NumPy - Tutorial
NumPy stands for Numerical Python, is a library for the Python programming language. It provides support for large, multi-dimensional arrays and matrices, along with a large collection of routines for fast operations on arrays. It is a open-sourced software and has many contributors. The earlier version of NumPy was Numeric which was created by Jim Hugunin along with contributions from several other developers. In 2005, with lot of modifications, Travis Oliphant created NumPy by incorporating features of Numarray into Numeric.
This tutorial is intended for software programmers interested in studying basic and advanced concepts of NumPy. This tutorial covers all topics of NumPy which includes ndarray, array creation, indexing & slicing, broadcasting, array manipulation, operators, and functions etc. We believe in learning by examples, therefore, each topic is explained with lots of examples that makes you learn NumPy in a very easy way.
A prior exposure of any programming language would be an added advantage while following this tutorial but it is designed in such a way that anyone can start from scratch.