Book Image

Advanced TypeScript Programming Projects

By : Peter O'Hanlon
Book Image

Advanced TypeScript Programming Projects

By: Peter O'Hanlon

Overview of this book

With the demand for ever more complex websites, the need to write robust, standard-compliant JavaScript has never been greater. TypeScript is modern JavaScript with the support of a first-class type system, which makes it simpler to write complex web systems. With this book, you’ll explore core concepts and learn by building a series of websites and TypeScript apps. You’ll start with an introduction to TypeScript features that are often overlooked in other books, before moving on to creating a simple markdown parser. You’ll then explore React and get up to speed with creating a client-side contacts manager. Next, the book will help you discover the Angular framework and use the MEAN stack to create a photo gallery. Later sections will assist you in creating a GraphQL Angular Todo app and then writing a Socket.IO chatroom. The book will also lead you through developing your final Angular project which is a mapping app. As you progress, you’ll gain insights into React with Docker and microservices. You’ll even focus on how to build an image classification program with machine learning using TensorFlow. Finally, you’ll learn to combine TypeScript and C# to create an ASP.NET Core-based music library app. By the end of this book, you’ll be able to confidently use TypeScript 3.0 and different JavaScript frameworks to build high-quality apps.
Table of Contents (13 chapters)

Project overview

The project we are going to write in this chapter is the one that excited me the most when I was writing the proposal for this book. I have a long-term love affair with all things AI; the topic fascinates me. With the rise of frameworks such as TensorFlow.js (I'll be shortening this to just TensorFlow), the ability to perform sophisticated machine learning has never been more readily available outside of academia. As I said, this chapter really got me excited, so we aren't going to use just one machine learning operation—we are going to use image classification to determine what is in a picture and we will use pose detection to draw the key points, such as the major joints and major facial landmarks of a person.

Working alongside the GitHub code, this topic should take about an hour to complete and, when you have finished it, it should look...