data structures with c

The books use C, C++, and C# for their examples — several titles explicitly include implementations and example code in C as well as C++ and C#.

Common topics include arrays, linked lists, stacks, queues, sets, hash tables, trees (binary and advanced), heaps and priority queues, and graphs — from basic structures to more advanced tree and graph variants.

Yes. Many of the books provide substantial example code, including full-source implementations, numerous code snippets, and ready-to-run examples.

They target a range from beginners with basic programming knowledge (including basic C or C++ familiarity) up to experienced software developers seeking deeper implementation details.

Beyond core structures, the books cover sorting and searching algorithms, numerical methods, data compression and encryption, graph algorithms (e.g., shortest paths), computational geometry, and applied problem-solving examples.

Example page counts listed include 298, 365, 372, and 560 pages — an overall range of roughly 298 to 560 pages across the set.

Some books emphasize visual aids: one notes extensive use of figures and examples, and another highlights illustrations to help visualize data structures and algorithms.

Yes. Descriptions mention performance analysis, comparisons of implementation efficiency, and best-practice guidance for optimizing data-structure implementations.