Python offers a variety of built-in data types to handle different kinds of data. Here's a quick guide:

  • 🧮 Integer (int): Represents whole numbers like 1, 2, or -3. Use it for counting or arithmetic operations.

    integer

  • 📜 String (str): Stores text data, e.g., "Hello, World!". Strings are immutable and can be manipulated with methods like .upper() or .split().

    string

  • 🧺 List (list): Ordered, mutable collections of items, e.g., [1, 2, 3]. Lists support dynamic resizing and indexing.

    list

  • 📘 Dictionary (dict): Key-value pair structures, e.g., {"name": "Alice", "age": 25}. Dictionaries are ideal for data lookup.

    dictionary

  • 🧱 Tuple (tuple): Similar to lists but immutable, e.g., (10, 20, 30). Tuples are safe for data that shouldn’t change.

    tuple

  • 🧾 Set (set): Unordered collection of unique elements, e.g., {1, 2, 3}. Sets are great for membership testing.

    set

For deeper exploration, check our Python Tutorial to understand how these types are used in practice! 🚀