Another practical use case for generator functions is when we need to generate an infinite stream of values. For instance, we can create a generator function that generates prime numbers on the fly, enabling us to work with prime numbers without having to store them all in memory.

In addition to these use cases, generator functions can also be leveraged for lazy evaluation. This means that computations are only performed when the next value is requested, allowing for efficient processing and memory usage in certain situations.

Generator functions in Python can be used in scenarios where we need to process a large amount of data, but do not want to load it all into memory at once. For example, we can use a generator function to iterate over a huge dataset and perform some operations on each element, without loading the entire dataset into memory.