Careers, Tech & Insights

Learn how to implement boundary traversal of a binary tree with optimal algorithms in Python, Java, and C++. Includes code examples and visualization.

Learn how to find the minimum swaps required to transform a binary tree into a BST with Python, Java, and C++ code examples and detailed explanations.

Learn how to transform an unbalanced Binary Search Tree into a balanced one with detailed code examples in Python, C++, and Java, plus time and space complexity analysi

Learn two efficient algorithms to verify if a binary tree is a valid BST with code examples in Python, Java, and C++. Includes optimized solution.

Learn how to find the height of a binary tree with recursive and iterative approaches. Includes Python, Java, and C++ code examples with detailed explanations.

Learn how to implement level order traversal in binary trees with code examples in Python, Java, C++ and visualization. Covers both recursive and queue-based approaches.

Learn efficient algorithms to find inorder successor and predecessor in Binary Search Trees with Python, Java, and C++ implementations and detailed visualizations.

Learn how to solve the Left View of a Tree problem using BFS and DFS algorithms with Python, C++, and Java code examples and step-by-step explanations.

Learn how to efficiently check if a binary tree is balanced using both brute force and optimized approaches, with code examples in Python, C++, and Java.

Learn how to calculate the diameter of a binary tree with both brute force and optimized approaches. Complete with Python, C++, Java code examples and Visualization.

Learn optimal approaches to find the Kth largest element in a Binary Search Tree with code examples in Python, C++, and Java. Includes both brute force and optimized methods.

Learn two efficient algorithms to find the nth node from the end of a linked list, with code examples in Python, Java, and C++. Perfect for coding interviews.

 Learn step-by-step how to convert a binary tree to a sum tree with optimized O(n) solution. Includes Python, Java, and C++ code examples and visual explanations.

Learn how to mirror a binary tree with step-by-step explanations and code samples in Python, Java, and C++. Compare brute force and optimized approaches.

Learn two approaches to find minimum and maximum values in a Binary Search Tree (BST) with Python, C++, and Java code examples and visual explanations.

Learn how to segregate even and odd nodes in a linked list with both brute force and optimized approaches. Includes Python, Java, C++ code examples and visualization.

Learn how to identify duplicate subtrees in binary trees using brute force and optimized serialization approaches with Python, C++, and Java code examples.

 Learn how to multiply large numbers represented as linked lists with brute force and optimised approaches, complete with Python, C++, Java code examples and visualization

Learn how to find the intersection of two sorted linked lists with both brute force and optimized approaches, complete with Python, C++, and Java examples.

Learn two approaches to convert a binary tree to a doubly linked list with Python, C++, and Java code examples. Optimized solution with O(1) space complexity.

Learn efficient algorithms for zig-zag binary tree traversal with complete code examples in Python, Java, and C++. Includes optimized approaches using deques.

Learn how to find the top view of a binary tree with step-by-step explanations, visual examples, and optimized code implementations in Python, Java, and C++.

Learn how to delete linked list nodes with greater values on their right side using both brute force and optimized approaches, with code examples in Python, C++, Java and Visualization

Learn how to find the right view of a binary tree using both BFS and DFS approaches, with complete code examples in Python, C++, and Java.

Learn how to add 1 to a number represented as a linked list with Python, Java, and C++ code examples with visualization, optimized solutions, and step-by-step explanations.

Learn how to efficiently count Binary Search Tree nodes within a range with optimized traversal techniques. Includes Python, Java, and C++ implementations.

 Learn how to implement preorder traversal of binary trees using both recursive and iterative approaches with Python, C++, Java code examples and visualization.

Learn how to find the Lowest Common Ancestor (LCA) in a binary tree with optimized and brute force approaches in Python, C++, and Java - with visual examples.

 Learn the edit distance algorithm with Python, Java, and C++ implementations. Understand how to optimize from brute force to dynamic programming solutions.

Learn how to reconstruct binary trees from inorder and preorder traversals with optimized algorithms, complete with Python, Java, and C++ code examples.

Learn how to implement reverse level order traversal for binary trees with optimized code examples in Python, Java, and C++. Includes time and space complexity analysis.

Learn how to find K largest elements in an array using brute force and optimized heap approaches with Python, C++, and Java code examples and visualization.

Learn how to perform diagonal traversal of binary trees with optimized algorithms and code examples in Python, C++, and Java - with clear explanations and visuals.

Learn how to replace array elements with their least greater element on the right using both brute force and optimized O(n log n) approaches with Python, C++, and Java code examples.

