rust-numpy
adventofcode
rust-numpy | adventofcode | |
---|---|---|
10 | 718 | |
1,016 | 65 | |
2.1% | - | |
8.0 | 9.0 | |
17 days ago | 4 months ago | |
Rust | Scala | |
BSD 2-clause "Simplified" License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
rust-numpy
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Numba: A High Performance Python Compiler
On the contrary, it can use and interface with numpy quite easily: https://github.com/PyO3/rust-numpy
- Carefully exploring Rust as a Python developer
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Hmm
Once I figured out the right tools, it was easy. Its just "maturin new". It automatically converts python floats and strings. Numpy arrays come through as a special Pyarray type, that you need to unwrap, but that's just one builtin function. Using pyo3, maturin and numpy, https://github.com/PyO3/rust-numpy it's fairly easy.
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Man, I love this language.
If I'm understanding this documentation correctly then you may be able to pass the numpy array directly with func(df['col'].to_numpy) which may save some conversion.
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[D] Is Rust stable/mature enough to be used for production ML? Is making Rust-based python wrappers a good choice for performance heavy uses and internal ML dependencies in 2021?
Otherwise, though, Rust is an excellent choice. The many advantages of Rust (great package manager, memory safety, modern language features, ...) are already well documented so I won't repeat them here. Specifically for writing Python libraries, check out PyO3, maturin, and rust-numpy, which allow for seamless integration with the Python scientific computing ecosystem. Dockerizing/packaging is a non-issue, with the aforementioned libraries you can easily publish Rust libraries as pip packages or compile them from source as part of your docker build. We have several successful production deployments of Rust code at OpenAI, and I have personally found it to be a joy to work with.
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Writing Rust libraries for the Python scientific computing ecosystem
Integration with numpy uses the rust-numpy crate: Example of method that accepts numpy arrays as arguments Example of a method that returns a numpy array to Python (this performs a copy, there ought to be a way to avoid it but the current implementation has been plenty fast for my use case so far)
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Feasibility of Using a Python Image Super Resolution Library in My Rust App
This example maybe helpful.
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Julia is the better language for extending Python
Given that it's via pyO3, you could even pass the numpy arrays using https://github.com/PyO3/rust-numpy and get ndarrays at the other side.
Same no copy, slightly more user friendly approach.
Further criticism of the actual approach - even if we didn't do zero copy, there's no preallocation for the vector despite the size being known upfront, and nested vectors are very slow by default.
So you could speed up the entire thing by passing it to ndarray, and then running a single call to sum over the 2D array you'd find at the other end. (https://docs.rs/ndarray/0.15.1/ndarray/struct.ArrayBase.html...)
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Parsing PDF Documents in Rust
I believe converting between pandas Series (e.g. columns) and numpy ndarrays can be pretty cheap, right? Once they're in that format, you can use rust to work directly on the numpy memory buffer with rust-numpy. Otherwise, feather is a format designed for IPC of columnar data; pyarrow is in pandas (might be an optional dependency) and may be pretty quick for that, and rust has an arrow implementation too.
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PyO3: Rust Bindings for the Python Interpreter
https://github.com/PyO3/rust-numpy
adventofcode
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-❄️- 2023 Day 6 Solutions -❄️-
On GitHub.
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-🎄- 2022 Day 21 Solutions -🎄-
My Scala solution – to be cleaned up.
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Advent of Code (in MiniScript), Day 18
Welcome back to my series of Advent of Code solutions in MiniScript! Day 18 was pretty straightforward, though it presents some interesting choices in how to represent the data -- choices I'm not sure I made optimally.
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-🎄- 2022 Day 18 Solutions -🎄-
My Scala solution.
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Late bloomers (that started life closer to 30), how are things going for you?
And I've solved all of the Advent of Code problems so far this year, which is utterly unimportant but still brings me joy.
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Coding/programming is absolutely fantastic
If you'd enjoy some coding challenges, advent of code (https://adventofcode.com/) is currently going on.
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Advent of Code (in MiniScript), Day 17
Welcome back to my series of Advent of Code solutions in MiniScript! In Day 17 we got to (sort of) play Tetris. Five different Tetris-like shapes fall into a pit, moved left or right on each step according to the input. The first task is to see how high this stack will grow after 2022 blocks have been dropped in.
- Can someone give me a good idea for C# console app I could make?
- The Empty List
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Advent of Code (in MiniScript), Day 16
Welcome back to my series of Advent of Code solutions in MiniScript! Day 16 was... how to put this?
What are some alternatives?
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polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
LeetCode - This is my LeetCode solutions for all 2000+ problems, mainly written in C++ or Python.
rayon - Rayon: A data parallelism library for Rust
Exercism - Scala Exercises - Crowd-sourced code mentorship. Practice having thoughtful conversations about code.
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.
PyO3 - Rust bindings for the Python interpreter
Advent-of-Code - Advent of Code