beartype
Kategory
beartype | Kategory | |
---|---|---|
18 | 32 | |
2,430 | 5,968 | |
2.8% | 0.4% | |
9.4 | 8.8 | |
4 days ago | 4 days ago | |
Python | Kotlin | |
MIT License | 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.
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
Kategory
- Arrow Project for Arrow on GitHub
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Java 21 makes me like Java again
Yeah, it has nice funcional capabilities and libraries (like Arrow[0]).
[0]: https://arrow-kt.io
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Is it prudent to use Scala for anything new?
Last but not least, Scala is currently the language with one of the best effect systems in my opinion (https://zio.dev/). Kotlin for example has copied the approach with https://arrow-kt.io/ which I think is great actually. But when comparing Scala and Kotlin here, Scala wins by a large margin, it is a completely different world. It's like building a highly concurrent system in Erlang vs C.
Of course, if you don't want to learn things like union types, traits/typeclasses and effects (similar to async/await but more powerful) you will be annoyed by Scala. But once you learned them, you can never go back.
- Alternatives to scala FP
- Result Class with Generic Type for both Success and Failure States
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Struggling with software robustness with Kotlin
In my own code, I started to use explicit error handling. I'm currently experimenting with Result (from https://github.com/michaelbull/kotlin-result) and Raise (from https://arrow-kt.io/).
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Hey Rustaceans! Got a question? Ask here (5/2023)!
Are there any more-or-less established functional crates in Rust (similar to Kotlin’s Arrow)?
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What's the benefit of using Arrow with Kotlin?
I wonder how the community sees adding Arrow besides standard Kotlin language features. Is it something that's still considered useful or just redundant and causing more confusion?
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ArrowKt/FP - Tracking paths to validation errors
You can define a function like context(EitherEffect) suspend fun MyType.bind(path: String)like the ones in https://github.com/arrow-kt/arrow/blob/b608a054a5318fe57d7055c35bb64a5effb053b6/arrow-libs/core/arrow-core/src/commonMain/kotlin/arrow/core/computations/either.kt
- What advance concept to learn in Kotlin
What are some alternatives?
typeguard - Run-time type checker for Python
cats-effect - The pure asynchronous runtime for Scala
pydantic - Data validation using Python type hints
RxKotlin - RxJava bindings for Kotlin
mypy - Optional static typing for Python
kotlin-monads - Monads for Kotlin
mypyc - Compile type annotated Python to fast C extensions
kotlin-result - A multiplatform Result monad for modelling success or failure operations.
toit - Program your microcontrollers in a fast and robust high-level language.
Reduks - A "batteries included" port of Reduxjs for Kotlin+Android
benchmarks - Some benchmarks of different languages
redux-kotlin - Predictable state container for Kotlin apps