A list is Python's workhorse container: an ordered, mutable sequence that can hold numbers, strings, or even other lists. Because the items keep their order, you can reach any element by its index position, and because lists are mutable, you can change, add, or remove items after the list has been created. In engineering work this maps naturally onto things like a series of sensor readings, a set of measured dimensions, or a queue of simulation results.
In this course, lists are the bridge between the control flow ideas you just met and the data structures that follow. Loops become far more useful once you have a collection to iterate over, and conditional statements become more powerful once you can filter or update the contents of a list. Later in the module you will compare lists against tuples, dictionaries, and sets, so a solid grasp of list behavior gives you the baseline for those comparisons.
As you watch, pay attention to five things: how a list is created and indexed (including negative indices), how items are changed or removed in place, how slice notation selects a sub-range, how a list comprehension compresses a loop into a single expression, and what the common built-in methods such as append, insert, remove, pop, sort, and reverse actually do to the original list. Try typing each example yourself and then changing one value to see what happens.
An introductory walkthrough of what a list is in Python, aimed at viewers who are new to the language. Expect coverage of how to create a list, how to access items by index, and how to change the contents of a list, with the hands-on, follow-along style the channel is known for. It is positioned as part of a beginner Python series, so concepts are built up slowly with live typing rather than slides.
NetworkChuck is a well-known IT and programming educator whose beginner explanations are clear and paced for first-time learners, making this a good entry point for the Creating and Accessing Lists and Modifying Lists subtopics.
A focused tutorial on Python's built-in list methods, part of CodeWithHarry's day-by-day Python course. It is likely to demonstrate the methods you use most often, such as append, insert, remove, pop, sort, reverse, index, and count, showing how each one affects the list it is called on. The short runtime keeps it practical and example-driven rather than theoretical.
This video targets the Common List Operations and Methods subtopic directly, and the structured tutorial-series format from a high-volume Python teaching channel makes the method-by-method coverage easy to review before an assignment.
Together these two videos support MO3 most directly: the first builds the foundation of creating lists, accessing elements by index, and modifying contents, while the second drills into the built-in methods you will use to process ordered collections. They also reinforce MO2, since iterating over a list with a for loop is the natural companion to everything shown here, and they prepare you for MO4 and MO5 by establishing the mutability and ordering behavior of lists that you will later contrast with tuples, dictionaries, and sets. Note that slicing and list comprehensions may receive lighter treatment in these videos, so pair them with the course readings and practice exercises on those subtopics.
These videos were chosen from YouTube on October 2, 2026. Each has captions; the player turns them on. Videos on YouTube can be changed or removed — if one no longer plays, tell your instructor. If a player does not appear, use its Watch on YouTube link.