Python Regular Expressions: Finding Doubled Words

Locating accidental double-typed words in a body of text is a classic data-cleaning challenge. To solve this efficiently, you need a solid grasp of pattern matching and text manipulation. This text-based course guides you through building precise patterns to automate text cleanup using Python's standard library. You will transition from manually scanning text files to writing robust scripts that identify and resolve grammatical repetitions automatically. By understanding how the regex engine processes text, you will write cleaner, faster, and more maintainable code. What you'll learn: - Understand the foundational mechanics of regular expressions and pattern matching - Configure search patterns using capturing groups and backreferences - Apply the Python re module to search, match, and modify raw text data - Build reusable scripts to clean up double words and common typographical errors - Practice modern Python conventions, including type hints and clean string formatting Starting with basic terminology and core regex syntax, you will progress through structured text examples that build your confidence in parsing complex strings. Each section reinforces your understanding with practical, written code walkthroughs. This course is designed for beginners who have a basic understanding of Python variables and strings. No prior experience with regular expressions is required. Start reading today to write cleaner Python code and automate your text-processing tasks.