Python is a dynamically typed language, which means that variables can hold different types of data at different times in the program's execution. In this blog, we will discuss the various data types available in Python.

1. Numbers

        Python has three types of numeric data types: integers, floating-point numbers, and complex numbers.
  • Integers: These are whole numbers, positive or negative, without decimal points. For example, 1, 2, 3, -4, -5, etc.
  • Floating-Point Numbers: These are numbers with decimal points or numbers in exponential form. For example, 2.5, 3.14, 1.2e-5, etc.
  • Complex Numbers: These are numbers with a real part and an imaginary part. For example, 3+4j, 1-2j, etc.

Strings

        Strings are sequences of characters enclosed in either single or double quotes.
For example:
    name = "John"                                                    
    sentence = "The quick brown fox jumps over the lazy dog"

Lists

        Lists are a collection of items, and each item can be of any data type. The items in a list are separated by commas and enclosed in square brackets.
For example:

    numbers = [1, 2, 3, 4, 5]                   
    fruits = ["apple", "banana", "cherry"]

Tuples

        Tuples are similar to lists, but they are immutable, which means their contents cannot be changed after creation.
For example:
coordinates = (10, 20)                                           
colors = ("red", "green", "blue")

Dictionaries

        Dictionaries are a collection of key-value pairs enclosed in curly braces.
For example:

person = {"name": "John", "age": 30, "gender": "Male"}

Boolean

        Boolean data types represent truth values, which can either be true or false.
For example:

is_raining = True                                           
is_sunny = False


        In conclusion, Python provides a rich set of data types that can be used to represent different types of data. Understanding these data types is crucial in writing efficient and error-free Python code.

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