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Practical Python Programming for IoT

You're reading from   Practical Python Programming for IoT Build advanced IoT projects using a Raspberry Pi 4, MQTT, RESTful APIs, WebSockets, and Python 3

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Product type Paperback
Published in Nov 2020
Publisher Packt
ISBN-13 9781838982461
Length 516 pages
Edition 1st Edition
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Author (1):
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Gary Smart Gary Smart
Author Profile Icon Gary Smart
Gary Smart
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Table of Contents (20) Chapters Close

Preface 1. Section 1: Programming with Python and the Raspberry Pi
2. Setting Up your Development Environment FREE CHAPTER 3. Getting Started with Python and IoT 4. Networking with RESTful APIs and Web Sockets Using Flask 5. Networking with MQTT, Python, and the Mosquitto MQTT Broker 6. Section 2: Practical Electronics for Interacting with the Physical World
7. Connecting Your Raspberry Pi to the Physical World 8. Electronics 101 for the Software Engineer 9. Section 3: IoT Playground - Practical Examples to Interact with the Physical World
10. Turning Things On and Off 11. Lights, Indicators, and Displaying Information 12. Measuring Temperature, Humidity, and Light Levels 13. Movement with Servos, Motors, and Steppers 14. Measuring Distance and Detecting Movement 15. Advanced IoT Programming Concepts - Threads, AsyncIO, and Event Loops 16. IoT Visualization and Automation Platforms 17. Tying It All Together - An IoT Christmas Tree 18. Assessments 19. Other Books You May Enjoy

Comparing the RESTful API and Web Socket servers

A RESTful-based API is conceptually similar to design, develop, and test, and are more commonly found across the internet where a one-way request/response data exchange is needed.

Here are some defining characteristics of this approach:

  • The communication protocol is built around HTTP methods with GET, POST, PUT, and DELETE being the most common.
  • The protocol is half-duplex in the form of request-response. The client makes a request and the server responds. The server cannot initiate a request to a client.
  • We have options including curl on the command line and GUI tools such as Postman to test and development RESTful APIs.
  • We can use a common web browser to test HTTP GET API endpoints
  • In Python, we can use the Flask-RESTful extension to help us to build a RESTful API server. We model endpoints as Python classes that have class methods such as .get() and .post() that match HTTP request methods.
  • For a web page client, we can use a library...
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