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

Adding new features - the ability to view readings from a custom time period

Adding persistence gives us a very small end result even though there is a lot going on under the hood. Now is the best time to make use of the power we have with SQLite to add more features to our application.

Adding the required APIs

Just like in the previous section, we will need to start by adding the APIs to get the readings and their average for a certain time period:

    app.get('/temperature/range', function (req, res) {
      /**
       * Here, the "start" and "end" datetimes for the range
of readings are * expected to be received through the query parameters.
This is spllied as part * of...