| Chapter | Topic | Key Concepts Covered | | :--- | :--- | :--- | | 1 | Introduction | Fundamental concepts of data structures and algorithm analysis | | 2 | Arrays, Pointers, and Structures | Building a strong base in C for data structures | | 3 | Linked Lists | Implementing dynamic data structures: singly, doubly, and circular linked lists | | 4 | Stacks and Queues | Linear data structures and their applications | | 5 | Recursion | Exploring its power and techniques with examples | | 6 | Trees | Hierarchical structures: binary trees, BST, AVL trees, and tree traversals | | 7 | Graphs | Advanced non-linear structures: representations (adjacency matrix, adjacency list) and traversals (BFS, DFS) | | 8 | Sorting | Essential algorithms: bubble, selection, insertion, quick, and merge sort | | 9 | Searching and Hashing | Efficient data retrieval: linear/sequential and binary search, hash functions, and collision handling | | 10 | Storage Management | Memory organization and management |
Here are some of the most valuable GitHub repositories associated with the book:
While having a PDF copy of the textbook is convenient for reading on a tablet or second screen, relying solely on a PDF limits your growth. Combining the text with GitHub is the ultimate setup for several reasons:
