A recipe-based guide to programming your Raspberry Pi 3 using Python
Key Features:
- 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
Book Description:
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 interacting with electronics. You will learn and apply skills as you progress through each chapter. 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 Pi's hardware pins directly to control electronics, from switching on LEDs and responding to push buttons to drive motors and servos. Get to grips with monitoring sensors to gather real-life data, use it to control other devices, and view the results over the internet. You will apply what you have learned by creating your own Pi-Rover or Pi-Hexapod 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 a movie recommendation system on Raspberry Pi 3.
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 a 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 a movie recommendation system.
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.
About the Author
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 entered a career in developing embedded software for a range of industries.
Supporting the vision behind Raspberry Pi and encouraging a new generation of engineers, Tim co-founded the MagPi magazine (the official magazine for Raspberry Pi) and produces electronic kits through his site, PiHardware.
Dr. Steven Lawrence Fernandes has postdoctoral research experience working in the area of deep learning at The University of Alabama at Birmingham, USA. He received the prestigious US award from the Society for Design and Process Science for his outstanding service contributions in 2017 and the Young Scientist Award by Vision Group on Science and Technology in 2014. He has also received a 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).
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