How-To Geek on MSN

These 7 Python libraries are useful even if you're not a developer

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.
GitHub

100_Numpy_exercises.md

This is a collection of exercises that have been collected in the numpy mailing list, on stack overflow and in the numpy documentation. The goal of this collection is to offer a quick reference for ...
GitHub

NumExpr: Fast numerical expression evaluator for NumPy

Author: David M. Cooke, Francesc Alted, and others. NumExpr is a fast numerical expression evaluator for NumPy. With it, expressions that operate on arrays (like '3*a+4*b') are accelerated and use ...
InfoWorld

Understanding DiskANN, a foundation of the Copilot Runtime

One of the key components of Microsoft’s Copilot Runtime edge AI development platform for Windows is a new vector search technology, DiskANN (Disk Accelerated Nearest Neighbors). Building on a ...
IEEE

Lessons learned from comparing C-CUDA and Python-Numba for GPU-Computing

Abstract: Python as programming language is increasingly gaining importance, especially in data science, scientific, and parallel programming. It is faster and easier to learn than classical ...
InfoWorld

Use Cython to accelerate array iteration in NumPy

NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in ...