Python 3: Project-based Python, Algorithms, Data Structures - Selection sort demonstration and complexity analysis

This video tutorial introduces the merge sort algorithm, focusing on setting up the function to merge two sorted lists into one. The instructor explains the initial setup, including defining lists and indices for iteration. The video covers comparing elements from two lists, appending the smaller element to a new sorted array, and testing the function's logic. The tutorial concludes with incrementing indices to ensure proper iteration through the lists, setting the stage for further steps in subsequent videos.

What is the primary purpose of the function discussed in the video?

• To sort a single list

• To merge two sorted lists into one sorted list

• To find the maximum element in a list

• To reverse a list

What are the indices 'I' and 'J' used for in the function?

• To store the length of the lists

• To keep track of the number of elements merged

• To iterate through the two lists

• To count the number of comparisons made

What is the first step in building the merge function?

• Compare the first elements of each list

• Sort the lists individually

• Print the initial lists

• Initialize the sorted array

What happens when the first element of the left list is smaller than the first element of the right list?

• Both elements are appended

• The element from the left list is appended

• No element is appended

• The element from the right list is appended

What should be done after appending an element from one of the lists?

• Append an element from the other list

• Increment the index of the list from which the element was appended

• Decrement the index of the other list

• Reset both indices to zero

What is the expected output when the first element of the right list is smaller?

• The element from the right list is appended

• No element is appended

• The element from the left list is appended

• Both elements are appended

What will be covered in the next video?

• Sorting a single list

• Using indices and an iterator to compare elements

• Reversing the lists

• Finding the maximum element in the lists