Data Structures & Algorithms
The structures and patterns interviews actually ask about, with worked solutions.
16 chapters
- 01Chapter 1: Arrays & Strings - Foundation of Data Structures
- 02Chapter 2: Linked Lists - Dynamic Memory Management
- 03Chapter 3: Stacks & Queues - LIFO and FIFO Data Structures
- 04Chapter 4: Hash Tables & Maps - Efficient Key-Value Storage
- 05Chapter 5: Trees - Hierarchical Data Structures
- 06Chapter 6: Recursion Basics - The Art of Self-Reference
- 07Chapter 7: Sorting Algorithms - Organizing Data Efficiently
- 08Chapter 8: Searching Algorithms - Finding Data Efficiently
- 09Chapter 9: Tree Traversals - Navigating Hierarchical Data
- 10Chapter 10: Basic Graph Theory - Understanding Connected Data
- 11Chapter 11: Two Pointers - Efficient Array & String Processing
- 12Chapter 12: Sliding Window - Optimizing Subarray & Substring Problems
- 13Chapter 13: Basic Dynamic Programming - Optimizing Through Subproblems
- 14Chapter 14: Backtracking - Systematic Solution Space Exploration
- 15Chapter 15: Simple Greedy Algorithms - Making Locally Optimal Choices
- 16Mini-Project: Task Management System with Advanced Data Structures