NumPy Tutorial
Learn NumPy
NumPy is a Python library.
NumPy is used for working with arrays.
NumPy is short for "Numerical Python".
Become NumPy Certified
Get certified with our NumPy exam, includes a professionally curated study kit to guide you from beginner to exam-ready.
Learning by Reading
We have created 43 tutorial pages for you to learn more about NumPy.
Starting with a basic introduction and ends up with creating and plotting random data sets, and working with NumPy functions:
Basic
Introduction Getting Started Creating Arrays Array Indexing Array Slicing Data Types Copy vs View Array Shape Array Reshape Array Iterating Array Join Array Split Array Search Array Sort Array FilterLearning by Examples
In our "Try it Yourself" editor, you can use the NumPy module, and modify the code to see the result.
Example
Create a NumPy array:
import numpy as np
arr = np.array([1, 2, 3, 4, 5])
print(arr)
print(type(arr))
Try it Yourself »
arr = np.array([1, 2, 3, 4, 5])
print(arr)
print(type(arr))
Click on the "Try it Yourself" button to see how it works.
Learning by Exercises
Many chapters in this tutorial end with an exercise where you can check your level of knowledge.
Learning by Quiz Test
Test your NumPy skills with a quiz test.