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Python data types are classifications or categories that define the type of data a variable can hold. These data types include:
Integers (int): Whole numbers without a fractional part.
Floats (float): Numbers with a decimal point or in exponential form, representing real numbers.
Strings (str): Sequences of characters, such as text.
Lists (list): Ordered collections of items that can be of different data types.
Tuples (tuple): Ordered, immutable (unchangeable) collections of items.
Dictionaries (dict): Unordered collections of key-value pairs, where each key maps to a value.
Sets (set): Unordered collections of unique elements.
Booleans (bool): Represents either True or False.
NoneType (None): Represents the absence of a value.
These data types are fundamental building blocks in Python, and they help determine how data is stored, processed, and manipulated in Python programs.
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