Typecasting in Python | Python Tutorial - Day #9 смотреть онлайн

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This video is about Typecasting in Python | Python Tutorial - Day #9

Introduction:
Typecasting, also known as type conversion, is the process of changing the data type of a variable or value from one type to another in a programming language. Python provides built-in functions that allow you to perform typecasting operations easily. In this Python tutorial, we will explore various methods of typecasting in Python and understand how to convert one data type to another.

Implicit Typecasting:
Python supports implicit typecasting, also known as automatic type conversion, where the conversion takes place automatically without any explicit intervention from the programmer. For example, when performing arithmetic operations involving different data types, Python automatically converts one data type to another based on certain rules.

Explicit Typecasting:
In Python, explicit typecasting involves explicitly converting one data type to another using predefined functions or constructors. This allows you to have more control over the type conversion process and ensures that the data is converted as desired.

a. str(): The str() function is used to convert a value to a string data type.

b. int(): The int() function is used to convert a value to an integer data type.

c. float(): The float() function is used to convert a value to a floating-point data type.

d. bool(): The bool() function is used to convert a value to a boolean data type.

e. list(), tuple(), set(): These functions are used to convert values to list, tuple, and set data types, respectively.

f. dict(): The dict() function is used to convert a value to a dictionary data type.

Handling Exceptions:
While performing explicit typecasting, it's important to handle exceptions that may occur when the conversion is not possible. For example, converting a string that contains non-numeric characters to an integer will result in a ValueError. By using try-except blocks, you can catch these exceptions and handle them gracefully.

User-defined Typecasting:
In addition to the built-in typecasting functions, Python also allows you to define your own typecasting methods for custom data types. This gives you the flexibility to define how objects of your custom class can be converted to other types.

Conclusion:
Typecasting is a useful technique in Python that allows you to convert data from one type to another as per your requirements. Whether it's implicit type conversion or explicit typecasting using built-in functions, understanding how to manipulate data types can enhance your programming capabilities. By mastering typecasting techniques, you can handle different data types effectively and write more flexible and robust Python code.

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