Getting Started with Python for the Internet of Things

Cox, Tim, Fernandes, Dr Steven Lawrence, Yamanoor, Sai

  • 出版商: Packt Publishing
  • 出版日期: 2019-02-25
  • 售價: $1,680
  • 貴賓價: 9.5$1,596
  • 語言: 英文
  • 頁數: 732
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 183855579X
  • ISBN-13: 9781838555795
  • 相關分類: Python物聯網 IoT

下單後立即進貨 (約1~2週)



Key Features

  • Create your own Pi-Rover or Pi-Hexipod robots
  • Develop practical applications in Python using Raspberry Pi
  • Build your own Jarvis, a highly advanced computerized AI

Book Description

This Learning Path takes you on a journey in the world of robotics and teaches you all that you can achieve with Raspberry Pi and Python.

It teaches you to harness the power of Python with the Raspberry Pi 3 and the Raspberry Pi zero to build superlative automation systems that can transform your business. You will learn to create text classifiers, predict sentiment in words, and develop applications with the Tkinter library. Things will get more interesting when you build a human face detection and recognition system and a home automation system in Python, where different appliances are controlled using the Raspberry Pi. With such diverse robotics projects, you'll grasp the basics of robotics and its functions, and understand the integration of robotics with the IoT environment.

By the end of this Learning Path, you will have covered everything from configuring a robotic controller, to creating a self-driven robotic vehicle using Python.

  • Raspberry Pi 3 Cookbook for Python Programmers - Third Edition by Tim Cox, Dr. Steven Lawrence Fernandes
  • Python Programming with Raspberry Pi by Sai Yamanoor, Srihari Yamanoor
  • Python Robotics Projects by Prof. Diwakar Vaish

What you will learn

  • Build text classifiers and predict sentiment in words with the Tkinter library
  • Develop human face detection and recognition systems
  • Create a neural network module for optical character recognition
  • Build a mobile robot using the Raspberry Pi as a controller
  • Understand how to interface sensors, actuators, and LED displays work
  • Apply machine learning techniques to your models
  • Interface your robots with Bluetooth

Who this book is for

This Learning Path is specially designed for Python developers who want to take their skills to the next level by creating robots that can enhance people’s lives. Familiarity with Python and electronics will aid understanding the concepts in this Learning Path.


  1. Getting Started with a Raspberry Pi 3 Computer
  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