Iteration is a general term for taking each item of something, one after another. Any time you use a loop, explicit or implicit, to go over a group of items, that is iteration.

In Python, iterable and iterator have specific meanings.

An iterable is an object that has an __iter__ method which returns an iterator, or which defines a __getitem__ method that can take sequential indexes starting from zero (and raises an IndexError when the indexes are no longer valid). So an iterable is an object that you can get an iterator from.

An iterator is an object with a next (Python 2) or __next__ (Python 3) method.

Whenever you use a for loop, or map, or a list comprehension, etc. in Python, the next method is called automatically to get each item from the iterator, thus going through the process of iteration.

A good place to start learning would be the iterators section of the tutorial and the iterator types section of the standard types page. After you understand the basics, try the iterators section of the Functional Programming HOWTO.

Answer from agf on Stack Overflow
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GeeksforGeeks
geeksforgeeks.org › python › python-difference-iterable-iterator
Python | Difference between iterable and iterator - GeeksforGeeks
July 11, 2025 - Iterable is an object, that one can iterate over. It generates an Iterator when passed to iter() method. An iterator is an object, which is used to iterate over an iterable object using the __next__() method.
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1 of 15
679

Iteration is a general term for taking each item of something, one after another. Any time you use a loop, explicit or implicit, to go over a group of items, that is iteration.

In Python, iterable and iterator have specific meanings.

An iterable is an object that has an __iter__ method which returns an iterator, or which defines a __getitem__ method that can take sequential indexes starting from zero (and raises an IndexError when the indexes are no longer valid). So an iterable is an object that you can get an iterator from.

An iterator is an object with a next (Python 2) or __next__ (Python 3) method.

Whenever you use a for loop, or map, or a list comprehension, etc. in Python, the next method is called automatically to get each item from the iterator, thus going through the process of iteration.

A good place to start learning would be the iterators section of the tutorial and the iterator types section of the standard types page. After you understand the basics, try the iterators section of the Functional Programming HOWTO.

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430

Here's the explanation I use in teaching Python classes:

An ITERABLE is:

  • anything that can be looped over (i.e. you can loop over a string or file) or
  • anything that can appear on the right-side of a for-loop: for x in iterable: ... or
  • anything you can call with iter() that will return an ITERATOR: iter(obj) or
  • an object that defines __iter__ that returns a fresh ITERATOR, or it may have a __getitem__ method suitable for indexed lookup.

An ITERATOR is an object:

  • with state that remembers where it is during iteration,
  • with a __next__ method that:
    • returns the next value in the iteration
    • updates the state to point at the next value
    • signals when it is done by raising StopIteration
  • and that is self-iterable (meaning that it has an __iter__ method that returns self).

Notes:

  • The __next__ method in Python 3 is spelt next in Python 2, and
  • The builtin function next() calls that method on the object passed to it.

For example:

>>> s = 'cat'      # s is an ITERABLE
                   # s is a str object that is immutable
                   # s has no state
                   # s has a __getitem__() method 

>>> t = iter(s)    # t is an ITERATOR
                   # t has state (it starts by pointing at the "c"
                   # t has a next() method and an __iter__() method

>>> next(t)        # the next() function returns the next value and advances the state
'c'
>>> next(t)        # the next() function returns the next value and advances
'a'
>>> next(t)        # the next() function returns the next value and advances
't'
>>> next(t)        # next() raises StopIteration to signal that iteration is complete
Traceback (most recent call last):
...
StopIteration

>>> iter(t) is t   # the iterator is self-iterable
Discussions

java - What is the difference between iterator and iterable and how to use them? - Stack Overflow
Thanks for an intelligent answer. I came here to double check my understanding of Iterable vs Iterator. You confirmed it. All the other answers talk about the structure, which I guess is fine, but doesn't answer the question of WHY I'd use one over the other. More on stackoverflow.com
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iterator and iterable object, is there a difference?
An iterator is an object which has a __next__ method. An iterable is an object which has a __getitem__ method or has an __iter__ method. You iterate over things with an iterator. You can get an iterator from an iterable. The syntax for x in iterable calls iter(iterable) to get an iterator, then uses that iterator until StopIteration is thrown. Roughly equivalent to this: try: it = iter(iterable) while True: do_thing_with(next(it)) except StopIteration: pass Here's a repl.it with an example of each: https://repl.it/KNPC/0 More on reddit.com
🌐 r/learnpython
12
3
August 17, 2017
I'm somewhat confused about difference between Iterator and Iterable
Iterable can be thought of a designation that says "this class can be iterated over." So for example, HashSet is iterable, but HashSet itself is not an iterator. All that Iterable guarantees is that the class returns a concrete object that implements Iterator. Iterator is the concrete object that you actually use to iterate over the collection. The implementing class controls how to actually traverse the collection. do I just have to return a linked list of some sort (stack/queue)? why not use iterator instead? To reiterate the above, what you are returning is an object that implements Iterable. So yes, you could use a LinkedList or ArrayList because they implement Iterable. If you require more fine-tuned control over the iterator, then you could do something like this: public Iterable solution(){ return new Iterable(){ public Iterator iterator(){ //Return your iterator } } } You will need to create an inner class that implements Iterator and specifies how to actually iterate over all the boards. Look up how to properly implement Iterator, for example . More on reddit.com
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4
6
November 23, 2017
Am I the only one who thinks channels are the obvious choice for iterators?
Channels are almost perfect... except the performance is absolute trash for a lot of common iterator cases. Imagine the difference between a conventional for loop incrementing an index, which amortizes to about one processor cycle per loop, versus a channel. To get the next int, we must block the current goroutine, deschedule it, schedule the providing goroutine, have it generate the next value and put it on the channel, deschedule that goroutine, reschedule the consumer, and extract the value from the channel. There's no way to make that fast enough. If you do try to optimize it to remove the cross-goroutine communication, if you work through the process you largely end up with the current proposal. How that is may be subtle and require you to learn about how compilers optimize code internally by representing things as "coroutines" (that's your search engine term) and it's s number of steps, but it is where you end up to a great degree. It's a real pity, the semantics of the channel are pretty good. Edit: See u/assbuttbuttass ' post for resources that will do a lot of the walking through what I meant by "if you try to just optimize channels, you end up pretty close to this proposal anyhow". I was too lazy on my phone at the time to dig them up. Thanks assbuttbuttass. (And thanks for the opportunity to type that sentence.) You could still argue that "the compiler could just optimize down to this" but it's another one of the things that come up so frequently in language design where that seems like it works from the 30,000 foot view but on the ground it just isn't practical. Also, channels do work for cases where the process of generating the next thing and/or consuming the next thing is much, much more expensive than even the expense of all the scheduling. If it's 100ms to handle each things in the iteration, it doesn't matter if it's a microsecond or two to get the next thing so much. Unfortunately, wanting to iterate on int indexes or "the next thing in the hash table", which is pretty cheap on its own, is extremely common and the concurrency expense kills those. More on reddit.com
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June 14, 2024
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Reddit
reddit.com › r/learnpython › iterator and iterable object, is there a difference?
r/learnpython on Reddit: iterator and iterable object, is there a difference?
August 17, 2017 -

