Data Structures & Algorithms
From Fundamentals to Advanced Problem Solving
Master data structures and algorithms from fundamentals to advanced topics. Interactive visualizations, multi-language implementations (C, Python, C++, TypeScript), real-world applications, and comprehensive interview preparation.
Foundations— Algorithmic thinking and complexity analysis.
Introduction to Algorithmic Thinking
Develop the mindset for solving computational problems systematically
Complexity Analysis
The language of efficiency - measuring algorithm performance
Mathematical Foundations
Essential mathematics for algorithm analysis
Recursion Mastery
Master the recursive paradigm and call stack mechanics
Linear Structures— Arrays, linked lists, stacks, queues, hash tables.
Arrays
The foundation of all data structures - contiguous memory storage
Linked Lists
Pointers, nodes, and flexible memory allocation
Stacks
LIFO data structure and its powerful applications
Trees— BST, AVL, Red-Black, heaps, and advanced trees.
Tree Fundamentals
Hierarchical data structures and tree traversals
41 sections. Begin with one.
Chapter 1 — Introduction to Algorithmic Thinking — is where every reader starts.
In progress — 41 of 261 lessons published
220 more sections are still being written and are not part of this count.