Now you have a deep, solid understanding of the core features and functionalities of Python lists. Lists are everywhere. They’re an important part of the language itself and are present in the standard library, third-party packages, and in just about every piece of Python code that you’ll find out there. So, learning about them is a fundamental skill that you must have under your belt.

In this video course, you’ve learned how to:

Create new lists in Python using different approaches
Access one or more items in an existing list
Copy, update, grow, shrink, and concatenate existing Python lists
Sort, reverse, and traverse existing lists using built-in functions and methods
Use some other features of lists

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00:00 Congratulations on completing Exploring Python’s List Data Type With Examples. It was a long journey, but you stuck it out to the finish and I’m sure it was well worth it.

00:10 In this course, you’ve learned how to create lists in Python, retrieve elements from an existing list, use Python operators with lists like the + and * operators, copy, update, grow and shrink existing lists, sort, reverse and traverse existing lists, and avoid common errors made when handling lists.

00:29 And despite everything you’ve seen, there’s actually even more if you check out the written tutorial, which includes some great examples of creating your own list subclasses, dealing with multidimensional lists, and more.

00:41 If you’re looking for something new though, I have a few suggestions for your next course. If you’d like to learn more about object-oriented programming in Python, head on over to Python Classes: The Power of Object-Oriented Programming.

00:53 If you haven’t got enough of Python data structures, check out Python Stacks, Queues, and Priority Queues in Practice. And hey, if you just like the style of this course and want another one like it, Python’s tuple Data Type: A Deep Dive With Examples would be perfect and provides a great contrast to this course.

01:12 Once again, this has been Joseph and thank you for watching.

Hans Geukens on June 19, 2025

Thanks for developing this training. Should we not add these ‘bad practice’ in the don’ts:

def add_item(item, my_list=[]):
    my_list.append(item)
    return my_list

print(add_item('a'))  # ['a']
print(add_item('b'))  # ['a', 'b']  <-- Why is 'a' still there?!

I believe they mark the risk as ‘Shared Mutable State’ which may cause hard to debug issues.

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Exploring Python's list Data Type With Examples (Summary)