Data Types In Python

In Python, data types are used to classify one particular type of data, determining the values that you can assign to the type and the operations you can perform on it.

Python has several built-in data types that can be used to store different types of data. Some of the most commonly used data types in Python are:

Integers:

These are whole numbers, positive or negative, without a decimal point. For example 10, -5, 0

Floating-point numbers:

These are numbers with a decimal point. For example 3.14, -2.5, 0.0

Strings:

These are sequences of characters, enclosed in quotes. They can be single quotes (‘’) or double quotes (“”). For example: ‘hello’, “world”, “123”

Booleans:

These are values that are either True or False. They are often used to represent the truth value of a condition. For example: True, False Lists: These are ordered sequences of values that can be of any data type.

Lists:

Lists are created using square brackets []. For example: [10, ‘hello’, 3.14]

Tuples:

These are also ordered sequences of values, but they are immutable, meaning that you cannot change the values once they are created. Tuples are created using parentheses (). For example: (10, ‘hello’, 3.14)

Dictionaries:

These are unordered collections of key-value pairs. They are created using curly braces {}. For example: {‘name’: ‘John’, ‘age’: 25, ‘city’: ‘New York’}

These are the most commonly used data types in Python, but there are many more, such as sets, frozen sets, and more. Do you have any questions about any of these data types?

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