NumPy Tutorial

NumPy, which stands for Numerical Python, is a library consisting of multidimensional array objects and a collection of routines for processing those arrays.

Using NumPy, mathematical and logical operations on arrays can be performed. This tutorial explains the basics of NumPy such as its architecture and environment.

It also discusses the various array functions, types of indexing, etc. An introduction to Matplotlib is also provided.

All this is explained with the help of examples for better understanding.

This tutorial will cover below mentioned topics:

NumPy - Introduction

NumPy - Environment

NumPy - Ndarray Object

NumPy - Data Types

NumPy - Array Attributes

NumPy - Array Creation Routines

NumPy - Array From Existing Data

NumPy - Array From Numerical Ranges

NumPy - Indexing & Slicing

NumPy - Advanced Indexing

NumPy - Broadcasting

NumPy - Iterating Over Array

NumPy - Array Manipulation

NumPy - Binary Operators

NumPy - String Functions

NumPy - Mathematical Functions

NumPy - Arithmetic Operations

NumPy - Statistical Functions

NumPy - Sort, Search & Counting Functions

NumPy - Byte Swapping

NumPy - Copies & Views

NumPy - Matrix Library

NumPy - Linear Algebra

NumPy - Matplotlib

NumPy - Histogram Using Matplotlib