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Is there a generator expression for python iterator?


Asked by Kimberly Andersen on Dec 05, 2021 FAQ



There is a lot of overhead in building an iterator in Python; we have to implement a class with __iter__ () and __next__ () method, keep track of internal states, raise StopIteration when there was no values to be returned etc. This is both lengthy and counter intuitive. Generator comes into rescue in such situations.
Also Know,
Python | Generator Expressions. In Python, to create iterators, we can use both regular functions and generators. Generators are written just like a normal function but we use yield() instead of return() for returning a result. It is more powerful as a tool to implement iterators.
Additionally, All of the work stated above is done automatically via Python generators. Generator functions behave exactly like ordinary functions, with the exception that they utilise the Python yield keyword instead of return and a generator function’s output is an iterator. And the returned output can be used with either next () function or with for loop.
In respect to this,
Similar to the lambda functions which create anonymous functions, generator expressions create anonymous generator functions. The syntax for generator expression is similar to that of a list comprehension in Python. But the square brackets are replaced with round parentheses.
Just so,
A generator may have any number of ‘yield’ statements. You can implement your own iterator using a python class; a generator does not need a class in python. To write a python generator, you can either use a Python function or a comprehension. But for an iterator, you must use the iter () and next () functions.