Learning path

NumPy

Fast maths on whole arrays of numbers: the foundation of data science and AI in Python, with animated arrays.

Start with lesson 1

1

NumPy Introduction

What NumPy is, why every data science and AI library is built on it, how to install it, and your first array.
3 min read
2

Creating NumPy Arrays

Make arrays from lists, ranges, zeros, ones and random numbers, and read their shape, size and type.
3 min read
3

NumPy Indexing and Slicing

Pick single values, rows, columns and blocks out of an array, and filter it with true/false masks.
2 min read
4

Reshaping and Joining Arrays

Change an array's shape with reshape, flatten and transpose, and join arrays with concatenate, vstack and hstack.
2 min read
5

NumPy Maths and Broadcasting

Element-wise maths, universal functions, and broadcasting, the rule that lets arrays of different shapes work together.
2 min read
6

NumPy Statistics and Aggregations

Sum, mean, median, standard deviation, min, max and argmax, along rows or columns, plus a mini project analysing class results.
3 min read