Book Image

Full Stack Web Development with Raspberry Pi 3

By : Kamani
Book Image

Full Stack Web Development with Raspberry Pi 3

By: 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

Summary

Throughout this chapter, we modified almost all aspects of our code in order to make it more data friendly.

First, you learned the basics of the Chart.js library. We also reasoned about why we are choosing Chart.js over other similar libraries. We went on to make a sample chart using this library, to be used in the later part of the chapter to integrate with out sensor readings.

To prepare for this, the server was made more data friendly through the use of JSON responses. Our frontend was then optimized to utilize these responses.

We finally made use of Chart.js' ranging and data animation features to make our charts look more to scale and to make them dynamic with respect to displaying new data.

Our frontend now looks much richer and more like a fully featured dashboard. However, there are still a few features that we are missing. If you notice, every time we refresh...