sokol-zig
nimpy
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sokol-zig
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Zig cookbook: collection of simple Zig programs that demonstrate good practices
Zig currently doesn't allow chained designators and also doesn't allow to partially initialize arrays and fill up the rest of the array with default values.
E.g. the closest Zig equivalent to this C99 code:
https://github.com/floooh/sokol-samples/blob/b3bc55c4411fa03...
...is this:
https://github.com/floooh/sokol-zig/blob/a4b3c287fadd153a504...
...note how part of the initialization had to be moved out into "code".
There's a ticket about this here, but it's currently not high-priority:
https://github.com/ziglang/zig/issues/6068
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Nim v2.0 Released
I maintain auto-generated bindings for my C libraries for Zig and Nim (and Odin and Rust - although the Rust bindings definitely need some love to make them a lot more idiomatic).
I think looking at the examples (which is essentially the same code in different languages) gives you a high level idea, but they only scratch the surface when it comes to language features (things like the Zig code not using comptime features):
Zig: https://github.com/floooh/sokol-zig/tree/master/src/examples
Nim: https://github.com/floooh/sokol-nim/tree/master/examples
Odin: https://github.com/floooh/sokol-odin/tree/main/examples
Rust: https://github.com/floooh/sokol-rust/tree/main/examples
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Zig Build System
IMHO you really need a programming language to describe a build, even when the result looks very declarative.
E.g. not sure how Meson handles this, but when I have a project with dozens of similar build targets and platform specific compile options, I really want to do the build description in a loop instead of a data tree.
(for example: https://github.com/floooh/sokol-zig/blob/3f978e58712f9eb029b...)
- Zig and WASM
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Mach v0.1 - cross-platform Zig graphics in ~60 seconds
Is this project comparable to the zig sokol project?https://github.com/floooh/sokol-zig
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How does zig magically cross compile without target shared libraries
I was rather amazed that I could cross-compile the zig-sokol examples https://github.com/floooh/sokol-zig for a Windows target on a Linux host (WSL Ubuntu). I simply set -target x86_64-windows and copied the executable into Windows and got a nice spinning cube displayed.
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Mach Engine: The Future of Graphics (With Zig)
(disclaimer: shameless plug) Here's another cross-platform alternative, auto-generated Zig bindings to the Sokol headers:
https://github.com/floooh/sokol-zig
This is quite a bit slimmer than using one of the WebGPU libraries like wgpu-rs or Dawn, because sokol-gfx doesn't need an integrated shader cross-compiler (instead translation from a common shader source to the backend-specific shader formats happens offline).
Eventually I'd also like to support the Android, iOS and WASM backends from Zig (currently this only works from C/C++, for instance here are the WASM demos: https://floooh.github.io/sokol-html5/)
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Making Win32 APIs More Accessible to More Languages
I'm tackling this issue from two sides:
(1) Change the C-API to make it more "binding-generator-friendly", for instance by adding a range/slice-struct to th C-API which bundles a pointer and associated size, or specially named typedefs that only exist to give the binding generator hints for special case handling.
(2) Make the bindings-generator configurable on a per-language and per-API basis, this can be as simple as a map which overrides type- and function-names, or injects manually written code into the generated bindings.
The goal is to make the generated bindings more idiomatic to the target language.
This mostly works if you have control over the underlying C-API of course, e.g. the language bindings are created by the original C-library project, not as an external project to convert a fixed C-API.
I wrote a blog post about this whole topic:
https://floooh.github.io/2020/08/23/sokol-bindgen.html
...and here's an example of one such semi-auto-generated Zig bindings, note the two "injected" helper functions at the top:
https://github.com/floooh/sokol-zig/tree/master/src/sokol
...for instance note the "injected" helper functions here:
https://github.com/floooh/sokol-zig/blob/1c93f60ad178869b84d...
