Data Structures

Learn how to solve the Snake and Ladder problem using BFS graph algorithms with Python, Java, and C++ code examples. Optimize from brute force to efficient solutions.

Learn how to evaluate expressions in Reverse Polish Notation using stacks. Includes optimized code examples in Python, C++, and Java with O(n) time complexity

Learn how to convert postfix expressions to infix notation using stack data structures with Python, C++, and Java examples and optimized approaches.

Learn how to implement a stack with constant-time minimum element retrieval using O(1) extra space. Complete with Python, C++, and Java code examples.

Learn how to detect redundant brackets in mathematical expressions using stack-based algorithms with Python, C++, and Java code examples. O(n) time complexity solution.

Learn how to reorder arrays using indices with O(n) solutions in Python, Java, and C++. Includes both brute force and optimized in-place approaches with code examples.

Learn how to sort a stack using only recursion and basic stack operations. Complete with Python, Java, and C++ code examples and time complexity analysis.

Learn how to efficiently find the Kth missing positive integer in a sorted array using brute force and optimized binary search approaches with code examples and visualization.

Learn how to solve the Next Greater Element problem using brute force and optimized stack-based approaches, with code examples in Python, C++, Java with visualization

Learn how to solve the Celebrity Problem using brute force and optimized O(n) approaches with Python, C++, and Java code examples. Perfect for technical interviews.

Learn how to reverse strings using stack data structures with Python, Java, and C++ code examples. Compare stack-based and optimized two-pointer approaches.

Learn how to solve the longest consecutive subsequence problem with O(n) time complexity using HashSets, with code examples in Python, C++, Java and visualization.

Learn efficient approaches to solve the Merge Intervals coding problem with Python, C++, and Java examples and visualization. Improve from O(n²) to O(n log n) time complexity.

Learn how to sort arrays in wave form using brute force and optimized O(n) approaches. Includes Python, Java, and C++ explanations and visualization.

Learn how to solve the multiple transaction stock buy and sell problem with optimized O(n) solutions in Python, Java, and C++, plus brute force approaches and visualization

Learn how to solve the Chocolate Distribution Problem with efficient sorting algorithms in Python, Java, and C++. Step-by-step explanation with code examples and visualization.

Learn how to find the length of the longest valid parentheses substring with optimized stack-based solutions in Python, C++, and Java, including code examples with visualization.

Learn how prefix sum transforms O(n) operations into O(1) queries. Includes Code in Python, Java, C++, and practical applications for array problems with visualization.

Learn how to find the equilibrium index in arrays with optimized O(n) solution. Complete with Python, Java, and C++ code examples and step-by-step explanations with visualization.

Learn how to count inversions in an array using brute force and optimized merge sort approaches, with code examples in Python, C++, and Java. Visualization included !!

Learn how to solve the 'Longest Subarray with Equal 0s and 1s' problem with optimized O(n) solutions in Python, Java, and C++, complete with examples, code and visualization.

Learn how to find a subarray with a given sum using brute force and optimized sliding window approaches, with Python, C++, and Java code examples and visualization.

Learn how to solve the Product of Array Except Self problem in O(n) time using prefix and suffix products. Includes Python, Java and C++ implementations with visualization.

Learn how to implement linear search in Python, C++, and Java with optimized techniques. Complete code examples and step-by-step explanations included with the visualization.

Discover how to find leaders in an array using both brute force and optimized approaches, with Python, C++, and Java code examples with visualization.

Learn how to solve the 'Remove Duplicates from Sorted Array' problem with optimal O(n) time complexity using in-place modifications and two-pointer techniques.

Master suffix sum algorithms with code examples in Python, C++, and Java. Learn implementation techniques for efficient range queries and subarray operations along with Visualization

Master the sliding window technique with this guide featuring Python, Java, and C++ code examples. Learn how to optimize from O(n²) to O(n) time complexity.

Master array operations with clear code examples. Learn searching, traversal, insertion, and deletion algorithms with time complexity analysis and practical implementations.