Generators are a special type of function that can be paused and resumed, allowing the function execution to be stopped and later continued from the same point. Generators are defined using generator functions, which are denoted by an asterisk (*) after the function keyword. Generator functions can be paused and resumed using the yield keyword.
When a generator function is called, it returns an iterator object that can be used to control the generator's execution. The generator's next() method can be called to resume the generator's execution until the next yield statement is encountered.
Practical Use Cases
Generators and iterators can be used to create custom iterable objects and control the flow of iteration. Some practical use cases for these features include:
Asynchronous Iteration: Generators can be used to implement asynchronous iteration, which is useful for working with data streams or handling large datasets.
Lazy Evaluation: Generators can be used to implement lazy evaluation, which allows you to defer the computation of values until they are actually needed. This can improve the performance of your code by avoiding unnecessary computations.
Infinite Data Streams: Generators can be used to create infinite data streams, which can be useful for generating data on the fly or implementing infinite scroll features in web applications.
Did you find this article valuable?
Support Sunny Gupta by becoming a sponsor. Any amount is appreciated!