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developer-roadmap/roadmaps/python-data-analysis/content/working-with-strings@Sg5w8zO2Ji-uDJKEoWey9.md
Arik Chakma 274082fd77 feat: clean roadmap content and sync scripts (#10181)
* refactor: clean to roadmap content

* refactor: move shared helpers into scripts/lib
2026-07-28 05:45:17 +06:00

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# Working with Strings
Python provides a rich set of string methods for manipulating text: `strip()`, `split()`, `replace()`, `upper()`, `lower()`, `startswith()`, `endswith()`, and many more. These methods are applied directly to strings or through Pandas' `.str` accessor for vectorized text cleaning on entire columns.
Visit the following resources to learn more:
- [@official@string — Common string operations](https://docs.python.org/3/library/string.html)
- [@article@Useful String Methods in Python](https://towardsdatascience.com/useful-string-methods-in-python-5047ea4d3f90/)
- [@video@String methods in Python are easy! 〰️](https://www.youtube.com/watch?v=tb6EYiHtcXU)
- [@video@Python Tutorial for Beginners 2: Strings](https://www.youtube.com/watch?v=k9TUPpGqYTo)