Generator functions in Python
Generator functions in Python are a special type of function that allow you to yield values one at a time, rather than returning them all at once. They are particularly useful for working with large datasets or streams of data where generating all the values at once would be inefficient or impractical. Overview of generator functions: Key Features: yield Keyword: Instead of return, generator functions use yield to produce a value and pause the function's execution. When the generator is called again, it resumes from where it left off. Iterators: Generators are iterators, meaning you can use them in loops or with functions like next() to retrieve values one at a time. Memory Efficiency: They don’t store all values in memory; instead, they generate values on the fly, making them memory-efficient. Example 1: Simple Generator Function def count_up_to(n): count = 1 while count <= n: yield count cou...