numox
A high-performance Python C-extension for matrix mathematics, accelerated with OpenMP, AVX, and FMA instructions.
Installation
From Source (Requires C compiler)
You can install numox directly from this GitHub repository:
# Note: Ensure you have a C compiler (GCC/Clang) with OpenMP support installed.
pip install git https://github.com/YourUsername/numox.git
Docker Development Environment
If you want a clean, "painless" environment to compile and test the C-extension without configuring your local machine, use the provided Ubuntu 22.04 Dockerfile:
# 1. Build the docker image
docker build -t numox-env .
# 2. Run the container, mounting your current code directory
docker run -it --rm -v "${PWD}:/workspace" numox-env bash
# 3. Inside the container, install the library or run tests
pip install .
make test
Quick Start
import numox as nc
# Create a 3x3 matrix initialized with random values between 0.0 and 1.0
mat1 = nc.Matrix(3, 3, rand=True, low=0.0, high=1.0)
mat2 = nc.Matrix(3, 3, rand=True, low=0.0, high=1.0)
# Perform fast matrix operations
result = mat1 + mat2
print(result.to_list())
1 maintainer
Metadata
1 maintainer
Release files for numox 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| numox-1.0.2.tar.gz | 10.9 kB | Details |
Built distributions (wheels)
Total release size: 2.1 MB
Release files / numox-1.0.2.tar.gz
| Download URL | numox-1.0.2.tar.gz |
|---|---|
| Size | 10.9 kB |
| Tags | Source |
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