In Python, data types represent the type or category of data that a variable can hold. Remember, Python is a dynamically-typed language, meaning you don't need to explicitly declare the type of a variable; the interpreter infers it based on the assigned value.

Here are some common data types in Python:

Integer (int): Represents whole numbers without any decimal points.

Float (float): Represents numbers with decimal points.

String (str): Represents a sequence of characters enclosed in single (') or double (") quotes.

Boolean (bool): Represents a binary value of either True or False.

List: Represents an ordered collection of items. Created using square brackets ([]).

Tuple: Similar to a list but is immutable (cannot be modified after creation). Created using parentheses (()).

Set: Represents an unordered collection of unique items. Created using curly braces ({}).

Dictionary (dict): Represents a collection of key-value pairs. Created using curly braces ({}) with key-value pairs separated by colons.

NoneType (None): Represents the absence of a value or a null value. Used when a variable doesn't have any assigned value.

Understanding data types is crucial for writing effective and error-free Python code. Each data type has its specific use cases, and choosing the right one is essential for proper data manipulation and program functionality.

Variables and Data Types