What are Python generators

Python generators are a special type of iterator that allow you to create iterables using a function that contains the yield statement. Generators provide a way to iterate through data without having to store the entire dataset in memory at once, making them memory efficient and suitable for working with large data sets.

When a generator function is called, it returns an iterator but does not begin execution immediately. Each time the next() function is called on the iterator, the generator function executes until it hits the yield statement, which temporarily pauses the function and sends a value back to the caller. The state of the function is saved, and execution can be resumed when next() is called again.

Here is a simple example of a generator function that yields the squares of numbers:

def square_generator(n): for i in range(n): yield i * i # Using the generator for square in square_generator(5): print(square)

Python generators iterators yield memory efficiency data iteration

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