Python has several built-in data types, including integers, floats, strings, lists, tuples, sets, and dictionaries. Each type has its own characteristics and use cases.

Python offers a variety of built-in data types that cater to different programming needs. Understanding these data types is essential for effective coding. Here are the main built-in data types:

• Integers (int): Whole numbers, e.g., 5, -10.
• Floats (float): Floating-point numbers (decimals), e.g., 3.14, -0.001.
• Strings (str): Sequences of characters, e.g., 'Hello', "World".
• Lists (list): Ordered, mutable collections that can hold mixed types, e.g., [1, 2.5, 'hello'].
• Tuples (tuple): Ordered, immutable collections, e.g., (1, 2, 3).
• Sets (set): Unordered collections of unique elements, e.g., {1, 2, 3}.
• Dictionaries (dict): Key-value pairs, where keys are unique, e.g., {'name': 'Alice', 'age': 25}.

Each data type has its own methods and properties, making them suitable for specific tasks. For example, lists support indexing and slicing, while dictionaries provide quick access to values via keys. By understanding these data types and their characteristics, you can choose the appropriate type for your data structures, enhancing the effectiveness of your code.