Lecture 17:- Type Conversion in Python

Type conversion, also known as type casting, is the process of converting one data type to another in Python. Python provides built-in functions to perform type conversion between different data types. This allows you to work with data in the format you need for specific operations. Here are some common type conversion functions in Python:

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

Example:

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num_str = "42" num_int = int(num_str) print(num_int)  # Output: 42

1. Float Conversion: float() The float() function converts a value to a floating-point data type.

Example:

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num_str = "3.14" num_float = float(num_str) print(num_float)  # Output: 3.14

1. String Conversion: str() The str() function converts a value to a string data type.

Example:

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num_int = 42 num_str = str(num_int) print(num_str)  # Output: "42"

1. List Conversion: list() The list() function converts an iterable (e.g., tuple, set, string) to a list data type.

Example:

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num_tuple = (1, 2, 3) num_list = list(num_tuple) print(num_list)  # Output: [1, 2, 3]

1. Tuple Conversion: tuple() The tuple() function converts an iterable (e.g., list, set, string) to a tuple data type.

Example:

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num_list = [1, 2, 3] num_tuple = tuple(num_list) print(num_tuple)  # Output: (1, 2, 3)

1. Set Conversion: set() The set() function converts an iterable (e.g., list, tuple, string) to a set data type.

Example:

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num_list = [1, 2, 2, 3, 3, 3] num_set = set(num_list) print(num_set)  # Output: {1, 2, 3}

1. Boolean Conversion: bool() The bool() function converts a value to a boolean data type. Any non-zero numeric value or non-empty object will be converted to True, while 0, None, empty strings, and empty objects will be converted to False.

Example:

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value = 42 is_true = bool(value) print(is_true)  # Output: True

These type conversion functions are useful when you need to change the data type of a variable or value to perform specific operations. However, keep in mind that some conversions may result in data loss or unexpected behavior, so it's essential to use type conversion with caution and ensure it is appropriate for your specific use case.