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.

Deterministic domain encoders with embedding-space arithmetic (IEEE-754 semantics)

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

⚡ Auto-JIT your Python code with Numba @njit + optional AOT compilation 🚀 Numeric-heavy code, boosted fast 🏎️

Arbitrary Numbers

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.

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

Python package for calculating weighted Matthews Correlation Coefficient (MCC) and its multiclass extensions (ECC, MPC1, MPC2) with theoretical robustness guarantees.

Project for the University of Bologna Numerical Computing course (a.y. 2021-22).

Implementation of several numerical computing methods with Python /// by theMHD.

Transpiler converting IBM APL2 code and workspaces to Python/NumPy

Exercises for the University of Bologna Numerical Computing course (a.y. 2021-22).

This repository demonstrates a hybrid Python/C++ architecture for performance-critical scientific workloads

Synth-Fuse: JAX-native fusion engine for swarm, RL & numerical algorithms. Write the spell, run the sigil, ship the kernel. One-liner recipes, JIT-sharp, TPU-ready.

TensorFlow with rhythm — simple, flexible neural networks without the Keras overhead.

A lightweight auto-differentiation and backpropagation library written in python using numpy.

⚡ Accelerate Python performance with Autonumba by auto-injecting JIT compilation, enhancing speed for files and libraries effortlessly.