Book Image

The JavaScript Workshop

By : Joseph Labrecque, Jahred Love, Daniel Rosenbaum, Nick Turner, Gaurav Mehla, Alonzo L. Hosford, Florian Sloot, Philip Kirkbride
Book Image

The JavaScript Workshop

By: Joseph Labrecque, Jahred Love, Daniel Rosenbaum, Nick Turner, Gaurav Mehla, Alonzo L. Hosford, Florian Sloot, Philip Kirkbride

Overview of this book

If you're looking for a programming language to develop flexible and efficient apps, JavaScript is a great choice. However, while offering real benefits, the complexity of the entire JavaScript ecosystem can be overwhelming. This Workshop is a smarter way to learn JavaScript. It is specifically designed to cut through the noise and help build your JavaScript skills from scratch, while sparking your interest with engaging activities and clear explanations. Starting with explanations of JavaScript's fundamental programming concepts, this book will introduce the key tools, libraries and frameworks that programmers use in everyday development. You will then move on and see how to handle data, control the flow of information in an application, and create custom events. You'll explore the differences between client-side and server-side JavaScript, and expand your knowledge further by studying the different JavaScript development paradigms, including object-oriented and functional programming. By the end of this JavaScript book, you'll have the confidence and skills to tackle real-world JavaScript development problems that reflect the emerging requirements of the modern web.
Table of Contents (17 chapters)

What Is a Regex?

A regex is a sequence of characters that form a pattern that's used to search. Each character in the pattern either has special meaning (a metacharacter) or is meant to match the character itself (a literal). This is perhaps best understood by the following example.

As a demonstration of the difference between pattern matching with conventional coding versus regex techniques, consider the following code for matching phone number format patterns in a conventional way. We'll then rewrite the matching logic using a regex for comparison. To keep things simple, we will only look for phone numbers that match the following pattern, which is common for phone numbers, particularly in the United States:

	[2-9]XX-XXX-XXXX

Here, X can be any digit from 0-9, and the first digit cannot be a zero or one (only 2-9 are permitted). For example, 234-567-8901 is a valid phone number in this format.

You can use the following code to do the matching using conventional...