Python Regex Tutorial | Regex Patterns & Google Play Store Data Cleaning | Urdu / Hindi
This is Python Programming Lecture 46. In this lecture, we discussed the most important Python Regex (Regular Expressions) patterns and applied them to clean the App column of the Google Play Store Dataset using Pandas.
Regex is one of the most powerful tools for data cleaning, text preprocessing, data analysis, and data science projects. We learned how to match characters, digits, spaces, words, and custom patterns using regular expressions in Python.
📌 Topics Covered in This Lecture:
✅ Introduction to Python Regex
✅ Dot (.) wildcard pattern
✅ Character ranges [a-z], [A-Z], [0-9]
✅ Character sets like [abc]
✅ \d (digit pattern)
✅ \w (word character pattern)
✅ \s (whitespace pattern)
✅ \D, \W, \S explained
✅ Pattern matching using Regular Expressions
✅ Data cleaning using Regex and Pandas
✅ Cleaning the App column of the Google Play Store Dataset
✅ Real-world data preprocessing techniques
🎯 After watching this lecture, you'll be able to use Python Regex for Data Cleaning, Text Processing, and Data Preprocessing, which are essential skills for Data Science, Machine Learning, and Data Analysis.
📚 Explained step-by-step in Urdu with practical examples and real dataset implementation.
👍 Like, share, and subscribe for more Python Regex Tutorials, Pandas Data Cleaning Projects, Data Analysis, and Data Science content.
#pythonforbeginners #pythonprogramming #learnpythonprogramming #learnpythonprogramming #pythonforaiandds #pythonprogrammingforbeginners #learnpython #pythonconcepts #pythonconcept #pythontutorial #regex #pandas #datacleaning #datascience #dataanalysis #pythonurdu #learnpython