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!

To keep things simple, let’s start with just two lines of Python code to import the NumPy package for basic scientific computing and create an array of four numbers. The Python code looks like this: ...

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 ...

Im guessing this is built into the language, but I can't seem to find anything on it, and I'm just trying to get it done, so here I am to ask. Have a nested array that my function is returning ...

ArrayG is a Python library that allows you to use numpy arrays in a similar way to regular lists in Python. This way, we save memory and make their usage easier.