 Learn how to solve the Friends Pairing Problem using dynamic programming with optimized code examples in Python, Java, and C++. From recursion to O(n) efficiency.

Learn efficient algorithms to detect appointment conflicts with Python, C++, and Java code examples. Optimize from O(n²) to O(n log n) complexity using sweep line techniques.

Learn how to efficiently merge two binary max heaps with Python, C++, and Java implementations. Includes both brute force and optimized approaches with code examples.

Learn how to determine if a sequence represents a valid binary search tree preorder traversal with optimized algorithms and code examples in Python, C++, and Java.

Learn how to populate inorder successors in binary trees with optimized algorithms. Includes Python, Java, and C++ code examples with time and space complexity analysis.

Learn how to delete nodes from Binary Search Trees with step-by-step solutions covering all three cases, complete with Python, Java, and C++ code examples.

Learn how to find the Kth ancestor of a node in a binary tree with both brute force and optimized approaches. Includes Python, Java, and C++ code examples.

 Learn how to efficiently find the first non-repeating character in a character stream with optimized queue-based solution and code examples in Python, Java, and C++.

 Learn how to count node pairs from two Binary Search Trees that sum to a target value. Includes Python, Java, C++ code and visualization with optimized two-pointer technique.

 Learn how to construct binary trees from strings with bracket notation. Includes optimized recursive and iterative approaches with code examples in Python, Java, and C++.

Learn how to determine if two binary trees are mirror images of each other with optimized recursive solutions and sample code in Python, Java, and C++.

Learn efficient algorithms to verify if all leaf nodes in a binary tree are at the same level, with Python, C++, and Java code examples and optimized solutions.

 Learn how to implement Heap Sort with optimized code examples in Python, Java, and C++. Understand the algorithm, time complexity, and step-by-step sorting process.

Learn to solve the Gold Mine Problem using brute force and dynamic programming. Includes code examples in Python, C++, and Java with step-by-step explanations.

Learn how to find the Lowest Common Ancestor in a Binary Search Tree with optimized O(log n) solutions in Python, Java, and C++ with clear examples and explanations.

 Learn how to solve the Minimum Sum problem with optimized greedy algorithms and code examples in Python, Java, and C++. Improve your array manipulation skills.

Learn multiple approaches to calculate Catalan numbers with Python, C++, and Java code examples. Compare recursive vs. dynamic programming solutions.

Learn how to find the maximum sum of non-adjacent nodes in a binary tree using brute force and dynamic programming approaches with Python, C++, and Java code examples.

Learn how to detect duplicate subtrees in binary trees using brute force and optimized serialization techniques with Python, C++, and Java code examples.

Learn how to solve the Subset Sum Problem using brute force and dynamic programming approaches, with complete code examples in Python, Java, and C++.

Learn how to find the distance between two nodes in a binary tree with brute force and optimized approaches, complete with Python, Java, and C++ code examples.

Learn how to determine if two trees have identical structures through the tree isomorphism problem, with Python, C++, and Java code examples and optimized solutions.

Learn how to find the maximum element in each subarray of size k using both brute force and optimized sliding window approaches with code examples in Python, C++, and Java.

Learn how to solve the 0/1 Knapsack Problem using brute force and dynamic programming approaches, with implementation examples in Python, C++, and Java.

Learn how to solve the binomial coefficient problem with optimized algorithms. Includes Python, Java, and C++ code examples with time complexity analysis.

Learn how to efficiently convert a Binary Search Tree to a Min Heap with optimized algorithms, step-by-step explanations, and code examples in Python, Java and C++.

Learn how to check if a BST contains dead ends with optimized code examples in Python, Java, and C++. Includes both brute force and range-based approaches.

 Learn how to merge two Binary Search Trees with brute force and optimized approaches. Includes Python, C++, and Java code examples and step-by-step explanations.

Learn two approaches to find the Kth smallest element in a Binary Search Tree with optimized code examples in Python, Java, and C++. Time complexity analysis included.

Learn how to verify binary tree heap properties with Python, Java, and C++ code examples. Explore both brute force and optimized approaches with time complexity analysis.

Learn two approaches to merge K sorted arrays with detailed code examples in Python, C++, and Java. Understand the efficient min-heap solution over brute force.

Learn how to solve the classic 'Connect n Ropes with Minimum Cost' problem using priority queues and greedy algorithms. Includes Python, Java, and C++ code examples.

 Learn how to convert a Binary Search Tree to a sorted doubly linked list with optimized in-place algorithms and code examples in Python, Java, and C++.

