Book Image

Raspberry Pi By Example

By : Arush Kakkar
Book Image

Raspberry Pi By Example

By: Arush Kakkar

Overview of this book

Want to put your Raspberry Pi through its paces right out of the box? This tutorial guide is designed to get you learning all the tricks of the Raspberry Pi through building complete, hands-on hardware projects. Speed through the basics and then dive right in to development! Discover that you can do almost anything with your Raspberry Pi with a taste of almost everything. Get started with Pi Gaming as you learn how to set up Minecraft, and then program your own game with the help of Pygame. Turn the Pi into your own home security system with complete guidance on setting up a webcam spy camera and OpenCV computer vision for image recognition capabilities. Get to grips with GPIO programming to make a Pi-based glowing LED system, build a complete functioning motion tracker, and more. Finally, get ready to tackle projects that push your Pi to its limits. Construct a complete Internet of Things home automation system with the Raspberry Pi to control your house via Twitter; turn your Pi into a super-computer through linking multiple boards into a cluster and then add in advanced network capabilities for super speedy processing!
Table of Contents (22 chapters)
Raspberry Pi By Example
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Introducing NumPy


NumPy is the fundamental package used for scientific computing with Python and it is matrix library for linear algebra. NumPy can also be used as an efficient multidimensional container of generic data. Arbitrary datatypes can be defined and used. NumPy is an extension to the Python programming language, adding support for large, multidimensional arrays and matrices, along with a large library of high-level mathematical functions to operate on these arrays. We will be using NumPy arrays throughout this book in order to represent images and carry out complex mathematical operations on them. NumPy comes with many built-in functions for all these operations so that we do not have to worry about all the basic array operations. We can directly focus on the concepts and code for computer vision. All OpenCV array structures are converted to and from Numpy arrays. So, whatever operations you can compute in Numpy, we can process them with OpenCV.

In this book, we will be using NumPy...