Differences Between Iterables and Iterators
In Python, an iterable refers to any object, like a list, tuple, or string, that can return its elements one at a time and thus is considered a repeatable object.
Iterables can be used in for loops and with functions like list(), set(), and tuple().
# A list is an iterable my_list = [1, 2, 3] # A list is a repeatable object for item in my_list: print(item)
On the other hand, an iterator is an object that allows us to traverse through all the elements of an iterable one element at a time.
An iterator can be created from an iterable using the iter() function, and we can access the next element using the next() function.
# A list is an iterable my_list = [1, 2, 3] # Creating an iterator my_iterator = iter(my_list) # Access the next element print(next(my_iterator)) # 1 print(next(my_iterator)) # 2 print(next(my_iterator)) # 3
Lessons in this chapter · While Loops and List Comprehensions
- 1. How to Execute a Loop While a Given Condition is True
- 2. Controlling Logic Flow Inside Loops
- 3. Using While Loops with Lists
- 4. Multiple-choice quiz
- 5. Calculating Minimum, Maximum, and Sum
- 6. How to Reverse the Order of Objects
- 7. Iterating Over Elements of an Iterable
- 8. Iterating Over Key-Value Pairs with the items() Function
- 9. Simplifying Lists with List Comprehensions
- 10. Using the join() Function to Concatenate Strings
- 11. Differences Between Iterables and Iterators
- 12. Coding Quiz - Determine Odd/Even
- 13. Multiple-choice quiz
- 14. Fill-in-the-blank quiz
What is the difference between an iterable and an iterator?
An iterable cannot be traversed, only an iterator can.
An iterable returns elements one at a time, and an iterator is created from an iterable.
An iterable is accessed with the next() function, and an iterator is traversed with a for loop.
An iterable and an iterator are the same concept.
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