Regular Expression Explained in Python in Tamil | Regex Expressions Tutorial | Advanced Python

Adi Explains · Beginner ·📐 ML Fundamentals ·2h ago
In this video, I explain Regular Expressions (Regex) in Python in Tamil in a simple, practical, and beginner-friendly way for students, programmers, software engineers, and working professionals who are learning Python programming, automation, data processing, and backend development in Tamil. This video is part of my Advanced Python Tutorial Series in Tamil, where I deeply explain important Python concepts with practical coding examples and real-world use cases. Regular Expressions, commonly called Regex, are one of the most powerful tools in programming for pattern matching, text processing, string manipulation, data extraction, validation, and automation. Whether you are working on web development, data science, machine learning, NLP, cybersecurity, backend engineering, or scripting, Regex is an essential skill every Python developer must learn. In this tutorial, I start from the absolute basics and gradually move towards advanced Regex concepts so that even beginners can clearly understand how Regex works internally and how to use it effectively in real-world projects. In this Tamil Regex tutorial, I explain all important Regex metacharacters and special symbols in detail with practical coding demonstrations by running the code step by step in Python. Instead of only discussing theory, I show how Regex is actually used to parse phone numbers, extract email addresses, search patterns inside strings, validate inputs, and manipulate textual data efficiently. You will learn how powerful pattern matching becomes when combined with Python’s re module. The video covers all major Regex concepts including pattern matching, character classes, quantifiers, anchors, wildcards, groups, capturing groups, alternation, greedy vs non-greedy matching, escape characters, and word boundaries. I also explain important Regex metacharacters such as ., \d, \D, \w, \W, \s, \S, \b, \B, ^, $, *, +, ?, {}, [], (), and | with practical examples and execution of Python code. Every concept
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