Learn how to efficiently rebuild a Binary Search Tree from preorder traversal with optimized O(n) solutions in Python, Java, and C++, complete with code examples.

Learn brute force and optimized approaches to rearrange strings so no identical characters are adjacent. Includes Python, C++, and Java code examples.

Learn how to efficiently find the largest Binary Search Tree within a binary tree with examples in Python, Java, and C++. Optimize from O(n²) to O(n) time complexity.

 Discover how to find the median of a Binary Search Tree in O(n) time and O(1) space with Morris Traversal. Includes optimized code examples in Python, C++, and Java.

Learn how to convert a binary tree to a binary search tree while maintaining structure. Step-by-step explanation with Python, Java, and C++ code examples.

 Learn how to solve the Coin Change Problem using brute force and dynamic programming approaches with Python, C++, and Java code examples.

Learn how to efficiently find the median in a continuous stream of integers using heap data structures, with implementations in Python, Java, and C++.

 Learn how to calculate permutation coefficients efficiently with optimized algorithms in Python, C++, and Java, including code examples and step-by-step explanations.

Learn how to find array maximum and minimum values with minimal comparisons. Includes optimized algorithms in Python, Java, and C++ with example code.

Learn how to implement integer square root algorithms with both brute force and optimized binary search approaches. Includes Python, C++, and Java code examples.

Learn two efficient approaches to find fixed points in arrays (where value equals index) with example code in Python, Java, and C++. Includes binary search optimization.

Learn how to find the first and last positions of an element in a sorted array using both brute force and optimized binary search approaches with code examples.

Learn optimized approaches to find unique rows in boolean matrices with Python, C++ and Java code examples - from brute force to hash-based solutions.

Learn two approaches to group anagrams in Python, Java, and C++. See optimized code examples using hash maps to reduce time complexity from O(n²) to O(n).

Learn how to find triangles in directed and undirected graphs with optimized algorithms. Includes Python, C++, and Java code examples with time complexity analysis.

Learn how to efficiently find the shortest unique prefix for every word in a list using both brute force and optimized Trie-based approaches with Python, C++, and Java code examples.

Learn how to use depth-first search (DFS) to find paths longer than k in graphs with examples in Python, C++, and Java, plus optimization techniques.

Learn how to efficiently process ancestor queries in tree structures using DFS timing technique. Includes Python, C++, and Java implementations with complexity analysis.

Learn how to solve the Journey to the Moon graph problem using connected components, with optimized code examples in Python, C++, and Java.

Learn how to find the longest path in a directed acyclic graph (DAG) with optimized algorithms and code examples in Python, C++, and Java.

Learn how to detect negative cycles in directed graphs using brute force and Bellman-Ford algorithms, with Python, C++, and Java implementations.

Learn how to turn your GitHub into a powerful developer portfolio in 2025. Showcase real projects, use professional workflows, and attract more tech interviews with these expert tips."

Learn efficient techniques to determine if a graph is bipartite using BFS/DFS with Python, Java, and C++ implementations. Optimize from brute force to O(V+E) solutions.

Learn how to efficiently find strongly connected components in directed graphs using Kosaraju's Algorithm with Python, C++, and Java implementations.

Learn how to identify critical edges in graphs using brute force and Tarjan's algorithm. Complete Python, C++, and Java implementations with step-by-step explanations.

Learn how to implement the Floyd Warshall algorithm in Python, C++, and Java with optimized code examples for finding shortest paths between all vertices in a graph.

 Learn how to implement the Bellman Ford algorithm in Python, C++, and Java with complete code examples and handle negative edge weights in graph paths.

Learn how to calculate the total number of spanning trees in a graph using both brute force and Matrix-Tree Theorem approaches with Python, C++, and Java code examples.

Learn how to implement Prim's Algorithm to find minimum spanning trees in graphs with Python, C++, and Java examples - from brute force to optimized solutions.

Learn how to calculate minimum completion time for interdependent jobs using DAGs. Includes brute force and optimized approaches with Python, C++ and Java code examples.

Learn how to implement topological sort using Kahn's algorithm (BFS) and DFS with Python, C++, and Java code examples for dependency resolution in directed acyclic graphs.

Master Dijkstra's algorithm with Python, C++, and Java implementations. Learn how to optimize path-finding from O(V²) to O((V+E)logV) with priority queues.

Learn how to clone a graph using DFS and BFS traversal algorithms with complete Python, Java, and C++ code examples. Optimize your graph manipulation skills.