I tackle the problem of searching in a Binary Search Tree (BST) using a recursive approach. I demonstrate how to efficiently find a node with a given value and return the subtree rooted at that node. Python Code:
I dive into solving the “100. Same Tree” problem from LeetCode using Python. I demonstrate how to use a recursive Depth-First Search (DFS) approach to determine if two binary trees are identical. By systematically comparing each node’s value and their respective subtrees. Python code:
I tackle the problem of finding the Lowest Common Ancestor (LCA) in a Binary Search Tree (BST). I explain the time and space complexities involved. This concise walkthrough is perfect for anyone looking to understand how to efficiently determine the LCA and grasp the underlying algorithmic principles. Python Code:
I dive into solving the “242. Valid Anagram” problem from LeetCode using Python. I demonstrate a step-by-step approach to checking if two strings are anagrams by leveraging character frequency counts and dictionary comparisons.
In my latest video, I tackle the problem of finding the maximum depth of a binary tree using Python. I walk through a straightforward Breadth-First Search (BFS) approach, demonstrating how to efficiently compute the depth level by level. Python Code:
In my latest video, I tackle LeetCode problem 226, “Invert Binary Tree,” using Python. I demonstrate an efficient approach to recursively swap the left and right children of each node, providing a step-by-step solution that highlights key algorithms and coding techniques. Python code:
In this video, we dive into the implementation of a Trie (Prefix Tree) in Python, a fundamental data structure for efficient prefix-based queries. Watch as we break down the process of inserting words, searching for exact matches, and checking for prefixes, all while highlighting key algorithms and practical applications like autocomplete and spell checking. Python…
In this video, I tackle the problem of reversing a singly linked list, showcasing both iterative and recursive solutions. We provide clear, step-by-step explanations of each approach, demonstrating how they work and in the end highlighting their time and space complexities. Check out the Python code below to see these methods in action. Python Code:
In this video, we tackle LeetCode’s problem “20. Valid Parentheses” using Python. We demonstrate how to efficiently determine if a string of brackets is valid by utilizing a stack data structure to ensure that every opening bracket is properly matched and closed in the correct order. Watch as we break down the algorithm and explain…
In this blog post, we’ll learn how to find duplicate numbers in arrays using Python. We’ll use a smart method with hash sets to quickly check if any number appears more than once. This approach is fast and shows how to solve common coding problems effectively. Python code:
