✨ The fundamental numerical library for JavaScript and TypeScript. ✨

Scientific computing with Perl

High-accuracy SIMD sin/cos/sincos library in C with AVX2, AVX-512, and NEON support. Full-range reduction. Fast at scale. Portable by design.

N-dimensional / multi-dimensional arrays (tensors) in Scala 3. Think NumPy ndarray / PyTorch Tensor but type-safe over shapes, array/axis labels & numeric data types

Computer Science PDF notes

A focused resource for mastering NumPy, featuring practice problems, code examples, and interview-oriented numerical computing techniques in Python. Covers array operations, linear algebra, and performance optimization for data science interviews.

A java package for nd-array calculations

Python implementation of Methods and Algorithm or Numerical Computing Course. You just have to Enter the input values from the question and All the iterations will be generated automatically.

a basic numpy-like library in c with broadcasting :)

Comprehensive hands-on notes, examples, and exercises to master NumPy from basics to advanced.

A flonum matrix module for CHICKEN Scheme.

The repository provides code, build instructions, and usage guidelines for each FFT implementation.

The code provides a collection of functions for matrix changes, including transposing, finding the rank, inverting, multiplying.

This repository contains the source code and documentation for the OptiNumPy library, a numerical analysis optimization package written in Python. The library provides various numerical optimization algorithms for solving optimization problems.

Complete numerical computing labs with pdf documents. You just need to change coding according to your question requirements.

Arbitrary Numbers

Numpy-Basic is a structured learning repo covering NumPy from basics to advanced. It includes arrays, indexing, reshaping, filtering, vector ops, angle functions, stats, and .npy file handling. Each concept is explained with code, examples, and Matplotlib visualizations in both light and dark modes. Ideal for students and data learners.

Explore Python implementations of numerical methods for solving mathematical problems. Includes root-finding, integration, and more.

A high-performance polynomial regression implementation in pure C with gradient descent optimization and visualization support.