python max function documentation

Published: 22 February 2024
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the max() function in python is a built-in function that is used to find the maximum value among a sequence of values or a set of arguments. it is a versatile function that can be applied to different data types, including numbers, strings, and more. in this tutorial, we'll explore the documentation for the max() function, discuss its syntax, parameters, and usage, and provide various code examples to illustrate its capabilities.
the syntax for the max() function is as follows:
iterable: this is a required parameter representing the sequence or collection of values for which you want to find the maximum. it can be a list, tuple, or any other iterable.
*iterables: this is an optional parameter that allows you to provide additional iterables. the function will find the maximum value across all provided iterables.
key: this is an optional parameter that specifies a function to be applied to each element before comparing for the maximum value.
default: this is an optional parameter that specifies the default value to be returned if the iterable is empty.
let's start with a simple example to illustrate the basic usage of the max() function with numeric values:
output:
in this example, the max() function is applied to the list of numbers, and it returns the maximum value, which is 9.
the key parameter allows you to specify a function that transforms each element before comparison. let's consider an example using strings:
output:
in this example, the len function is used as the key, and the max() function finds the word with the maximum length.
the default parameter is useful when dealing with empty iterables. it specifies the value to be returned if the iterable is empty. here's an example:
output:
in this case, since the list is empty, the max() function returns the default value provided.
you can use the *iterables parameter to find the maximum value across multiple iterables. here's an example:
output:
in this example, the max() function compares the lists element-wise ...

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