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