What are some practical use cases for Python generators?

What are some practical use cases for Python generators?

Python generators are great for handling large datasets, streaming data, and implementing coroutines. They allow you to iterate over data without loading everything into memory at once.

Can you give me an example of using a generator for reading a large file?

Sure! You can create a generator function that reads a file line by line, like this:

def read_large_file(file_name):
    with open(file_name) as f:
        for line in f:
            yield line

What about using generators for infinite sequences?

Absolutely! You can create an infinite sequence generator using a while loop. For example, a generator for Fibonacci numbers:

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

Are there any performance benefits to using generators?

Yes, generators are more memory efficient since they yield items one at a time and only when requested, which can lead to significant performance improvements in certain scenarios.