Exploring Data Types in Python: Strings, Integers, and Floats

In the previous lesson, we introduced data types, which classify data in programming languages like Python. Similar to categorizing living and non-living things, data types help organize text and numbers. Textual data uses quotation marks, while numerical data does not. We covered four fundamental data types: string, integer, and float, the latter representing numbers with decimals. This highlights Python's ability to classify different types of data effectively.