Python Data Types

Data Type in Python:-

Python data types are different in some aspects from other programming languages. 

It is simple to understand and easy to use. Because Python is interpreted programming language and Python interpreter can determine which type of data are storing, so no need to define the data type of memory location.

Every value in Python has a datatype. Since everything is an object in Python programming, data types are actually classes and variables are instance (object) of these classes.

The data type determines:-

·         The possible values for that type.

·         The operations that can be done with that values.

·         Conveys the meaning of data.

·         The way values of that type can be stored.

*There are various data types in Python. Some of the important types are listed below.

Python Numbers:-

Integers, floating point numbers and complex numbers falls under Python numbers category.

They are defined as int, float and complex class in Python.

We can use the type() function to know which class a variable or a value belongs to and the isinstance() function to check if an object belongs to a particular class.

 Integers can be of any length, it is only limited by the memory available.

A floating point number is accurate up to 15 decimal places. Integer and floating points are separated by decimal points. 1 is integer, 1.0 is floating point number.

Complex numbers are written in the form, x + yj, where x is the real part and y is the imaginary part.

Examples:-

a = 5

print(a, "is of type", type(a))

a = 2.0

print(a, "is of type", type(a))

a = 1+2j

print(a, "is complex number?", isinstance(1+2j,complex))