Top 10 Advanced Python DSA Interview Questions and In-Depth Answers
Here are 10 advanced Python interview questions related to Data Structures and Algorithms (DSA) , along with in-depth answers: 1. How do you find the k-th largest element in an array? Problem: Find the k-th largest element in an unsorted array. Solution: import heapq def find_kth_largest (nums, k) : return heapq.nlargest(k, nums)[ -1 ] # Example nums = [ 3 , 2 , 1 , 5 , 6 , 4 ] k = 2 print(find_kth_largest(nums, k)) # Output: 5 Step-by-Step Explanation: Importing heapq : The heapq module in Python provides an implementation of the heap queue algorithm, also known as the priority queue algorithm. Defining the Function : The function find_kth_largest(nums, k) takes two arguments: nums : A list of numbers. k : An integer representing the position of the largest element we want to find. Using heapq.nlargest() : The heapq.nlargest(k, nums) function returns a list of the k largest elements from the nums list, sorted in descending order. For example, heapq.nlargest(2, [3, ...