This repository contains everything you need to follow the "Thinking In Arrays" tutorial, presented at the SciPy 2024 conference on Monday, July 8, 2024 at 13:30am‒17:30pm PDT in Room 315. This ...

Despite its reputation for being slow, Python is the leading language of scientific computing, which generally needs large-scale (fast) computations. This is because most scientific problems can be ...

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 ...

Python is a powerful programming language that is easy to learn and easy to work with, but it is not always the fastest to run—especially when you’re dealing with math or statistics. Third-party ...