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Getting Started with Python for the Internet of Things

You're reading from Getting Started with Python for the Internet of Things Leverage the full potential of Python to prototype and build IoT projects using the Raspberry Pi

Product type Course

Published in Feb 2019

Publisher

ISBN-13 9781838555795

Length 732 pages

Edition 1st Edition

Languages

Python

Tools

Raspberry Pi

Concepts

IoT Development

Authors (5):

Tim Cox

Prof. Diwakar Vaish

Sai Yamanoor

Steven Lawrence Fernandes

Srihari Yamanoor

+1 more

View More author details

Table of Contents (37) Chapters

Title Page

Copyright and Credits

About Packt

Contributors

Preface

1. Getting Started with a Raspberry Pi 3 Computer FREE CHAPTER

2. Dividing Text Data and Building Text Classifiers

3. Using Python for Automation and Productivity

4. Predicting Sentiments in Words

5. Detecting Edges and Contours in Images

6. Building Face Detector and Face Recognition Applications

7. Using Python to Drive Hardware

8. Sensing and Displaying Real-World Data

9. Building Neural Network Modules for Optical Character Recognition

10. Arithmetic Operations, Loops, and Blinky Lights

11. Conditional Statements, Functions, and Lists

12. Communication Interfaces

13. Data Types and Object-Oriented Programming in Python

14. File I/O and Python Utilities

15. Requests and Web Frameworks

16. Awesome Things You Could Develop Using Python

17. Robotics 101

18. Using GPIOs as Input

19. Making a Gardener Robot

20. Basics of Motors

21. Bluetooth-Controlled Robotic Car

22. Sensor Interface for Obstacle Avoidance

23. Making Your Own Area Scanner

24. Basic Switching

25. Recognizing Humans with Jarvis

26. Making Jarvis IoT Enabled

27. Giving Voice to Jarvis

28. Gesture Recognition

29. Machine Learning

30. Making a Robotic Arm

1. Other Books You May Enjoy

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Index

Chapter 18. Using GPIOs as Input

In the previous chapter, we understood how GPIOs are used for output. But, as the name suggests, the GPIO can be used for both input and output purposes. In this chapter, we will see how you can go ahead and use these pins to input the data over to Raspberry Pi.

The topics which we will cover in this chapter are:

A deeper dive into GPIOs
Interfacing the PIR sensor
Interfacing the ultrasonic proximity sensor
Interfacing through I2C

The rest of the chapter is locked

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Authors (5)

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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Prof. Diwakar Vaish

Prof. Diwakar Vaish

Prof. Diwakar Vaish is a robotics scientist and the inventor of Manav (India's first indigenous humanoid robot), the world's first mind-controlled wheelchair, brain cloning, and the world's cheapest ventilator. He has also been a guest lecturer at over 13 IITs and various other institutions. He is the founder of A-SET Robotics, a leading robotics research company based in New Delhi.

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Srihari Yamanoor

Srihari Yamanoor

Srihari Yamanoor is a mechanical engineer, working on medical devices, sustainability, and robotics in the San Francisco Bay Area. He completed his undergraduate studies in mechanical engineering from PSG College of Technology, Coimbatore, India and graduate studies in mechanical engineering at Stanford University. He is certified in SolidWorks, simulation, sustainable design, PDM as well as in quality and reliability engineering and auditing. His has a wide range of interests, from DIY, crowdfunding, AI, travelling, photography to gardening and ecology.

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Sai Yamanoor

Sai Yamanoor

Sai Yamanoor is an embedded systems engineer working for a private startup school in the San Francisco Bay Area, where he builds devices that help students achieve their full potential. He completed his undergraduate work in mechatronics engineering from Sri Krishna College of Engineering and Technology, Coimbatore, India and his graduate studies in mechanical engineering at Carnegie Mellon University, Pittsburgh PA. His interests, deeply rooted in DIY and open software and hardware cultures, include developing gadgets and apps that improve the quality of life, Internet of Things, crowdfunding, education, and new technologies. In his spare time, he plays with various devices and architectures, such as the Raspberry Pi, Arduino, Galileo, Android devices and others. Sai has earlier published a book titled Raspberry Pi Mechatronics Projects.

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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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