Learn how to create, index, slice, reshape, and perform arithmetic operations on arrays using NumPy, the most popular Python library for data science.

This post shows you how to use arrays in Python and why this data structure is so useful. A foundational skill for data science, coding, and more!

NumPy is a popular library for scientific computing and data manipulation in Python.It provides a large collection of functions and methods for working with arrays, matrices, linear algebra, ...

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 ...