Regex Guide with Python

Welcome to the Regex Guide with Python! This repository is designed to help data scientists and developers quickly get up to speed with using regular expressions in Python.

Overview

Regular Expressions (Regex) are powerful tools for text processing. This guide covers the essential syntax, practical examples, and advanced topics to enhance your text manipulation skills.

Contents

1. Introduction to Regex

   • Basics of regular expressions and their applications.

2. Regex Syntax and Patterns

   • Detailed explanations of regex components:
     • Basic Characters
     • Character Classes
     • Quantifiers
     • Anchors
     • Groups and Capturing
     • Special Sequences
     • Lookahead and Lookbehind

3. Using Regex in Python

   • How to use the re module in Python:
     • Common functions like search, match, findall, and sub
     • Compiling regex patterns

4. Practical Examples

   • Real-world use cases:
     • Data validation
     • Text extraction
     • Data cleaning

5. Advanced Topics

   • Performance considerations
   • Debugging regex patterns

Getting Started

1. Clone the repository:

   https://github.com/Naviden/Regex-For-Python.git
   cd Regex-For-Python

2. Explore the guide:

   • Start with the README.md and follow the links to detailed markdown files for each topic.

Table of Contents

1. Introduction to Regex
2. Regex Syntax and Patterns
   • Basic Characters
   • Character Classes
   • Quantifiers
   • Anchors
   • Groups and Capturing
   • Special Sequences
   • Lookahead and Lookbehind
3. Using Regex in Python
   • The re Module
   • Basic Functions
   • Compiling Regex
4. Practical Examples
   • Data Validation
   • Text Extraction
   • Data Cleaning
5. Advanced Topics
   • Performance Considerations
   • Debugging Regex

Contributing

Contributions are welcome! If you have improvements or new examples, please feel free to submit a pull request.