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Raspberry Pi 3 Cookbook for Python Programmers

You're reading from Raspberry Pi 3 Cookbook for Python Programmers Unleash the potential of Raspberry Pi 3 with over 100 recipes

Product type Paperback

Published in Apr 2018

Publisher

ISBN-13 9781788629874

Length 552 pages

Edition 3rd Edition

Languages

Python

Tools

Raspberry Pi

Concepts

Single Board Computers

Authors (2):

Steven Lawrence Fernandes

Tim Cox

View More author details

Table of Contents (17) Chapters

Preface

1. Getting Started with a Raspberry Pi 3 Computer

2. Dividing Text Data and Building Text Classifiers FREE CHAPTER

3. Using Python for Automation and Productivity

4. Predicting Sentiments in Words

5. Creating Games and Graphics

6. Detecting Edges and Contours in Images

7. Creating 3D Graphics

8. Building Face Detector and Face Recognition Applications

9. Using Python to Drive Hardware

10. Sensing and Displaying Real-World Data

11. Building Neural Network Modules for Optical Character Recognition

12. Building Robots

13. Interfacing with Technology

14. Can I Recommend a Movie for You?

15. Hardware and Software List

16. Other Books You May Enjoy

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Introduction

In this chapter, we will learn how to collect analog data from the real world and process it so we can display, log, graph, and share the data and make use of it in our programs.

We will extend the capabilities of the Raspberry Pi by interfacing with analog-to-digital converters (ADCs), LCD alphanumeric displays, and digital port expanders using Raspberry Pi's GPIO connections.

Note

Be sure to check out Appendix, Hardware and Software List, which lists all the items used in this chapter and the places you can obtain them from.

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Authors (2)

Steven Lawrence Fernandes

Steven Lawrence Fernandes

Dr. Steven Lawrence Fernandes holds a bachelor's degree in electronics and communication engineering, a master's degree in microelectronics, and a Ph.D. in 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). has post the doctoral research experience working in 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 Young Scientist Award by Vision Group on Science and Technology in 2014. He has also received a research grant from the Institution of Engineers.

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Tim Cox

Tim Cox

Tim Cox works as a software engineer and is passionate about programming. He holds a bachelor's degree in electronics and electrical engineering and has a rich career in developing embedded software for a range of industries. To support the vision behind the Raspberry Pi and to encourage a new generation of engineers, Tim co-founded the MagPi magazine (the official magazine for the Raspberry Pi). He also produces electronic kits through his site PiHardware.

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