What are advanced Python generators and how can I use them?

What are advanced Python generators and how can I use them?

Advanced Python generators are functions that allow you to yield values one at a time, enabling efficient memory usage. They can be used for creating iterators, handling large datasets, or implementing coroutines.

Can you give me an example of a generator that produces Fibonacci numbers?

Sure! Here's a simple Fibonacci generator:

def fibonacci_generator():
    a, b = 0, 1
    while True:
        yield a
        a, b = b, a + b

You can use it like this:

fib = fibonacci_generator()
for _ in range(10):
    print(next(fib))

How do I use generators with the for loop?

You can use a generator in a for loop just like a list. The loop will automatically call next() on the generator until it raises a StopIteration exception. Here's an example:

for number in fibonacci_generator():
    if number > 100:
        break
    print(number)

What are the benefits of using generators over lists?

Generators are more memory efficient than lists because they yield items one at a time and do not store the entire list in memory. This is especially useful for large datasets.