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If not, try to change your approach to make it more robust.
But you can operate on a list literal as well: You have seen that an element in a list can be any sort of object. A list can contain sublists, which in turn can contain sublists themselves, and so on to arbitrary depth.
Consider this (admittedly contrived) example: There is no limit, short of the extent of your computer’s memory, to the depth or complexity with which lists can be nested in this way.
Lists and tuples are arguably Python’s most versatile, useful data types.
You will find them in virtually every nontrivial Python program.
loop is a way to do operations many times, a list is a way to store many values.
Unlike Num Py arrays, lists are built into the language (so we don’t have to load a library to use them).
When you’re finished, you should have a good feel for when and how to use these object types in a Python program.
In short, a list is a collection of arbitrary objects, somewhat akin to an array in many other programming languages but more flexible. The order in which you specify the elements when you define a list is an innate characteristic of that list and is maintained for that list’s lifetime.
All the usual syntax regarding indices and slicing applies to sublists as well: .
An individual element in a sublist does not count as an element of the parent list(s).