typecasting in python

Python Typecasting

Python is one of the most versatile and flexible programming languages in the world, and its typecasting feature is one of the reasons why. Typecasting is the process of converting data from one data type to another data type. It depends on the Python developers their needs and the nature of the data they are working with. In this article, we'll explore Python's typecasting in depth, explaining what it is, how it works, and how you can use it effectively in your Python projects.

What is Typecasting in Python?

Typecasting refers to the process of converting a value from one data type to another data type. In Python, type casting is done using functions such as int(), float(), str(), and others. These functions allow you to convert values from one data type to another, making it possible to store, manipulate, and use data as needed.

Why is Typecasting important in Python?

Typecasting is important in Python because it allows you to perform operations on values of different data types. For example, if you have a string value that represents a number, you can use the int() function to convert the string to an integer, which can then be used in arithmetic operations. can can allows you to use values of different data types together in your code, making it possible to write more versatile and flexible code.

Typecasting in Python Codes

1). Integer convert into float

a = 5
print(float(a)) 

Answer : 5.0

Now  datatype of ' a'  is Decimal float() 

2). Float convert into integer

a = 5.0
print(int(a)) 

Answer : 5

Now  datatype of ' a'  is integer int()

3). Integer convert into string

a = 5
print(str(a)) 

Answer : '5'

Note: 5 is string because they are inside in single or double quads

Now  datatype of ' a'  is string str()

4).Integer convert into complex number

a = 5
print(complex(a)) 

Answer : '5+0j' 

Note: j is a symbol of complex number 

Now  datatype of ' a'  is complex number complex()