


An in-depth analysis of Python's data type conversion functions and usage examples
Detailed explanation of Python data type conversion function and usage examples
In Python programming, data type conversion is a very common operation. When we deal with different types of data, we need to convert it into the appropriate type for manipulation or comparison. Python provides a series of data type conversion functions that can easily convert between data types. This article will introduce various data type conversion functions in Python in detail and provide usage examples.
- int() function
int() function is used to convert a number or string to an integer. If the conversion fails, a ValueError exception will be thrown.
Example 1: Convert a number to an integer type
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Example 2: Convert a string to an integer type
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- float() function
float() function is used to convert a number or string to floating point type. If the conversion fails, a ValueError exception will be thrown.
Example 1: Convert a number to a floating point type
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Example 2: Convert a string to a floating point type
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- str() Function
str() function is used to convert an object into a string.
Example 1: Convert integer to string
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Example 2: Convert floating point to string
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- bool() Function
bool() function is used to convert an object to a Boolean value. If the value of the object is 0, empty, None or False, it will be converted to False, otherwise it will be converted to True.
Example 1: Convert integer to Boolean value
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Example 2: Convert string to Boolean value
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- list() function
The list() function is used to convert an iterable object into a list.
Example 1: Convert string to list
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Example 2: Convert tuple to list
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- tuple() function## The #tuple() function is used to convert an iterable object into a tuple.
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- set() function# The ##set() function is used to create an unordered collection of non-repeating elements.
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Example 2: Convert a string to a set
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Through the introduction of this article, we have learned about Python Common data type conversion functions and usage examples are provided. In actual programming, by using these functions flexibly as needed, conversion between different data types can be easily achieved.
The above is the detailed content of An in-depth analysis of Python's data type conversion functions and usage examples. For more information, please follow other related articles on the PHP Chinese website!

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