badger
beartype
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badger
- How to get clean simple C output?
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The Toit language is now open source
Nothing about the entire ecosystem I was talking about. But my initial work on the keyboard firmware can be found here: https://github.com/PMunch/badger/tree/final. There are many different projects in Nim running on microcontrollers though, but not something on a common ecosystem.
HHL?
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Nim Version 1.6 Released
Well no language is perfect, but Nim can be used in almost every domain because of it's compilation targets(C, C++, JS) and it's fast compile times(who needs interpretation when compile times are that fast!):
* Shell scripting, I still assume most people will just use Bash tho: https://github.com/Vindaar/shell
* Frontend: https://github.com/karaxnim/karax or you could bind to an existing JS library.
* Backend: For something Flask-like: https://github.com/dom96/jester or something with more defaults https://github.com/planety/prologue
* Scientific computing: the wonderful SciNim https://github.com/SciNim
* Blockchain: Status has some of the biggest Nim codebases currently in production https://github.com/status-im?q=&type=&language=nim&sort=
* Gamedev: Also used in production: https://github.com/pragmagic/godot-nim and due to easy C and C++ interop, you get access to a lot of gamedev libraries!
* Embedded: this is a domain I know very little about but for example https://github.com/elcritch/nesper or https://github.com/PMunch/badger for fun Nim+embedded stuff!
Most of the disadvantages come from tooling and lack of $$$ support.
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Looking into Zig
I think the fact that Nim compiles to C is neat in that you can use it on any platform that has a C compiler.
Here is a recent project that uses nim for AVR platforms, for example: https://github.com/PMunch/badger
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?
jester - A sinatra-like web framework for Nim.
typeguard - Run-time type checker for Python
skybison - Instagram's experimental performance oriented greenfield implementation of Python.
pydantic - Data validation using Python type hints
ulisp - A version of the Lisp programming language for ATmega-based Arduino boards.
mypy - Optional static typing for Python
zig-bootstrap - take off every zig
mypyc - Compile type annotated Python to fast C extensions
toit-color-tft
toit - Program your microcontrollers in a fast and robust high-level language.
toit-lsm303dlhc - Driver for the LSM303DLHC
benchmarks - Some benchmarks of different languages