Note: this post assumes Python 3.x syntax.† A generator is simply a function which returns an object on which you can call next, such that for every call it returns some value, until it raises a StopIteration …

The generator approach is that the work-function (now a generator) knows nothing about the callback, and merely yields whenever it wants to report something. The caller, instead of writing a separate …

Oct 24, 2008 · Yield in Python used to create a generator function. Generator function behaves like an iterator, which can be used in loop to retrieve items one at a time. When a generator function is …

A Generator object is produced by calling a generator function, which is defined using the yield keyword. The Generator type is unique as it has two additional type parameters for its send and return types, …

Apr 27, 2017 · 102 As of Python 3.9, you can annotate a generator using the Generator[YieldType, SendType, ReturnType] generic type from collections.abc. For example:

Nov 26, 2025 · Is there a specific part of the documentation that you found unclear? Including your own example code showing a simple generator or a simple function returning a list would go a long way to …

18 Since a generator expression cannot have its own scope, the preferred approach would be to define a generator function as you suggested.

I would like to measure the execution time of each generator invocation. What's a reasonably elegant & pythonic way to structure a loop that can get the timestamp before and after each invocation?

generator.send(value) Resumes the execution and “sends” a value into the generator function. The value argument becomes the result of the current yield expression. The send() method returns the …

Apr 25, 2015 · A generator is very similar to a function that returns an array, in that a generator has parameters, can be called, and generates a sequence of values. However, instead of building an …