Linking lists to represent graph adjacency lists? For instance. No coding.

In python. Write a LinkedList class that has recursive implementations of the add and remove methods. It should also have recursive implementations of the contains, insert, and reverse methods. The reverse method should not change the data value each node holds - it must rearrange the order of the nodes in the linked list (by changing the next value each node holds). It should have a recursive method named to_plain_list that takes no parameters (unless they have default arguments) and returns a regular Python list that has the same values (from the data attribute of the Node objects), in the same order, as the current state of the linked list. The head data member of the LinkedList class must be private and have a get method defined (named get_head). It should return the first Node in the list (not the value inside it). As in the iterative LinkedList in the exploration, the data members of the Node class don't have to be private. The reason for that is because Node is a trivial class…

Array lists and linked lists are both examples of list implementations. Give an example of a case in which an array list might be preferable over a linked list. Justify your actions in each scenario.

There are an undetermined number of nodes in the fastest linkedlist.Is there one that stands out as being the longest?