How are different data types classified in Python and what are the main categories they are divided into?

In Python, data types are classified into several categories:

1. Primitive types — basic types that store individual values:

   • int — integers
   • float — floating-point numbers
   • bool — boolean values (True/False)
   • str — strings

2. Collections (containers) — structures for storing multiple elements:

   • list — mutable ordered list
   • tuple — immutable ordered set
   • set — unordered set of unique elements
   • dict — key-value mapping

3. Special types:

   • NoneType — type of the None value
   • complex — complex numbers

4. User-defined types — classes and objects created by the user.

Types can also be divided based on mutability properties:

• Mutable: list, dict, set
• Immutable: int, float, bool, str, tuple

This division is important for understanding object behavior during assignment and passing to functions.