/issues/12987.
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Ask HN: Why are all of the best back end web frameworks dynamically typed?
You probably already know but you can add type hints and then check for consistency with https://github.com/python/mypy in python.
Modern Python with things like https://learnpython.com/blog/python-match-case-statement/ + mypy + Ruff for linting https://github.com/astral-sh/ruff can get pretty good results.
I found typed dataclasses (https://docs.python.org/3/library/dataclasses.html) in python using mypy to give me really high confidence when building data representations.
What are some alternatives?
Bowler - Safe code refactoring for modern Python.
pyright - Static Type Checker for Python
RedBaron - Bottom-up approach to refactoring in python
ruff - An extremely fast Python linter and code formatter, written in Rust.
python-lsp-server - Fork of the python-language-server project, maintained by the Spyder IDE team and the community
pyre-check - Performant type-checking for python.
jedi - Awesome autocompletion, static analysis and refactoring library for python
black - The uncompromising Python code formatter
Pylint - It's not just a linter that annoys you!
pytype - A static type analyzer for Python code
Python-mode - Vim python-mode. PyLint, Rope, Pydoc, breakpoints from box.
pydantic - Data validation using Python type hints