Python is a dynamically typed language, which means that variables don’t need to be declared with a specific data type before they are used. Instead, Python infers the data type of a variable based on the value that is assigned to it. This makes Python code more flexible and easier to read and write.Python Built in Data Types


Python supports a wide range of data types, including numbers, strings, lists, tuples, dictionaries, and sets. Each of these data types has its own set of properties and methods that can be used to manipulate data.


Built-in Data Types


Numbers are one of the most basic data types in Python, and they are used to represent numeric values. There are three types of numbers in Python:

Python supports all the standard arithmetic operators (addition, subtraction, multiplication, and division) for numbers, as well as more advanced mathematical functions like exponentiation and trigonometry.


Strings are used to represent text in Python, and they are enclosed in either single or double quotes. Strings can be concatenated using the + operator, and they can be indexed and sliced like lists.

Python strings also have a number of built-in methods that can be used to manipulate text, such as upper() (converts a string to uppercase), lower() (converts a string to lowercase), and replace() (replaces a substring within a string with another substring).


Python boolean type is one of the built-in data types provided by Python, which represents one of the two values i.e. True or False. Generally, it is used to represent the truth values of the expressions. For example, 1==1 is True whereas 2<1 is False.

The boolean value can be of two types only i.e. either True or False. The output <class ‘bool’> indicates the variable is a boolean data type.


A date in Python is not a data type of its own, but we can import a module named datetime to work with dates as date objects.


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