# Teaching Kids Programming – The Endless Iterator Cycle (from itertools) in Python

Teaching Kids Programming – The Endless Iterator Cycle (from itertools) in Python | ninjasquad

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The cycle function from itertools in Python provides an endless iterator given a iterables. For example, one possible implementation of such is as follows. The first time we go through the given iterables, we save the elements in a copy, and then we can yield the elements from the saved copy endlessly…

 ```1 2 3 4 5 6 7 8 ``` ```def cycle(x):     a = []     for i in x:         yield i         a.append(i)     while a:         for i in a:             yield i```
```def cycle(x):
a = []
for i in x:
yield i
a.append(i)
while a:
for i in a:
yield i```

We can use it this way to have a endless iterator that cycles a iterable:

 ```1 2 3 4 5 ``` ```from itertools import cycle   g = cycle((1, 2, 3)) for _ in range(10):     print(next(g))```
```from itertools import cycle

g = cycle((1, 2, 3))
for _ in range(10):
print(next(g))```

This will print 1, 2, 3, 1, 2, 3, 1, 2, 3, 1 …

The iterator in Python can only move/advance forward.

Python’s itertools.cycle function is a powerful tool for creating infinite iterators. It enables users to create an infinite iterator from a finite iterable object. This can be used to create a cycle of values that repeat over and over again.

One of the most common uses of itertools.cycle is in creating a generator that yields an infinite stream of values. By combining itertools.cycle with the next() function, users can create a generator that produces an infinite stream of values from a finite iterable object. This is useful for creating repeatable sequences of values that can be used for data manipulation, machine learning tasks, or looping through long lists. For example, a cycling generator could be used to generate an infinite set of random numbers or to cycle through a list of names.

Itertools.cycle is also useful for creating a loop in a program. By using the loop to cycle through a finite iterable object, the loop can be used to repeat a piece of code until a specific condition is met. This is especially helpful when building user interfaces, as it allows the user to keep entering data until a certain limit is reached.

Overall, Python’s itertools.cycle function is a powerful tool for creating infinite iterators from finite iterable objects. It is useful for creating generators, loops, and user interfaces that require cycling through a list of values. Try it out today and see how it can help you automate repetitive tasks.

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