In Python, the yield
keyword is used to create a generator function. A generator function is a special type of function that returns an iterator object, which can be used to iterate over a sequence of values one at a time. The yield
keyword allows you to easily implement generator functions without having to write complex code to manage state and iteration.
Here's an example of a generator function that uses the yield
keyword:
rubydef get_numbers():
yield 1
yield 2
yield 3
yield 4
yield 5
In this example, the get_numbers()
function is a generator function that returns a sequence of integers. The yield
keyword is used to return each integer one at a time. When the yield
keyword is encountered, the value is returned, and the state of the function is saved. The next time the function is called, it resumes execution where it left off and continues until the next yield
keyword is encountered.
You can use a for
loop or the next()
function to iterate over the sequence of values returned by the generator function:
scssfor num in get_numbers():
print(num)
In this example, the for
loop is used to iterate over the sequence of integers returned by the get_numbers()
function. Each integer is printed to the console.
Generator functions can be very useful when you need to work with large collections of data or when you need to perform complex operations on data that is too large to fit in memory. By using the yield
keyword, you can create efficient and easy-to-use generator functions that can handle large data sets without consuming large amounts of memory.
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