Python Type Conversion
In Python, type conversion refers to the process of changing the data type of a value from one type to another. Python provides several built-in functions to convert values between different data types.
The most commonly used type conversion functions are:
-
int()
: converts a value to an integer. It can be used to convert float, string and boolean values to integers.1x = 3.14 2y = int(x) 3print(y) # Output: 3 4print(type(y)) # Output: <class 'int'>
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float()
: converts a value to a floating-point number. It can be used to convert integers and strings to float.1x = 3 2y = float(x) 3print(y) # Output: 3.0 4print(type(y)) # Output: <class 'float'>
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str()
: converts a value to a string. It can be used to convert any type of data type to string.1x = [1, 2, 3] 2y = str(x) 3print(y) # Output: "[1, 2, 3]" 4print(type(y)) # Output: <class 'str'>
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list()
: converts a value to a list. It can be used to convert a tuple, string and other iterable types to a list.1x = (1, 2, 3) 2y = list(x) 3print(y) # Output: [1, 2, 3] 4print(type(y)) # Output: <class 'list'>
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tuple()
: converts a value to a tuple. It can be used to convert a list, string and other iterable types to a tuple.1x = [1, 2, 3] 2y = tuple(x) 3print(y) # Output: (1, 2, 3) 4print(type(y)) # Output: <class 'tuple'>
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set()
: converts a value to a set. It can be used to convert a list, tuple and other iterable types to a set.1x = [1, 2, 2, 3] 2y = set(x) 3print(y) # Output: {1, 2, 3} 4print(type(y)) # Output: <class 'set'>
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dict()
: converts a value to a dictionary. It can be used to convert a list of tuples, where each tuple contains a key-value pair, to a dictionary.1python x = [("name", "William"), ("age", 30)] 2y = dict(x) print(y) # Output: {"name": "William", "age": 30} 3print(type(y)) # Output: <class 'dict'>
-
bool()
: converts a value to a Boolean. It can be used to convert integers, strings, and other types to a Boolean.1x = 0 2y = bool(x) 3print(y) # Output: False 4print(type(y)) # Output: <class 'bool'>
It's worth noting that some type conversion may result in data loss, for example, if you try to convert a floating-point number to an integer, the decimal part will be truncated.
It's also important to note that, some type conversions may not be possible, for example, trying to convert a string to a Boolean will raise an error if the string is not True
or False
.
Type conversion is the process of changing the data type of a value from one type to another in python. Python provides several built-in functions to convert values between different data types like int(), float(), str(), list(), tuple(), set(), dict() and bool(). These functions can be used to convert various data types to any other data type. Understanding how to use type conversion functions and the potential data loss or possible errors that may occur is an essential part of becoming proficient in the language.