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Cox Tim - Raspberry Pi 3 Cookbook for Python Programmers

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A recipe-based guide to programming your Raspberry Pi 3 using Python About This Book Leverage the power of Raspberry Pi 3 using Python programming Create 3D games, build neural network modules, and interface with your own circuits Packed with clear, step-by-step recipes to walk you through the capabilities of Raspberry Pi Who This Book Is For This book is for anyone who wants to master the skills of Python programming using Raspberry Pi 3. Prior knowledge of Python will be an added advantage. What You Will Learn Learn to set up and run Raspberry Pi 3 Build text classifiers and perform automation using Python Predict sentiments in words and create games and graphics Detect edges and contours in images Build human face detection and recognition system Use Python to drive hardware Sense and display real-world data Build a neural network module for optical character recognition Build movie recommendations system In Detail Raspberry Pi 3 Cookbook for Python Programmers - Third Edition begins by guiding you through setting up Raspberry Pi 3, performing tasks using Python 3.6, and introducing the first steps to interface with electronics. As you work through each chapter, you will build your skills and apply them as you progress. You will learn how to build text classifiers, predict sentiments in words, develop applications using the popular Tkinter library, and create games by controlling graphics on your screen. You will harness the power of a built in graphics processor using Pi3D to generate your own high-quality 3D graphics and environments. You will understand how to connect Raspberry Pis hardware pins directly to control electronics, from switching on LEDs and responding to push buttons to driving motors and servos. Get to grips with monitoring sensors to gather real-life data, using it to control other devices, and viewing the results over the internet. You will apply what you have learned by creating your own Pi-Rover or Pi-Hexipod robots. You will also learn about sentiment analysis, face recognition techniques, and building neural network modules for optical character recognition. Finally, you will learn to build movie recommendations system on Raspberry Pi 3. Style and approach Written in a cookbook style, this book contains a series of recipes on various topics. It is an easy-to-follow step-by-step guide with examples of feature integration suitable for any search application. Downloading the example code for this book You can download ...

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Raspberry Pi 3 Cookbook for Python Programmers Third Edition Unleash the - photo 1
Raspberry Pi 3 Cookbook for Python Programmers
Third Edition
Unleash the potential of Raspberry Pi 3 with over 100 recipes
Tim Cox
Dr. Steven Lawrence Fernandes

BIRMINGHAM - MUMBAI Raspberry Pi 3 Cookbook for Python ProgrammersThird - photo 2

BIRMINGHAM - MUMBAI
Raspberry Pi 3 Cookbook for Python ProgrammersThird Edition

Copyright 2018 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Commissioning Editor: Gebin George
Acquisition Editor: Namrata Patil
Content Development Editor: Amrita Noronha
Technical Editor: Nilesh Sawakhande
Copy Editors: Safis Editing, Vikrant Phadkay
Project Coordinator: Shweta H Birwatkar
Proofreader: Safis Editing
Indexer: Rekha Nair
Graphics: Jisha Chirayil
Production Coordinator: Shantanu Zagade

First published: October 2016
Second edition: October 2017
Third edition: April 2018

Production reference: 1270418

Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.

ISBN 978-1-78862-987-4

www.packtpub.com

Dedicated to my loving LORD Jesus Christ for enlightening me with his word
"I will tell you great and hidden things which you have not known"
- Jeremiah 33:3.
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Contributors
About the authors

Tim Cox lives in England with his wife and two young daughters and works as a software engineer. His passion for programming stems from a Sinclair Spectrum that sparked his interest in computers and electronics. At university, he earned a BEng in Electronics and Electrical Engineering, and into a career in developing embedded software for a range of industries.

Supporting the vision behind the Raspberry Pi, to encourage a new generation of engineers, Tim co-founded the MagPi magazine (the official magazine for the Raspberry Pi) and produces electronic kits through his site PiHardware.com.

The Raspberry Pi community consists of an awesome group of helpful people from all over the world who were invaluable in researching this book.
Thanks to my family, particularly my wife, Kirsty, who has supported me at every step of the way and suffered daily due to my obsession with the Raspberry Pi. The excitement that my daughters, Phoebe and Amelia, have as they discover new things inspires me to share and teach as much as I can.

Dr. Steven Lawrence Fernandes has Postdoctoral Research experience working in the area of Deep Learning at The University of Alabama at Birmingham, USA. He has received the prestigious US award from Society for Design and Process Science for his outstanding service contributions in 2017 and Young Scientist Award by Vision Group on Science and Technology in 2014. He has also received Research Grant from The Institution of Engineers.

He has completed his B.E (Electronics and Communication Engineering) and M.Tech (Microelectronics) and Ph.D. (Computer Vision and Machine Learning). His Ph.D work Match Composite Sketch with Drone Images has received patent notification (Patent Application Number: 2983/CHE/2015).


I express my in-depth gratitude to Dr. Murat M. Tanik, Dr. Leon Jololian and Dr. Frank Skidmore from University of Alabama, Birmingham, for providing me with valuable guidance. I give a deep thanks to Dr. Manjunath Bhandary, Chairman, Sahyadri College of Engineering & Management; Dr. Rajinikanth Venkatesan;Mr. Manjunath Hebbar K; and Ms. Amrita Noronha for providing me with their constant support.
What this book covers

, Getting Started with a Raspberry Pi Computer , introduces the Raspberry Pi and explores the various ways in which it can be set up and used.

, Dividing Text Data and Building a Text Classifier, guides us to build a text classifier; it can classify text using the bag-of-words model.

, Using Python for Automation and Productivity, explains how to use graphical user interfaces to create your own applications and utilities.

, Predicting Sentiments in Words, explains how Naive Bayes classifiers and logistic regression classifiers are constructed to analyze the sentiment in words.

, Creating Games and Graphics, explains how to create a drawing application and graphical games using the Tkinter canvas.

, Detecting Edges and Contours in Images, describes in detail how images are loaded, displayed, and saved. It provides detailed implementations of erosion and dilation, image segmentation, histogram equalization, edge detection, detecting corners in images, and more.

, Creating 3D Graphics, discusses how we can use the hidden power of the Raspberry Pi's graphical processing unit to learn about 3D graphics and landscapes, and produce our very own 3D maze for exploration.

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