Learn about different Python data types from "summary" of Python For Dummies by Stef Maruch,Aahz Maruch
Python provides several built-in data types that you can use to store different kinds of information. These data types include integers, floats, strings, lists, tuples, sets, and dictionaries. Integers are whole numbers, such as 42 or -10, without any decimal point. Floats, on the other hand, are numbers with decimal points, like 3.14 or -0.001. Strings are sequences of characters enclosed in single or double quotes, like 'hello' or "world". Lists are ordered collections of items that can be of different types, enclosed in square brackets and separated by commas, such as [1, 'apple', True]. Tuples are similar to lists but are immutable, meaning that their elements cannot be changed after they are created, and they are enclosed in parentheses. Sets are unordered collections of unique elements, enclosed in curly braces, such as {1, 2, 3}. Dictionaries are collections of key-value pairs, where each key is associated with a value, enclosed in curly braces and separated by colons, like {'name': 'Alice', 'age': 30}. Understanding these different data types is essential for writing effective Python code, as each type has its own properties and methods that can be used to manipulate and work with the data stored in them. By learning about these data types, you will be able to choose the most appropriate one for your specific needs and perform operations on them efficiently.
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