Nicht aus der Schweiz? Besuchen Sie lehmanns.de

Raspberry Pi 3 Cookbook for Python Programmers (eBook)

Unleash the potential of Raspberry Pi 3 with over 100 recipes, 3rd Edition
eBook Download: EPUB
2018
552 Seiten
Packt Publishing (Verlag)
978-1-78862-698-9 (ISBN)

Lese- und Medienproben

Raspberry Pi 3 Cookbook for Python Programmers - Dr. Steven Lawrence Fernandes
Systemvoraussetzungen
27,59 inkl. MwSt
(CHF 26,95)
Der eBook-Verkauf erfolgt durch die Lehmanns Media GmbH (Berlin) zum Preis in Euro inkl. MwSt.
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

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 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 Pi's 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.

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

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.

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. 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).
A recipe-based guide to programming your Raspberry Pi 3 using PythonAbout This BookLeverage the power of Raspberry Pi 3 using Python programmingCreate 3D games, build neural network modules, and interface with your own circuitsPacked with clear, step-by-step recipes to walk you through the capabilities of Raspberry PiWho This Book Is ForThis 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 LearnLearn to set up and run Raspberry Pi 3Build text classifiers and perform automation using PythonPredict sentiments in words and create games and graphicsDetect edges and contours in imagesBuild human face detection and recognition systemUse Python to drive hardwareSense and display real-world dataBuild a neural network module for optical character recognitionBuild movie recommendations systemIn DetailRaspberry 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 Pi's 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 approachWritten 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.
Erscheint lt. Verlag 30.4.2018
Sprache englisch
Themenwelt Informatik Weitere Themen Hardware
Schlagworte Python programming • Raspberry Pi 3 • Raspberry PI 3D Graphics • Raspberry Pi Computers • Raspberry Pi robots
ISBN-10 1-78862-698-2 / 1788626982
ISBN-13 978-1-78862-698-9 / 9781788626989
Haben Sie eine Frage zum Produkt?
EPUBEPUB (Adobe DRM)
Größe: 70,3 MB

Kopierschutz: Adobe-DRM
Adobe-DRM ist ein Kopierschutz, der das eBook vor Mißbrauch schützen soll. Dabei wird das eBook bereits beim Download auf Ihre persönliche Adobe-ID autorisiert. Lesen können Sie das eBook dann nur auf den Geräten, welche ebenfalls auf Ihre Adobe-ID registriert sind.
Details zum Adobe-DRM

Dateiformat: EPUB (Electronic Publication)
EPUB ist ein offener Standard für eBooks und eignet sich besonders zur Darstellung von Belle­tristik und Sach­büchern. Der Fließ­text wird dynamisch an die Display- und Schrift­größe ange­passt. Auch für mobile Lese­geräte ist EPUB daher gut geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen eine Adobe-ID und die Software Adobe Digital Editions (kostenlos). Von der Benutzung der OverDrive Media Console raten wir Ihnen ab. Erfahrungsgemäß treten hier gehäuft Probleme mit dem Adobe DRM auf.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen eine Adobe-ID sowie eine kostenlose App.
Geräteliste und zusätzliche Hinweise

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich