Regular Expressions (Regex): Full Guide to Text Manipulation

Regular Expressions (Regex): Full Guide to Text Manipulation, available at $19.99, has an average rating of 4.65, with 28 lectures, 22 quizzes, based on 51 reviews, and has 10037 subscribers.

You will learn about Understand what is RegEx (Regular Expressions). Understand the fundamentals of regular expressions, including the syntax, character classes, quantifiers, and anchors. Learn how to use the re module in Python to compile and execute regular expressions, including how to match and search for patterns, replace text, and more… Explore advanced regular expression concepts, such as grouping and capturing, lookahead and lookbehind assertions, backreferences, and possessive quantifiers. Learn best practices for writing efficient and readable regular expressions, including how to avoid common pitfalls. Apply Regular Expressions to a final project text analysis tool, and gain practical experience using regular expressions in a real-world context. This course is ideal for individuals who are Anybody who works with text data and wants to learn how to use regular expressions to improve their productivity and efficiency in manipulating text. or Data manipulation and extraction or Data analysts or data scientists or Students or researchers in the fields of linguistics or natural language processing or Business analysts or marketers or NLP practitioners It is particularly useful for Anybody who works with text data and wants to learn how to use regular expressions to improve their productivity and efficiency in manipulating text. or Data manipulation and extraction or Data analysts or data scientists or Students or researchers in the fields of linguistics or natural language processing or Business analysts or marketers or NLP practitioners.

Enroll now: Regular Expressions (Regex): Full Guide to Text Manipulation

Summary

Title: Regular Expressions (Regex): Full Guide to Text Manipulation

Price: $19.99

Average Rating: 4.65

Number of Lectures: 28

Number of Quizzes: 22

Number of Published Lectures: 18

Number of Published Quizzes: 21

Number of Curriculum Items: 51

Number of Published Curriculum Objects: 39

Original Price: $44.99

Quality Status: approved

Status: Live

What You Will Learn

Understand what is RegEx (Regular Expressions).
Understand the fundamentals of regular expressions, including the syntax, character classes, quantifiers, and anchors.
Learn how to use the re module in Python to compile and execute regular expressions, including how to match and search for patterns, replace text, and more…
Explore advanced regular expression concepts, such as grouping and capturing, lookahead and lookbehind assertions, backreferences, and possessive quantifiers.
Learn best practices for writing efficient and readable regular expressions, including how to avoid common pitfalls.
Apply Regular Expressions to a final project text analysis tool, and gain practical experience using regular expressions in a real-world context.

Who Should Attend

Anybody who works with text data and wants to learn how to use regular expressions to improve their productivity and efficiency in manipulating text.
Data manipulation and extraction
Data analysts or data scientists
Students or researchers in the fields of linguistics or natural language processing
Business analysts or marketers
NLP practitioners

Target Audiences

Anybody who works with text data and wants to learn how to use regular expressions to improve their productivity and efficiency in manipulating text.
Data manipulation and extraction
Data analysts or data scientists
Students or researchers in the fields of linguistics or natural language processing
Business analysts or marketers
NLP practitioners

Regular expressions or Regex for short are a powerful tool for processing and manipulating text. In this comprehensive course you will learn how to use Regular Expressions to their full potential, allowing you to efficiently search, match, and replace text in a variety of applications

This course is designed for beginners and intermediate learners, whether you’re just starting your coding journey or already have some Regex experience. We’ll provide you with a structured learning path, practical examples, and hands-on exercises to ensure that you not only grasp the concepts but also gain the confidence to use Regular Expressions effectively in your projects

We’ll start with an introduction to Regular Expressions, covering the basic syntax and common patterns matched by Regular Expressions. You’ll then dive into using Regular Expressions, including character classes, special characters, quantifiers, and anchors

Next, you’ll explore Python’s re module, a powerful toolkit for working with Regular Expressions. You’ll learn how to compile Regular Expressions, match patterns, search for patterns, and replace patterns, all while gaining practical, hands-on experience

As you progress, the course delves into advanced Regular Expression concepts, including grouping and capturing, lookahead and lookbehind assertions, backreferences, subroutines and recursion, possessive quantifiers, and Unicode and internationalization

Beyond the technical aspects, this course emphasizes best practices for writing efficient and readable Regular Expressions and offers invaluable tips for testing and debugging

To apply your newfound knowledge, you’ll undertake a project that utilizes Regular Expressions. This could involve web scraping, text processing, or another real-world application

By the end of this course, you’ll have a deep understanding of Regular Expressions, equipping you to tackle complex text processing tasks with confidence. Join us on this journey to become a Regular Expressions master!

Course Curriculum

Chapter 1: Introduction to Regular Expressions

Lecture 1: What is Regular Expression (Regex)?

Lecture 2: Why Regular Expression?

Lecture 3: How to succeed in this course

Lecture 4: Types of pattern can be matched

Chapter 2: Basic Matching

Lecture 1: Simple Matching

Lecture 2: Multiple Choice Quizzes: Tips for Success

Chapter 3: Character Classes

Lecture 1: Character Classes

Lecture 2: Predefined Metacharacter & Alternation

Chapter 4: Anchors

Lecture 1: Anchors & Escape Character

Lecture 2: Caret Inside and Outside the Character Class

Chapter 5: Unicode

Chapter 6: Quantifier

Lecture 1: Quantifiers

Lecture 2: Greedy vs Lazy Quantifiers

Chapter 7: Grouping & Backreferences

Lecture 1: Grouping

Lecture 2: Nested Groups

Lecture 3: Non-Capturing Groups

Lecture 4: Backreferences

Lecture 5: Named Groups

Lecture 6: Backreference Named Groups

Instructors

UnicAI Team
UnicAI Team

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 2 votes
4 stars: 15 votes
5 stars: 34 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!

Menu