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NumPy Tutorial

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What is Numpy?

NumPy is a Python library.

NumPy is used for working with arrays.

NumPy is short for "Numerical Python".

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 Filter

Random

Random Intro
 
Data Distribution
 
Random Permutation
 
Seaborn Module
 
Normal Dist.
 
Binomial Dist.
 
Poisson Dist.
 
Uniform Dist.
 
Logistic Dist.
 
Multinomial Dist.
 
Exponential Dis.
 
Chi Square Dist.
 
Rayleigh Dist.
 
Pareto Dist.
 
Zipf Dist.

ufunc

ufunc Intro
 
Create Function
 
Simple Arithmetic
 
Rounding Decimals
 
Logs
 
Summations
 
Products
 
Differences
 
Finding LCM
 
Finding GCD
 
Trigonometric
 
Hyperbolic
 
Set Operations

Learning by Quiz Test

Test your NumPy skills with a quiz test.

Start NumPy Quiz

Learning by Exercises

NumPy Exercises

Exercise:

Insert the correct method for creating a NumPy array.

arr = np.([1, 2, 3, 4, 5])

Learning 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 »

Click on the "Try it Yourself" button to see how it works.

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