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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

Visualizing data with the ThingSpeak platform

We have just learned how to create simple automation using the IFTTT platform. In this section, we will integrate with the ThingSpeak platform to visually display temperature and humidity data that we'll collect using our DHT 11 or DHT 22 sensors. We will be using the DHT 11/DHT 22 circuit we created earlier in this chapter.

ThingSpeak (thingspeak.com) is a data visualization, aggregation, and analysis platform. We will be focusing on the data visualization aspect, and specifically on how to integrate our Raspberry Pi into this platform. 

I've chosen ThingSpeak for our example in this section for a couple of reasons – it's simple and easy to set up and integrate with, and for simple data visualizations like the ones we will be doing, it's free. There are many other visualization platforms available, and they all have their own unique features, pricing structures, and complexities. I've included a few...

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