What are Python’s key data types?

Python has several key data types that are foundational to programming in the language. These data types define how data is stored and manipulated, and each type has its own unique characteristics and uses. Here’s an overview of Python’s core data types:

Integers (int): These are whole numbers, both positive and negative. Python handles arbitrary-precision integers, meaning there’s no limit to the size of integers (except for available memory). Example: x = 5

Floating-point numbers (float): These are numbers with decimal points, representing real numbers. They are used for precise calculations involving fractions. Example: y = 3.14

Strings (str): A string is a sequence of characters, typically enclosed in single or double quotes. Strings are immutable, meaning once created, their contents can’t be changed. Example: name = “Alice”

Booleans (bool): This type represents truth values and can only be True or False. It’s used in conditional statements and logical operations. Example: is_valid = True

Lists (list): A list is a mutable collection of ordered items. It can hold elements of different data types and allows for indexing, slicing, and modification. Example: fruits = [“apple”, “banana”, “cherry”]

Tuples (tuple): Similar to lists, but immutable. Tuples are used to store multiple items in a single variable, and their contents cannot be changed after creation. Example: coordinates = (10, 20)

Dictionaries (dict): A dictionary is an unordered collection of key-value pairs. The keys are unique, and each key is mapped to a corresponding value. Example: person = {“name”: “John”, “age”: 30}

Sets (set): A set is an unordered collection of unique elements. It supports mathematical set operations like union, intersection, and difference. Example: numbers = {1, 2, 3, 4}

Understanding these data types is essential for effective Python programming. To learn more in-depth, check out a Python course for beginners that covers these topics in detail and helps build a strong foundation.

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