PYTHON!! Solve problem by using PYTHON Program to remove the ith occurrence of the given word in list where words can repeat. Example Output: Enter the number of elements in list:6 Enter element1:"A" Enter element2: "B" Enter element3:"A" Enter element4:"A" Enter element 5: "C" Enter element 6:"A" ['A', 'B', 'A', 'A', 'C', 'A'] Enter word to remove: "A" Enter the occurence to remove: 3 ('The number of repitions is: ¹, 4) ('Updated list is: ', ['A', 'B', 'A', 'C', 'A'1) ('The distinct elements are: ', set (['A', 'C', 'B']))

Q: Problem Statement: Remove duplicate values from list In this lab, you will be building a software…

A: """Application that remove the duplicate values from the list""" #user define function to perform…

Q: def get_total_grade(info_list, show_steps = False):     """     param: info_list - a list that…

A: The python3 code is provided below as per the instructions :

Q: python code. Instructions are given below for each function. Run function is already done.  1) def…

A: A required program is as follows, Program: def num_to_digit_rec(num, base):     """     Return a…

Depth First Search

Depth-first search (DFS) also known as Depth First traversal is an algorithm used to traverse or search the nodes in a tree or graph data structure. Traversal usually means visiting all the nodes of a graph. DFS performs in a depth-ward manner. It uses a stack to remember the vertices it has visited. The search starts from the root node, where any arbitrary node is selected as a root node in a graph, and then each node is explored along each branch before performing backtracking. The DFS algorithm uses a recursive technique by following the idea of backtracking. DFS algorithm does this by performing an in-depth search of all the nodes by traversing in a forward direction. If the required node is not found, it starts backtracking to previously visited nodes.