Mastering Data Structures and Algorithms with C#: Design Efficient Systems, Optimize Performance, and Think Like a Software Engineer - Softcover

Younker, William L.

9798278970682: Mastering Data Structures and Algorithms with C#: Design Efficient Systems, Optimize Performance, and Think Like a Software Engineer

Softcover

ISBN 13: 9798278970682

Publisher: Independently published, 2025

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Mastering Data Structures and Algorithms with C#: Design Efficient Systems, Optimize Performance, and Think Like a Software Engineer

Your C# code works—until it doesn’t scale. Latency creeps in, memory usage spikes, and systems that looked clean in development start failing under real load. The problem isn’t syntax or frameworks. It’s how data structures and algorithms behave inside real .NET systems.

This book addresses that problem head-on.

Mastering Data Structures and Algorithms with C# shows you how to think like a software engineer who designs for performance, correctness, and scalability from the start. Instead of treating algorithms as academic concepts or interview trivia, this book reframes them as practical engineering tools that directly impact throughput, reliability, and cost in production environments.

You’ll learn how core data structures actually interact with the .NET runtime, memory allocation, and garbage collection. You’ll see why certain algorithmic choices collapse at scale, how to measure real performance instead of guessing, and how to design solutions that hold up under pressure. Every topic—from arrays and hashing to trees, graphs, and dynamic programming—is grounded in real-world C# systems and modern .NET behavior.

By the end of this book, you will be able to:

Choose the right data structure before writing code, not after performance breaks
Design algorithms that scale predictably under real workloads
Measure and reason about time, memory, and GC impact in .NET
Apply graphs, trees, heaps, and dynamic programming to real engineering problems
Write C# code that is faster, safer, and easier to maintain at scale

This is not a reference manual and not a collection of abstract examples. All code is practical, complete, and contained within the book—no external repositories, no filler. The focus is on building judgment, not memorization.

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