Python Data Types

Data types specify the type of data that a variable can hold. Python has various built-in data types that allow you to work with different kinds of data effectively.


Common Data Types in Python

  1. Numeric Types: Integers, Floating-Point Numbers, and Complex Numbers
  2. Sequence Types: Strings, Lists, and Tuples
  3. Mapping Type: Dictionaries
  4. Set Types: Sets and Frozensets
  5. Boolean Type: Booleans
  6. Binary Types: Bytes, Byte Arrays, and Memory Views




Numeric Types

1. Integers

    Explanation of Code:

    Integers are whole numbers, both positive and negative, without a fractional part.


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    2. Floating-Point Numbers

    Explanation of Code:

    Floating-point numbers are real numbers with a decimal point.


    3. Complex Numbers

    Explanation of Code:

    Complex numbers are written with a real part and an imaginary part.




    Sequence Types

    1. Strings

    Explanation of Code:

    Strings are sequences of characters enclosed in single or double quotes.


    2. Lists

    Explanation of Code:

    Lists are ordered, mutable collections of items.


    3. Tuples

    Explanation of Code:

    Tuples are ordered, immutable collections of items.




    Mapping Type

    1. Dictionaries

    Explanation of Code:

    Dictionaries are unordered collections of key-value pairs.




    Set Types

    1. Sets

    Explanation of Code:

    Sets are unordered collections of unique items.


    2. Frozensets

    Explanation of Code:

    Frozensets are immutable sets.




    Boolean Type

    1. Booleans

    Explanation of Code:

    Booleans represent True or False values.




    Binary Types

    1. Bytes

    Explanation of Code:

    Bytes represent sequences of byte (8-bit) values.


    2. Byte Arrays

    Explanation of Code:

    Byte arrays are mutable sequences of byte values.


    3. Memory Views

    Explanation of Code:

    Memory views allow you to access the internal data of an object that supports the buffer protocol.




    Python Data Types Example Code

    Explanation of Code:

    This example demonstrates how to define and print variables of different data types in Python.




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