DSA Theory
Deep-dive into the core concepts of Data Structures and Algorithms. Understand the memory layout, time complexities, and see how they are implemented from scratch.
Master Arrays Data Structure — Ultimate Guide
Learn Arrays in Data Structures and Algorithms (DSA) from scratch. Master contiguous memory, static vs dynamic arrays, standard operations, dry runs, multi-language syntax, time complexities, optimization techniques, quizzes, and FAQs.
Hash Tables Data Structure — Complete Guide
Master Hash Tables and Hash Maps in Data Structures and Algorithms (DSA). Learn Hash Functions, Collision Resolution (Chaining vs Open Addressing), Load Factor, and solve classic interview problems like Two Sum and Group Anagrams with JavaScript, Python, and C++.
Linked Lists Data Structure — Complete Guide
Master Linked Lists in Data Structures and Algorithms (DSA). Learn Singly, Doubly, and Circular Linked Lists, Pointer Manipulation, Floyd's Cycle Detection (Tortoise and Hare), Reverse Linked List, and LRU Cache design with JavaScript, Python, and C++.
Stacks in Data Structures
Master the Stack data structure in DSA. Learn LIFO principle, monotonic stacks, and solve real interview problems — Valid Parentheses, Next Greater Element, Largest Rectangle in Histogram, and Min Stack — with JavaScript, Python, and C++ code.
Binary Trees & Binary Search Trees (BST) — Complete Guide
Master Binary Trees and Binary Search Trees (BST). Learn tree traversals (DFS/BFS), height balancing, and solve classic interview problems like Lowest Common Ancestor, Diameter, and Level Order Traversal with JavaScript, Python, and C++.
Queues Data Structure — Complete Guide
Master the Queue data structure in Data Structures and Algorithms (DSA). Learn FIFO operations, Circular Queue, Double-Ended Queue (Deque), Priority Queue, and solve real interview problems like Implementing Stack using Queues and Sliding Window Maximum.
Graphs in Data Structures
Master Graph Data Structures and Algorithms. Learn BFS, DFS, Dijkstra's shortest path, topological sort, and Union-Find with step-by-step code examples in JavaScript, Python, and C++. Solve real interview problems with visual traces.
Heaps & Priority Queues — Complete Guide
Master Heaps and Priority Queues in Data Structures and Algorithms (DSA). Learn Min-Heap, Max-Heap, Heapify operations, Heap Sort, and solve classic interview problems like Kth Largest Element and Merge K Sorted Lists with JavaScript, Python, and C++.
Sorting Algorithms — Complete Guide with Visual Traces
Master all sorting algorithms with step-by-step visual traces. Learn Bubble Sort, Selection Sort, Insertion Sort, Merge Sort, Quick Sort, and Heap Sort — including time/space complexities, stability, and which to use when. Includes JavaScript, Python, and C++ implementations.
Dynamic Programming (DP) — Complete Guide
Master Dynamic Programming with step-by-step solved problems. Learn memoization, tabulation, and state transitions through Fibonacci, 0/1 Knapsack, Longest Common Subsequence, Coin Change, and House Robber — with JavaScript, Python, and C++ solutions.
Tries (Prefix Trees) — Complete Guide
Master the Trie (Prefix Tree) data structure. Learn how to implement a Trie from scratch, handle insertion, search, and prefix matching, and solve interview problems like Word Search II and Autocomplete with JavaScript, Python, and C++ implementations.
Recursion and Backtracking in Data Structures
Master Recursion and Backtracking in DSA. Understand the call stack, stack frames, base cases, recursion trees, and backtracking state space search with code examples in JavaScript, Python, and C++.
Bit Manipulation in Data Structures
Master Bit Manipulation in DSA. Learn binary representations, bitwise operators, masking, setting/getting/clearing bits, XOR tricks, and bitmask DP with JavaScript, Python, and C++ code examples.
Sliding Window Technique in Data Structures
Master the Sliding Window technique in DSA. Understand fixed and variable windows, subarray computations, and how to optimize brute-force algorithms from O(N²) to O(N) with JavaScript, Python, and C++ examples.
Two Pointers Technique in Data Structures
Master the Two Pointers technique in DSA. Learn how to optimize search space, reverse structures, detect cycles, and reduce time complexity from O(N²) to O(N) with JavaScript, Python, and C++ code examples.