Python 3: Project-based Python, Algorithms, Data Structures - Merge sort visualization and complexity analysis

The video tutorial explains the Fibonacci series and how to implement a recursive function to find the Nth element in the series. It covers the base cases for recursion, the recursive formula, and demonstrates the implementation and testing of the function. The tutorial also previews the next topic on the Mergesort algorithm.

What is the base case for the Fibonacci function when n equals 0?

• Return 1

• Return 0

• Return n

• Return n-1

Why is a runner function used in the Fibonacci implementation?

• To store results

• To simplify testing

• To optimize performance

• To handle errors

How is the Fibonacci number for n calculated recursively?

• Fibonacci(n) + Fibonacci(n-2)

• Fibonacci(n-2) + Fibonacci(n-3)

• Fibonacci(n) + Fibonacci(n-1)

• Fibonacci(n-1) + Fibonacci(n-2)

What is the value of the 6th element in the Fibonacci series?

• 21

• 13

• 8

• 5

What is the purpose of the 'else' clause in the recursive Fibonacci function?

• To handle base cases

• To terminate the function

• To calculate Fibonacci for n > 1

• To initialize variables

What is the 10th number in the Fibonacci sequence?

• 55

• 89

• 34

• 144

What topic will be covered in the next video?

• QuickSort Algorithm

• Binary Search

• MergeSort Algorithm

• Bubble Sort