Question: Question 4 : Space Complexity ( 5 points ) ( a ) What is space complexity and why is it important in analyzing algorithms? (

Question 4: Space Complexity (5 points)
(a) What is space complexity and why is it important in analyzing algorithms? (2 points)
(b) Analyze the space complexity of the following code snippet and explain your reasoning: (3 points)Part 2: Practical Questions (25 points)Question 5: Algorithm Implementation (10 points)
Task: Write a Python function to find the second largest element in an unsorted list of integers. Analyze the time complexity of your implementation. (5 points)
Task: Implement a Python function to reverse a string using a stack data structure. Explain how a stack is used in this case and analyze the time complexity of your implementation. (5 points)
Question 6: Data Structure Implementation (10 points)
Task: Write a Python class that implements a Queue using two stacks. Implement the following methods:
enqueue(): Adds an element to the queue.
dequeue(): Removes and returns the front element of the queue.
Analyze the time complexity for both enqueue and dequeue operations. (5 points)
Question 7: Time Complexity Calculation (5 points)
Task: For the following Python function, calculate the time complexity:Explain each step in your analysis and justify the final time complexity.
Question 4 : Space Complexity ( 5 points ) ( a )

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