Python Type Conversion and Type Casting

In this article, you will learn the type of change and use of the substitution.

Table of Contents

• Type Conversion
• Implicit Type Conversion
• Explicit Type Conversion
• Key Points to Remember

Before replacing Python, you have to know the type of data in Python.

Type Conversion:

The method changes the value of the data type (integer, string, float, etc.) Another type of data called a substitute. Python has two types of different types.

1. Implicit Type Conversion
2. Explicit Type Conversion

Implicit Type Conversion:

In an irregular conversion, Python automatically switches to another type of data. This system does not require any use.

Let's see, for example, Python to increase the type of data (top) of the data type (float) is not a loss of data.

Example 1: Converting integer to float:

num_int = 123

num_flo = 1.23

num_new = num_int + num_flo

print("datatype of num_int:",type(num_int))

print("datatype of num_flo:",type(num_flo))

print("Value of num_new:",num_new)

print("datatype of num_new:",type(num_new))

The program,

• We can add two variables to num_flo, a value of NUM_NEW.

• Let's look at the three types of data, respectively.

• Once we can see the data type of num_int is the same, the type of data_name is a form.

• Also, the types of data we can see NUM_NEW statewide because Python always changes the data type of the types of small data to avoid loss of data.

Example 2: Addition of string(higher) data type and integer(lower) datatype:

num_int = 123

num_str = "456"

print("Data type of num_int:",type(num_int))

print("Data type of num_str:",type(num_str))

print(num_int+num_str)

The program,

• We can add two variables num_int n num_str.

• As we can see the manufacturer, we have TypeError. Python can be used to make changes in such cases.

• However, Python has a solution like this and already knows how to make it clear.

Explicit Type Conversion:

The balance sheet is clear, the user changes the type of data for the type of information required. We use unprotected tasks such as int (), float (), str (), etc., To accomplish clearer changes.

This type of transformation is called 'typecasting' because of the user changes (changes) of the type of image.

Syntax:

(required_datatype)(expression)

Key points in mind:

1. Changes in the type of change are the type of data for other types of data.

2. The type of direct change is made automatically by the Python interpreter.

3. Python avoided losing data loss for non-linear forms.

4. The type of change known as a substitute for the type of product, the type of data item has been changed using the previously used user.

5. Score Data Types of hearings may occur in the form of a specific type of item.

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