Question: Question 4 : Space Complexity ( 5 points ) ( a ) What is space complexity and why is it important in analyzing algorithms? (
Question : Space Complexity points
a What is space complexity and why is it important in analyzing algorithms? points
b Analyze the space complexity of the following code snippet and explain your reasoning: pointsPart : Practical Questions pointsQuestion : Algorithm Implementation 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. 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. points
Question : Data Structure Implementation 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. points
Question : Time Complexity Calculation points
Task: For the following Python function, calculate the time complexity:Explain each step in your analysis and justify the final time complexity.
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