Python Type Casting
We will learn Python type casting with examples in this article to fulfill education needs.
What Is Type Casting In Python?
It comes up from time to time that you may need to specify a type for a Python variable. Casting can be used to accomplish this. Object-oriented languages, such as Python, define their data types through classes.
Type casting in Python is therefore performed through constructor functions:
- int() – Inversely converts an integer literal to an integer number, or a float literal to an integer number.
- float() – This method produces a float number from an integer literal, a float literal, or a string literal (if the string contains either a float or an integer).
- str() – Strings, integer literals, and float literals can be used to create string objects
Here are some examples of Python type casting:
Here are some examples of Python type casting:
Example Integers:
a = int(11)
# The output of variable a will be 11
print(a)
b=int(4.6)
# The output of variable b will be 4
print(b)
c = int("6")
# The output of variable c will be 6
print(c)
Execute
Example Floats:
a = float(9)
#The output of variable a will be 9.0
print(a)
b = float(6.4)
#The output of variable b will be 6.4
print(b)
c = float("6")
#The output of variable c will be 6.0
print(c)
mrx = float("9.3")
#The output of variable mrx will be 9.3
print(mrx)
Execute
Example Strings:
a = str("mrx21")
#The output of variable a will be 'mrx21'
print(a)
b = str(5)
#The output of variable b will be '5'
print(b)
c = str(6.0)
#The output of variable c will be '6.0'
print(c)
Python converts one data type into another, based on its level of data types (automatically).
Check out our complete list of Python data types for more information.
Table Of Content-
Python Type Casting Advantages
There are several advantages to using type casting in Python:
- Type casting allows you to ensure that data is compatible with a specific operation or function. For example, if you have a variable that contains a string representation of a number, you can use type casting to convert it to an integer or float before performing mathematical operations.
- Type casting can be used to validate and sanitize user input. For instance, if you expect a user to enter a number but they provide a string, you can use type casting to convert the input to the desired numeric type and handle any potential errors gracefully.
- Python’s flexibility with type casting allows you to write more expressive code. You can convert values between different types to perform operations that would otherwise be incompatible. This helps in creating concise and readable code.
- Type casting is often necessary when working with external systems or APIs that expect data in a specific format. By converting data types to match the expected format, you can ensure smooth integration and data exchange.
- Type casting is useful for manipulating and transforming data. For example, you can convert a list of strings to integers or floats to perform numerical operations or sort the data in a specific order.
- Type casting provides a way to handle errors and exceptions. If a certain type casting operation fails, it can raise an exception that can be caught and handled appropriately, preventing unexpected crashes or bugs.
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