Rope
beartype
Rope | beartype | |
---|---|---|
22 | 18 | |
1,839 | 2,430 | |
0.8% | 2.8% | |
9.3 | 9.4 | |
3 days ago | 2 days ago | |
Python | Python | |
GNU Lesser General Public License v3.0 only | MIT License |
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.
beartype
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Writing Python Like Rust
https://github.com/beartype/beartype
I wish more people started using Beartype, it makes Python bearable
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ChatGPT Git Hook Writes Your Commit Messages
I saw this on /r/Python the other day...
- When the client's management is happy but their dev team is a pain
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Returning to snake's nest after a long journey, any major advances in python for science ?
As other folks have commented, type hints are now a big deal. For static typing the best checker is pyright. For runtime checking there is typeguard and beartype. These can be integrated with array libraries through jaxtyping. (Which also works for PyTorch/numpy/etc., despite the name.)
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What are some features you wish Python had?
Maybe you're looking for https://github.com/beartype/beartype for runtime type enforcement; it's only at function calls, though, but probably a decent solution for codebases that are not completely typed for MyPy or pyright.
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svg.py: Type-safe and powerful Python library to generate SVG files
It is though, if you add a type checker to your pipeline and use it without any escape hatches such as `Any` or `type: ignore`, you are essentially making the promise that your code is statically typed. But I say it is a matter of perspective because in my opinion runtime type checking should be avoided if we can get away with statically typed code, but there are type checkers that perform runtime type checking via annotations such as [Beartype](https://github.com/beartype/beartype) (with some trickery like assuming homogenous data structures as to not have to check every element of every structure). Anyway the definition of "type safe" is not 100% even in compiled languages.
- Python’s “Type Hints” are a bit of a disappointment to me
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What's the best practice to validate parameter types at runtime in Python, with and without a third-party module?
There is the beartype project.
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Statically typed Python
Personally I find working around mypy's quirks to be more effort than it's worth, so to offer another option: typeguard or beartype can be used to perform run-time type checking.
- Beartype: Unbearably fast runtime type checking in Python
What are some alternatives?
Bowler - Safe code refactoring for modern Python.
typeguard - Run-time type checker for Python
RedBaron - Bottom-up approach to refactoring in python
pydantic - Data validation using Python type hints
python-lsp-server - Fork of the python-language-server project, maintained by the Spyder IDE team and the community
mypy - Optional static typing for Python
jedi - Awesome autocompletion, static analysis and refactoring library for python
mypyc - Compile type annotated Python to fast C extensions
Pylint - It's not just a linter that annoys you!
toit - Program your microcontrollers in a fast and robust high-level language.
Python-mode - Vim python-mode. PyLint, Rope, Pydoc, breakpoints from box.
benchmarks - Some benchmarks of different languages