rust-numpy

PyO3-based Rust bindings of the NumPy C-API (by PyO3)

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rust-numpy reviews and mentions

Posts with mentions or reviews of rust-numpy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-27.
  • Numba: A High Performance Python Compiler
    11 projects | news.ycombinator.com | 27 Dec 2022
    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
    9 projects | news.ycombinator.com | 13 Nov 2022
  • Hmm
    13 projects | /r/ProgrammerHumor | 11 Aug 2022
    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.
  • Man, I love this language.
    9 projects | /r/rust | 18 Feb 2022
    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.
  • [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?
    8 projects | /r/MachineLearning | 30 Dec 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.
  • Writing Rust libraries for the Python scientific computing ecosystem
    12 projects | /r/rust | 19 Dec 2021
    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)
  • Feasibility of Using a Python Image Super Resolution Library in My Rust App
    3 projects | /r/rust | 19 Apr 2021
    This example maybe helpful.
  • Julia is the better language for extending Python
    13 projects | news.ycombinator.com | 19 Apr 2021
    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...)

  • Parsing PDF Documents in Rust
    1 project | /r/rust | 31 Jan 2021
    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.
  • PyO3: Rust Bindings for the Python Interpreter
    18 projects | news.ycombinator.com | 29 Jan 2021
    https://github.com/PyO3/rust-numpy
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