My book says "any object with a .next() method is called an iterator, which returns the next value in the range and raises the StopIt exception upon reaching the end".

However, range() function has no next() method, and is however, said to return an iterable object. Thus:

x = range(1, 10)
x.__next__()

returns an error. But, the file iterators:

x = open("file.txt")
x.__next__()

Doesn't return an error. Is there a difference between iterators and iterable objects?

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Real Python
realpython.com › python-iterators-iterables
Iterators and Iterables in Python: Run Efficient Iterations – Real Python
January 6, 2025 - Understanding iterators and iterables in Python is crucial for running efficient iterations. Iterators control loops, allowing you to traverse arbitrary data containers one item at a time. Iterables, on the other hand, provide the data that ...
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AskPython
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Iterable vs Iterator in Python - What is the difference? - AskPython
July 6, 2021 - In Python, an iterator is an object which is obtained from an iterable object by passing it to the iter() function. An iterator holds a countable number of values that can be iterated upon.
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Towards Data Science
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Iterables vs Iterators in Python | Towards Data Science
January 11, 2022 - The terms iterable and iterator are often (and wrongfully) used interchangeably in order to describe an object that supports iterations that is an object that allows to iterate over its elements.
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YouTube
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Iterable VS Iterator Explained In Python - YouTube
Today we’re going to be learning the difference between Iterators and Iterables in Python. They sound the same, and are almost spelled exactly the same (like...
Published: August 16, 2024
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DEV Community
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Explaining Iterable vs Iterator in Python - DEV Community
December 31, 2024 - iterable object (collection or stream of objects) is any object that can be passed into the built-in iter() function
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Medium
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Iterable vs Iterator in Java. Iterable and Iterator are both… | by Remy Ohajinwa | Medium
May 13, 2021 - What is the relationship between Iterable and Iterator ? The relationship between both interfaces is that they work together to iterate or loop through objects in java. In a nutshell, When you implement an Iterable, you are making that ...
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Iterable vs Iterator: The Critical Distinction Most Python Developers Get Wrong | by Tihomir Manushev | Medium
April 14, 2026 - This is one of the quietest bugs in hand-rolled Python iteration code, and it comes from conflating two concepts that look similar but play completely different roles. An iterable is a source of values. An iterator is a single-use cursor over ...
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Python Engineer
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Difference between iterator and iterable in Python - Python Engineer
April 12, 2022 - We can say that an iterable is an object which can be iterated upon, and an iterator is an object which keeps a state and produces the next value each time it is iterated upon.
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Medium
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Iterable vs Iterator — Python
October 4, 2021 - We see iterators are iterables but they are iterables that get exhausted.
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YouTube
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Python Iterator vs Iterable (Visually Explained) | enumerate, map, filter | #Python Course 31 - YouTube
Visually explained the difference between iterators and iterables in Python using enumerate, map, and filter with simple examples.Want More? 👇- *Python Han...
Published: October 23, 2025
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Python Tutorial
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Python Iterator vs Iterable: Explain Clearly via Examples
March 27, 2025 - Once you complete iterating a collection using an iterator, the iterator becomes exhausted.
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All About AI-ML
indhumathychelliah.com › 2020 › 07 › 24 › iterable-vs-iterator-in-python
Iterable vs Iterator in Python – All About AI-ML
January 2, 2022 - Iterators don’t have to be finite.It’s perfectly reasonable to write an iterator that produces an infinite stream of data.
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BYJUS
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Difference Between Iterable and Iterator in Python
September 30, 2022 - Remember that every iterator is basically iterable, but vice versa is not always true. For instance, a list can be iterable but not an iterator. We can create an iterator from an iterator using the iter() function.
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Scaler
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Difference between Iterable and Iterator in Python - Scaler Topics
February 12, 2024 - Iterators implement both the __iter__() and __next__() methods. Iterators facilitate iteration over iterables. The __iter__() method in Python returns an iterator object for iterables. For example, we pass a list to the iter() method and it returns a fresh new iterator.