Regular Expressions (Regex) with JavaScript Easy and Fast!

Regular Expressions (Regex) with JavaScript – Easy and Fast!, available at $69.99, has an average rating of 4.4, with 70 lectures, 4 quizzes, based on 22 reviews, and has 556 subscribers.

You will learn about Data Validation – Validate Input and Protect from Security Vulnerabilities Pattern Detection – Look for occurrences of a pattern using a concise language Data Preparation – Locate and transform data of interest Learn Techniques to Write High-Performance Patterns Hands-on projects This course is ideal for individuals who are Full Stack Developers or Front End Developers or System Administrators It is particularly useful for Full Stack Developers or Front End Developers or System Administrators.

Enroll now: Regular Expressions (Regex) with JavaScript – Easy and Fast!

Summary

Title: Regular Expressions (Regex) with JavaScript – Easy and Fast!

Price: $69.99

Average Rating: 4.4

Number of Lectures: 70

Number of Quizzes: 4

Number of Published Lectures: 70

Number of Published Quizzes: 4

Number of Curriculum Items: 74

Number of Published Curriculum Objects: 74

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Data Validation – Validate Input and Protect from Security Vulnerabilities

Pattern Detection – Look for occurrences of a pattern using a concise language

Data Preparation – Locate and transform data of interest

Learn Techniques to Write High-Performance Patterns

Hands-on projects

Who Should Attend

Full Stack Developers

Front End Developers

System Administrators

Target Audiences

Full Stack Developers

Front End Developers

System Administrators

Hi, and welcome to the JavaScript Regular Expressions (regex) with Projects!

Regular Expression (regex) is a pattern detection language – they are typically used to search patterns in text, extract matching values, and data validation.

Regex is supported in many programming languages, including Python, C#, JavaScript, Perl, SQL, and more.

This course is designed to provide hands-on experience with regular expressions through various exercises and projects

I am Chandra Lingam, and I am your instructor.

Here is what you will learn in this course

Input Validation

Cross-Check Input and Protect from Security Vulnerabilities

Pattern Detection

Look for occurrences of a pattern using a concise language

Data Preparation

Use regex to locate and transform data of interest

High Performance

Learn Techniques to Write High-Performance Patterns

Hands-On

You will learn how to apply the regex for distinctly different data sets – unstructured log data, IoT sensor data, and parsing medical test data in HTML format

Regex knowledge is very useful in the Cloud

Several cloud services use regex for advanced configuration.

With the AWS web application firewall, you can allow or deny traffic based on a pattern

In Google Workspace, you can use regex for content filtering, Gmail route configuration, and to searchfor content in google docs

In Google Analytics, you can use regex to locate and transform matching data in your data set

Regex is also supported by several products such as SAP, Oracle, and SQL Server

Regex Knowledge is transferable to many programming languages!

Included Resources: a High-Quality Cheat Sheet for Regex Language, Interactive Tool to Learn Regex, GitHubRepo for Source Code Distribution

Happy Learning

Chandra Lingam

Cloud Wave LLC

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Source Code Setup

Lecture 3: Increase the speed of learning

Chapter 2: JavaScript Regex Language

Lecture 1: Downloadable Resources

Lecture 2: Interactive Tool – Visually Observe and Build Regex

Lecture 3: Single Character Patterns

Lecture 4: Anchors

Lecture 5: Character Classes

Lecture 6: Quantifiers

Lecture 7: HTML Forms Input Validation

Lecture 8: Exercise – USA Zip code

Lecture 9: HTML Forms Input Validation Solution

Chapter 3: JavaScript Regex Engine – Behind the scenes

Lecture 1: Downloadable Resources

Lecture 2: One character at a time

Lecture 3: Left to Right

Lecture 4: Lab – Left to Right

Lecture 5: Greedy, Lazy and Backtracking Analogy

Lecture 6: Greedy, Lazy and Backtracking Examples

Lecture 7: Lab – Greedy, Lazy and Backtracking

Lecture 8: Groups, Backreference, Replacement

Lecture 9: Lab – Groups, Backreference, Replacement

Lecture 10: Look Ahead

Lecture 11: Look Behind

Lecture 12: Exercise – Currency Symbol

Lecture 13: Solution – Currency Symbol

Lecture 14: Exercise – Match a number

Lecture 15: Solution – Match a number

Lecture 16: Exercise – List all cars not made by Honda

Lecture 17: Solution – List all cars not made by Honda

Lecture 18: Exercise – Webserver Log Parser

Lecture 19: Solution – Webserver Log Parser

Lecture 20: Exercise – Filter by price

Lecture 21: Solution – Filter by price

Lecture 22: Exercise – List cars that meet specified criteria

Lecture 23: Solution – List cars that meet specified criteria

Lecture 24: Exercise – Password Validation

Lecture 25: Solution – Password Validation

Chapter 4: Regex Performance

Lecture 1: Downloadable Resources

Lecture 2: Exponential degradation – example of bad patterns and performance implication

Lecture 3: How to correct performance issues and optimize pattern

Chapter 5: Coding with JavaScript Regex

Lecture 1: Coding with Regex

Lecture 2: Development Environment, String and RegExp

Lecture 3: String Search

Lecture 4: Unit Testing

Lecture 5: Match, MatchAll, Groups

Lecture 6: Find-Replace, Split

Lecture 7: RegExp – Exec, Test

Lecture 8: Learn Regex Interactive Tool

Chapter 6: Project 1 – Log Parser

Lecture 1: Log Data Parser Objective

Lecture 2: Exercise 1 – Write a pattern to capture header information

Lecture 3: Exercise 2 – Write a pattern to capture error message

Lecture 4: Exercise 3 – Write a pattern to capture metrics

Lecture 5: Solution – How to write log parser regex patterns

Lecture 6: Solution – Log Data to JSON

Chapter 7: Project 2 – IoT Sensor Data

Lecture 1: Sensor Data Parser Objective

Lecture 2: Exercise 1 – Capture Date Value

Lecture 3: Exercise 2 – Capture Temperature and Humidity Value

Lecture 4: Solution – How to write sensor data patterns

Lecture 5: Solution – Sensor Data to JSON

Chapter 8: Project 3 – Health Care Data

Lecture 1: Health care Data Parser Objective

Lecture 2: Exercise 1- Cleanup pattern

Lecture 3: Exercise 2 – Write a pattern to capture a row

Lecture 4: Exercise 3 – Write a pattern to capture a cell

Lecture 5: Solution – How to write health care data patterns

Lecture 6: Solution – Health care data to JSON

Chapter 9: Interesting Question and Answers from the Discussion Forum

Lecture 1: How to Remove Embedded Comma Inside Double Quotes

Lecture 2: How to Extract Unit Number from Postal Address

Lecture 3: How to split text that uses comma and/or newline as separators

Chapter 10: Conclusion

Lecture 1: Bonus: SQL for Data Scientists, Data Engineers and Developers?

Lecture 2: Congratulations!

Instructors

Chandra Lingam
Compute With Cloud Inc

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 1 votes

4 stars: 9 votes

5 stars: 12 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!