Python 3: Project-based Python, Algorithms, Data Structures - Project conclusion walkthrough

The video tutorial covers linear data structures, focusing on linked lists. It explains the structure and operations of singly linked lists, including how to build them and perform add and remove operations. The tutorial also discusses the complexity and limitations of linked lists, emphasizing their importance in technical interviews, particularly the ability to recursively reverse a linked list.

What is a linked list primarily composed of?

• Strings and integers

• Stacks and queues

• Nodes and pointers

• Arrays and indices

In a singly linked list, what does the last node point to?

• The first node

• The previous node

• The head node

• None

What additional pointer does a doubly linked list have compared to a singly linked list?

• A pointer to the head

• A pointer to the tail

• A pointer to the middle node

• A pointer to the previous node

What is the time complexity of adding a node to the end of a linked list if the tail is not tracked?

• O(1)

• O(log N)

• O(N)

• O(N^2)

Which operation on a linked list is always O(1) if the head is tracked?

• Searching for a node

• Adding a node to the end

• Removing a node from the end

• Adding a node to the front

Why is there no random access in linked lists?

• Because nodes are stored in arrays

• Because nodes are not indexed

• Because nodes are stored in a stack

• Because nodes are immutable

What is a key advantage of linked lists over arrays?

• Easier to sort

• Simpler to implement

• Less memory usage upfront

• Faster access to elements

What is a common interview question related to linked lists?

• Recursively reversing a linked list

• Finding the middle node

• Merging two linked lists

• Sorting a linked list

What is the main disadvantage of not having indexing in linked lists?

• No random access

• Complex node structure

• Slower sequential access

• Increased memory usage

What is the purpose of the tail pointer in a linked list?

• To point to the head node

• To keep track of the middle node

• To store the size of the list

• To speed up operations at the end