Numba
zig
Numba | zig | |
---|---|---|
124 | 818 | |
9,471 | 30,946 | |
1.3% | 3.7% | |
9.9 | 10.0 | |
7 days ago | 2 days ago | |
Python | Zig | |
BSD 3-clause "New" or "Revised" License | 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.
Numba
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Mojo🔥: Head -to-Head with Python and Numba
Around the same time, I discovered Numba and was fascinated by how easily it could bring huge performance improvements to Python code.
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Is anyone using PyPy for real work?
Simulations are, at least in my experience, numba’s [0] wheelhouse.
[0]: https://numba.pydata.org/
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Any data folks coding C++ and Java? If so, why did you leave Python?
That's very cool. Numba introduces just-in-time compilation to Python via decorators and its sole reason for being is to turn everything it can into abstract syntax trees.
- Using Matplotlib with Numba to accelerate code
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Python Algotrading with Machine Learning
A super-fast backtesting engine built in NumPy and accelerated with Numba.
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PYTHON vs OCTAVE for Matlab alternative
Regarding speed, I don't agree this is a good argument against Python. For example, it seems no one here has yet mentioned numba, a Python JIT compiler. With a simple decorator you can compile a function to machine code with speeds on par with C. Numba also allows you to easily write cuda kernels for GPU computation. I've never had to drop down to writing C or C++ to write fast and performant Python code that does computationally demanding tasks thanks to numba.
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Codon: Python Compiler
Just for reference,
* Nuitka[0] "is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11."
* Pypy[1] "is a replacement for CPython" with builtin optimizations such as on the fly JIT compiles.
* Cython[2] "is an optimising static compiler for both the Python programming language and the extended Cython programming language... makes writing C extensions for Python as easy as Python itself."
* Numba[3] "is an open source JIT compiler that translates a subset of Python and NumPy code into fast machine code."
* Pyston[4] "is a performance-optimizing JIT for Python, and is drop-in compatible with ... CPython 3.8.12"
[0] https://github.com/Nuitka/Nuitka
[1] https://www.pypy.org/
[2] https://cython.org/
[3] https://numba.pydata.org/
[4] https://github.com/pyston/pyston
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This new programming language has the potential to make python (the dominant language for AI) run 35,000X faster.
For the benefit of future readers: https://numba.pydata.org/
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Two-tier programming language
Taichi (similar to numba) is a python library that allows you to write high speed code within python. So your program consists of slow python that gets interpreted regularly, and fast python (fully type annotated and restricted to a subset of the language) that gets parallellized and jitted for CPU or GPU. And you can mix the two within the same source file.
- Numba Supports Python 3.11
zig
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Show HN: I made a better Perplexity for developers
It's "Zig" not "Zag". https://ziglang.org/ Zig is under heavy development, but there's a single page https://ziglang.org/documentation/0.12.0/ that is a reasonably comprehensive source of truth about the current state of the language.
- The search for easier safe systems programming
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Memory-mapped IO registers in Zig. (2021)
There is an issue proposing this approach: https://github.com/ziglang/zig/issues/4284
- Zig Programming Language
- Zig Language 0.12 Release
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Zig 0.12.0 Release Notes
https://github.com/ziglang/zig/issues/224
e.g.:
> > When debugging/prototyping, it's useful to comment out a line without having to refactor, e.g.
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How to Write a PHP Extension with Zig?
When writing code in a scripting language, sometimes you need that extra bit of performance (or maybe an async feature from Zig).
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Bun - The One Tool for All Your JavaScript/Typescript Project's Needs?
NodeJS is by no means a slow runtime, it wouldn’t be so popular if it was. But compared to Bun, it’s slow. Bun was built from the ground up with speed in mind, using both JavascriptCore and Zig. The Bun team spent an enormous amount of time and energy trying to make Bun fast, including lots of profiling, benchmarking, and optimizations.
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Bun 1.1
ntdll.dll!RtlUserThreadStart()
There are valid reasons to use APIs from NTDLL. Where I disagree with zig#1840 is the idea that it is always better to use NTDLL versions of API. Every other software ecosystem uses the standard Win32 APIs and diverging from that without a good reason seems like a good way to have unexpected behavior. One concrete example is most users and programmers expect Windows to redirect some file system paths when running on WOW64. But this is implemented in Kernel32, not ntdll.
https://github.com/ziglang/zig/issues/11894
- Zig, Rust, and Other Languages
What are some alternatives?
NetworkX - Network Analysis in Python
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).
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Odin - Odin Programming Language
Dask - Parallel computing with task scheduling
v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
cupy - NumPy & SciPy for GPU
rust - Empowering everyone to build reliable and efficient software.
Pyjion - Pyjion - A JIT for Python based upon CoreCLR
go - The Go programming language
SymPy - A computer algebra system written in pure Python
ssr-proxy-js - A Server-Side Rendering Proxy focused on customization and flexibility!