Regular Expressions (Regex): Full Guide to Text Manipulation

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UnicAI Team

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1. Introduction to Regular Expressions

1. What is Regular Expression.mp4

01:49

2. Why Regular Expression.mp4

02:56

3. How to succeed in this course.mp4

02:25

4. Types of pattern can be matched.mp4

02:57

2. Basic Matching

1. Simple Matching.mp4

05:33

2. Simple Matching and Dot Metacharacter Quiz.html

3. Simple Matching.html

4. Simple Matching Pt. 2.html

5. Simple Matching Pt. 3.html

3. Character Classes

1. Character Classes.mp4

06:32

2. Character Class Quiz.html

3. Predefined Metacharacter & Alternation.mp4

07:14

4. Character Classes.html

5. Character Classes.html

6. Negated Character Class.html

7. Predefined Metacharacters.html

4. Anchors

1. Anchors & Escape Character.mp4

05:05

2. Anchors & Escape Character.html

3. Anchors & Escape Character.html

4. Anchors & Escape Character Pt.2.html

5. Unicode

1. Unicode.html

2. apply unicode.html

3. For Fun!.html

6. Quantifier

1. Quantifiers.mp4

07:03

2. Quantifiers.html

3. Matching Optional Characters.html

4. Greedy vs Lazy Quantifiers.mp4

08:14

5. Possessive Quantifier.html

7. Grouping & Backreferences

1. Grouping.mp4

09:32

2. Nested Groups.mp4

09:44

3. Non-Capturing Groups.mp4

04:49

4. Backreferences.mp4

05:29

5. Named Groups.mp4

06:48

6. Backreference Named Groups.html

Description

Learn Regex from Scratch, Master Pattern Matching, Data Extraction, and Advanced Techniques with Hands-On Exercises

What You'll 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 is this 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.

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

What You Need to Know?

Basic knowledge of Python programming

More details

Description
Regular expressions are a powerful tool for processing and manipulating text. In this comprehensive courseÂ 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!
Who this course is 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.
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

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UnicAI Team

Instructor's Courses

Welcome! I'm Mohamad Raad, and I'm thrilled that you've found your way here.When you join my courses, you'll experience the perfect blend of my real-world expertise and academic knowledge in Computer Science and Mathematics. As an AI enthusiast, I'm passionate about sharing my insights and providing professional guidance in the exciting field of Artificial Intelligence. One of my key strengths as an instructor is my ability to break down complex topics into easily understandable steps, ensuring that you grasp even the most intricate concepts with clarity.

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