A list is a data structure in Python that is used to store multiple items in a single variable¹. A list can contain items of any data type, such as strings, integers, booleans, or even other lists¹. Lists are ordered, changeable, and allow duplicate values¹.

To create a list in Python, you can use square brackets [ ] and separate the items with commas. For example:

You can access the items in a list by using their index positions. The index starts from 0 for the first item, 1 for the second item, and so on. You can use negative indexes to access the items from the end of the list. For example:

You can also use slicing to get a range of items from a list. The syntax is [start:stop:step], where start is the starting index, stop is the ending index (not included), and step is the increment value. For example:

You can modify the items in a list by assigning a new value to a specific index. For example:

You can also use various methods to manipulate lists in Python. Some of the common methods are:

• append(x): Adds an item x to the end of the list.

• extend(iterable): Adds all the items from an iterable (such as another list, tuple, set, etc.) to the end of the list.

• insert(i, x): Inserts an item x at a given position i.

• remove(x): Removes the first item from the list that has a value equal to x.

• pop(i): Removes and returns the item at position i. If no index is specified, it removes and returns the last item in the list.

• clear(): Removes all the items from the list.

• index(x[, start[, end]]): Returns the index of the first item that has a value equal to x. You can optionally specify a start and end index to limit the search.

• count(x): Returns the number of times x appears in the list.

• sort(*, key=None, reverse=False): Sorts the items of the list in place. You can optionally specify a key function or a reverse flag to customize the sorting.

• reverse(): Reverses the order of the items in the list in place.

• copy(): Returns a shallow copy of the list.

For more information and examples, see the Python documentation² or the GeeksforGeeks tutorial³.