![]() ![]() Hence, we cannot create an empty set using the curly braces. ![]() We can define a set in Python using curly braces as shown below. myList=Ī Python set is a data structure used to store unique elements in an unordered manner. You can observe this in the following example. Index -2 gives the second last element, and so on. A negative index -1 gives us the last element of the list. We can also use negative indices to access the elements in a list. The first element in the list has an index 0, the second element has an index 1, and so on. You can observe that the list in the above list contains an integer, a string, a tuple, and a floating point number.Īll the elements in a list are in a particular order and we can access them using the Python indexing operator. myList=list((1,2,3,4,5,6))Ī list can contain objects of different data types and other container objects like lists, tuples, sets, etc. The list() function takes another element as its input argument and returns a new list containing all the elements of the input container object. We can also convert another container object like a tuple to a list using the list() function. ![]() We can define a list in Python using square brackets as shown below. Now, let us discuss all the differences in detail with code examples.Ī Python list is a data structure that stores elements in sequential order. Sets contain elements in an unordered manner. Sets do not allow random access to elements.Ī Python list contains elements in an ordered sequence. We cannot access elements in a set using subscript notation.Ī list can contain different data types and other container objects such as a list, tuple, set, or dictionary.Ī set can contain only contain immutable objects such as integers, strings, tuples, and floating-point numbers. We can access an element from a list using subscript notation. The following table contains a summary of the differences between a Python list and a set. ![]()
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