Book Image

Full Stack Web Development with Raspberry Pi 3

By : Soham Kamani
Book Image

Full Stack Web Development with Raspberry Pi 3

By: Soham Kamani

Overview of this book

Modern web technology and portable computing together have enabled huge advances in the Internet of Things (IoT) space,as well as in areas such as machine learning and big data. The Raspberry Pi is a very popular portable computer for running full stack web applications. This book will empower you to master this rapidly evolving technology to develop complex web applications and interfaces. This book starts by familiarizing you with the various components that make up the web development stack and that will integrate into your Raspberry Pi-powered web applications. It also introduces the Raspberry Pi computer and teach you how to get up and running with a brand new one. Next, this book introduces you to the different kinds of sensor you’ll use to make your applications; using these skills, you will be able to create full stack web applications and make them available to users via a web interface. Later, this book will also teach you how to build interactive web applications using JavaScript and HTML5 for the visual representation of sensor data. Finally, this book will teach you how to use a SQLite database to store and retrieve sensor data from multiple Raspberry Pi computers. By the end of this book you will be able to create complex full stack web applications on the Raspberry Pi 3 and will have improved your application’s performance and usability.
Table of Contents (13 chapters)
2
Getting Up-and-Running with Web Development on the Raspberry Pi

Integrating sensor data into our charts

The goal of this section is to have our sensor data reflect in our charts. We know that readings are measured every two seconds. This means that we will also have to update our charts every two seconds. This is a slightly different situation when compared to the sample chart we created earlier because there are some assumptions that we didn't consider:

  • The constant readings from the sensor require that our chart be dynamic. The values plotted have to change every time a new reading comes.
  • We must choose a sensible scale. Our sample chart had values from 12 to 23. In the real world, temperature and humidity readings rarely change that often or that drastically, especially when we are measuring on a per-second timescale.

Fortunately, the Chart.js library has features to take care of both of these new findings. Let's modify our...