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What are Python basic data types

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Release: 2023-11-03 11:49:31
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Python basic data types include integers, floating point numbers, Boolean values, strings, tuples, lists, sets, and dictionaries. Detailed introduction: 1. Integer (int): used to represent integer values, such as 1, 2, -3, etc.; 2. Floating point (float): used to represent real values ​​with decimal parts, such as 3.14, -0.5, etc. ; 3. Boolean value (bool): represents true or false, with only two values: True and False; 4. String (str): used to represent text information, consisting of a series of characters, etc.

What are Python basic data types

Operating system for this tutorial: Windows 10 system, Dell G3 computer.

Basic data types in Python refer to built-in, immutable data types, which are the basis for building other complex data types. The basic data types in Python include the following:

Integer (int): used to represent integer values, such as 1, 2, -3, etc.

Floating point number (float): used to represent real values ​​with decimal parts, such as 3.14, -0.5, etc.

Boolean value (bool): represents true or false, there are only two values, True and False.

String (str): used to represent text information, consisting of a series of characters, such as "Hello World".

Tuple: Represents an ordered immutable sequence that can contain elements of different types, such as (1, 2, "three").

List (list): Represents an ordered variable sequence, which can contain elements of different types, such as [1, 2, "three"].

Set: Represents an unordered set of unique elements, excluding duplicate elements, such as {1, 2, 3}.

Dictionary (dict): represents the mapping relationship of key-value pairs, each key is associated with a value, such as {"name": "Alice", "age": 25}.

These basic data types are built-in in Python and can be used directly without the need to import additional modules. They have different characteristics and operating methods to meet different data processing needs. In Python, values ​​can be assigned to variables through assignment operations, converting data types as needed.

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