For generators, why write 'yield'? Why not write 'return' or 'print'? Could someone explain the concept of generators? | Sololearn: Learn to code for FREE!
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+ 18

For generators, why write 'yield'? Why not write 'return' or 'print'? Could someone explain the concept of generators?

29th Jul 2017, 10:37 PM
Elizabeth Ford
Elizabeth Ford - avatar
3 Answers
+ 22
The generator in python allows you to declare a function that is used like an iterator. It is used so that you don't have to create additional variables where you have to iterate it. for example: this is using the conventional way: def func(n): num = 0 nums = [] while num < n: nums.append(num) num += 1 return nums example=sum(func(10000)) print(example) the same using a generator: def func(n): num = 0 while num < n: yield num num += 1 example=sum(func(10000)) print(example) Note: the first example builds and returns a list, but the second example yields items instead of returning a list. Both give the final answer of 49995000, but the first example stores all the items in a list that takes a lot of memory while the second example saves a ton. Hope this helps.
30th Jul 2017, 1:37 AM
Infant Raj
Infant Raj - avatar
+ 3
# you will get a reasonable starting introduction here. # https://jeffknupp.com/blog/2013/04/07/improve-your-JUMP_LINK__&&__python__&&__JUMP_LINK-yield-and-generators-explained/ # A simple generator example is def a_yielding_function(): num = 0 while 1: yield num num += 4 the_generator = a_yielding_function() # type will quickly show you wether you are looking at # a function or a generator class object as you try to # construct them yourself or look at peoples examples. print(type(the_generator)) for i in range(6): print(next(the_generator))
30th Jul 2017, 7:48 AM
richard
+ 1
The yeild kyword simply return a result to caller without destroying local variables. In case of return it terminate the function and destroy local variables
1st Jan 2019, 4:04 AM
Nilesh
Nilesh - avatar