Real data comes in messy. Extra spaces. Wrong case. Broken formats. These 5 Python string methods fix it every time: ① strip() → removes spaces from both ends “ Aarti “ → “Aarti” ② lower() → makes text consistent “Delhi” == “delhi” → False (until you lowercase both) ③ replace() → swap any character “₹1,299.00”.replace(“₹”,””).replace(“,”,””) → “1299.00” ④ split() → break string into a list “Aarti Sinha Delhi”.split() → [‘Aarti’, ‘Sinha’, ‘Delhi’] ⑤ join() → put a list back into a string “-“.join([‘2025’,’04’,’18’]) → ‘2025-04-18’ Bonus: chain them. “ AARTI_SINHA “.strip().lower().replace(“_”,” “) → “aarti sinha” Three methods. One line. Clean data. Day 8 of learning Python for data science — documenting everything so you have a shortcut I didn’t. Which string method do you use most? Drop it below. #Python #PythonStringMethods #DataCleaning #LearnPython #DataScience PythonForBeginners aartii_py DataScienceIndia WomenInTech