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This is the last lesson of the course and covers quirks and oddities arising when using immutable objects. One of these oddities is a (immutable) tuple containing a (mutable) list. This example is covered in more depth in the video.
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00:00 What I want to do now is I want to talk about some of the quirks when it comes to immutability in Python. So what I’m going to do now is I’m going to create a tuple, which is immutable, and I’m going to put a list into it, which is mutable.
00:13 And we’re going to encounter a pretty interesting situation here—or, well, I guess almost a paradox, depending on what definition of mutable and immutable you use.
00:24
So I’m going to place some values into this tuple. And at index 1,
00:29 I am going to add a list.
00:36
Okay, so now we’ve looked at this tuple. We’ve got the tuple here, it starts with the value 1, and then we’ve got this list which sits at index 1.
00:47
And then we’ve got a string here at index 2 in the tuple. Now, if I try and modify this tuple and let’s say we want to try and modify the first value. We can’t do it, right?
00:58
Because the tuple is immutable. The same thing is true when I try to, let’s say, change this string here, 'word', change it and make it uppercase. If I wanted to do that, that doesn’t work because strings are immutable too, right? Now, you can already see here, the TypeError didn’t say “Hey, you can’t do that because the tuple is immutable, or does not support item assignment.” It said the 'str' object does not support item assignment.
01:34
So, can you guess what’s going to happen when I try to modify the list at index 1? Let’s say we’re going to do the same thing and I’m going to modify this list.
01:48 And so the surprising result here is that this actually worked. We modified the tuple—or, it depends on your definition, right? Python says we didn’t modify the tuple. All the tuple cares about is, well, it points to some values and one of them is a list, and you can’t change what lists this tuple is pointing to. But because a list is mutable, you can very well reach in and modify the list.
02:16 So in a way, Python’s definition of mutability and immutability is non-transitive. So it means if the tuple is immutable, that doesn’t guarantee that an object referenced by the tuple is also immutable, or that all objects referenced by the tuple are also immutable.
02:34 So, the mutability—it kind of stops after the first level, right? That guarantee stops after the first level. So we can’t modify the tuple itself, but we can reach in and modify objects that the tuple holds.
02:48 This can be a little bit confusing when you see it the first time or when you just hear the word immutable. And I’ve seen this over and over again, working with people and also people commenting on my blog posts and tutorials.
03:00 It is just a point of confusion for new Python programmers, so that’s why I decided to do this video. What you can see here is we were able to modify this object even though it is immutable.
03:10 This all comes down to Python’s definition of immutability, and the fact that immutability in Python is not transitive right? It stops after the first level.
03:20 There’s no guarantees that further down in the object hierarchy there isn’t a mutable object. So, that’s something to keep in mind, and that’s what I meant earlier that sometimes in Python it can be a little bit hard to actually write code and use data structures that are always immutable.
03:35 You really have to be careful not to introduce something like this, where you have an immutable data structure that then contains a mutable data structure, and that means it can be freely modified and there’s no immutability guaranteed, because immutability is non-transitive. All right.
03:51 So, not everyone is going to encounter this and I don’t want to discourage you with this video and confuse you. But if you do encounter it, then you’re going to see why it happens and you’re going to understand why this happens.
04:04 So, this is just something to be aware of when it comes to immutability and mutability in Python. All right, so I hope this video helped you out. Talk soon and happy Pythoning!
anders stenborg martin on July 15, 2020
Very clear and concise!
Ghani on Oct. 17, 2020
Very interesting; thank you so much!
VitaminC on July 17, 2021
Great course - concise and informative. Cheers.
h602421365 on Dec. 25, 2021
What about the other way arround? instead of a list in a tuple, a tuple in a list? Can you modify the tuple in the list?
Bartosz Zaczyński RP Team on Jan. 3, 2022
@h602421365 Have you tried? Spoiler alert: you can’t modify a tuple once you created one, so it wouldn’t work.
Otto Gyuris on Feb. 9, 2022
Great summary! Learned it. Thanks! :)
Andras on Jan. 4, 2025
The tuple knows it contains three items, an integer (instance) at index 0, a list (instance) at index 1, and a string (instance) at index 2. These objects sit somewhere in memory, for example the list object starts at memory id(t[1]). The tuple only cares about these memory locations and that these should not change (as they would, say, if you assigned a new list to t[1] since that new list was allocated somewhere else in memory). What is even more interesting to me, coming from C++ and having some familiarity with std::vector and its contiguous memory layout, is that you can freely append a million more elements to the list object inside the tuple! Your list will not be moved in memory to accommodate its increased size, which is probably a list implementation detail, but it guarantees that you can basically do whatever you want to do with that list embedded inside an immutable tuple.
Bartosz Zaczyński RP Team on Jan. 7, 2025
@Andras You can think of sequences in Python, including lists and tuples, as vectors of amorphous pointers to objects. You’ll find more details about how Python implements them here: realpython.com/python-array/#arrays-in-python
Andras on Jan. 10, 2025
Cool, I will take a look, thanks!
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Tonya Sims on July 3, 2019
Wow! This video series cleared up so much confusion for me regarding immutable objects! Thank you Dan!