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Game Development
As you can see from the comments there are lots of options. Sokol is another one https://github.com/floooh/sokol-zig
nimpy
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Mojo is now available on Mac
I mean honestly, the closest language to Mojo really is Nim. In the latest Lex Fridman interview [0] when he talks about his ideas behind Mojo it pretty much sounds like he's describing Nim. Ok fair, he wants Mojo to be a full superset of Python, but honestly with nimpy [1] our Python interop is about as seamless as it can really be (without being a superset, which Mojo clearly is not yet). Even the syntax of Mojo looks a damn lot like Nim imo. Anyway, I guess he has the ability to raise enough funds to hire enough people to write his own language within ~2 years so as not have to follow random peoples whim about where to take the language. So I guess I can't blame him. But as someone who's pretty invested in the Nim community it's quite a shame to see such a hyped language receive so much attention by people who should really check out Nim. ¯\_(ツ)_/¯
[0]: https://youtu.be/pdJQ8iVTwj8?si=LfPSNDq8UKKIsJd3
[1]: https://github.com/yglukhov/nimpy
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Show HN: Pip Imports in Deno
You can also do this in Nim, which basically means you can write any program you could in Python with libraries in Nim. https://github.com/yglukhov/nimpy
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Nim v2.0 Released
Ones that have not been mentioned so far:
nlvm is an unofficial LLVM backend: https://github.com/arnetheduck/nlvm
npeg lets you write PEGs inline in almost normal PEG notation: https://github.com/zevv/npeg
futhark provides for much more automatic C interop: https://github.com/PMunch/futhark
nimpy allows calling Python code from Nim and vice versa: https://github.com/yglukhov/nimpy
questionable provides a lot of syntax sugar surrounding Option/Result types: https://github.com/codex-storage/questionable
ratel is a framework for embedded programming: https://github.com/PMunch/ratel
cps allows arbitrary procedure rewriting to continuation passing style: https://github.com/nim-works/cps
chronos is an alternative async/await backend: https://github.com/status-im/nim-chronos
zero-functional fixes some inefficiencies when chaining list operations: https://github.com/zero-functional/zero-functional
owlkettle is a declarative macro-oriented library for GTK: https://github.com/can-lehmann/owlkettle
A longer list can be found at https://github.com/ringabout/awesome-nim.
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Prospects of utilising Nim in scientific computation?
I use Python daily for its massive momentum for scientific stuff, but I also use Nim for everything else. Nim compiles to C, and making Python native modules with Nim is easy with Nimpy.
- Can't run compiled nim code in Python
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Returning to Nim from Python and Rust
If are a data scientist and come from python take a look at nimpy, a great way to just import python libraries and use them! https://github.com/yglukhov/nimpy Numpy, pandas, pytorch all usable in Nim.
Nim is the ultimate glue language, use libraries from anything: python, c, js, objc.
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Python's “Disappointing” Superpowers
I've come to really enjoy programming in Nim. Note that Nim is very different language despite sharing a similar syntax. However, I feel it keeps a lot of the "feel" of Python 2 days of being a fairly simple neat language but that lets you do things at compile time (like compile time duck typing).
There's a good Python -> Nim bridge: https://github.com/yglukhov/nimpy
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Dunder methods in nimpy
See this nimpy issue about it: https://github.com/yglukhov/nimpy/issues/43
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What language to move to from python to speed up algo?
It has pretty good integration with python, either for having your main code in python and writing small hot functions as nim and importing via nimporter or using python libraries in nim via nimpy.
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ABI compatibility in Python: How hard could it be?
Related: Nimpy[0] provides an easy way to write Python extensions in Nim, which manages the ABI side very well.
Python 2 is now gone, but until it was, Nimpy was an easy way to write Python extension modules that only needed to be compiled once, and would work with any of your installed Python 2 and Python 3. Magic.
[0] https://github.com/yglukhov/nimpy
What are some alternatives?
zig-bgfx-sdl2 - Minimal zig project to get bgfx running with sdl2
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
bigger - bigg (bgfx + imgui + glfw + glm) + utils
Box - Python dictionaries with advanced dot notation access
sokol-samples - Sample code for https://github.com/floooh/sokol
nimporter - Compile Nim Extensions for Python On Import!
go - The Go programming language
scinim - The core types and functions of the SciNim ecosystem
JNA - Java Native Access
nimpylib - Some python standard library functions ported to Nim
ffmpeg - FFmpeg Zig package
nimskull - An in development statically typed systems programming language; with sustainability at its core. We, the community of users, maintain it.