Algorithms and Data Structures in C# (.NET)
300 pages
English
PDF
4.5

Algorithms and Data Structures in C# (.NET)

Algorithms and Data Structures in C# (.NET)

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Summary:

The book "Algorithms and Data Structures in C# (.NET)" is a practical guide that helps developers master fundamental Computer Science concepts on the .NET platform. The author, Andrey Sokolov, organizes the material so that the reader not only memorizes ready-made solutions but learns to choose and design algorithms for specific tasks.



What this book is about

The book covers a full range of topics necessary for confident work with data:

  • Basic Structures: arrays, lists, stacks, queues, hash tables and their implementation in C#.
  • Trees and Graphs: binary search trees, AVL trees, red-black trees, graph traversals (BFS, DFS), Dijkstra's and A* algorithms.
  • Sorting and Searching: from bubble sort and quicksort to binary search and interpolation search.
  • Dynamic Programming: knapsack problems, finding the longest common subsequence, recursion optimization.
  • Memory Management: managing reference and value types, garbage collection, impact on performance.


Who this book is for

  • Beginning C# developers who want to deepen their knowledge of algorithms.
  • Junior and Middle developers preparing for technical interviews.
  • Students and teachers studying Computer Science on the .NET platform.
  • Programmers transitioning from other languages to C# who want to master its idioms.


What you will learn

After reading the book, you will be able to:

  • Implement data structures from scratch, understanding their internal workings.
  • Analyze the time and space complexity of algorithms (Big O).
  • Use standard .NET collections (List, Dictionary, HashSet, Queue, Stack) deliberately, knowing their strengths and weaknesses.
  • Solve typical interview problems in C# (LeetCode, Codeforces, HackerRank).
  • Design high-performance code using Span, Memory, and ValueTask.


Each chapter contains ready-made examples in C# as well as assignments for independent work. The book is written in a lively style, without excessive academicism, making it useful both for self-study and for use as a reference.



"Algorithms and Data Structures in C# (.NET)" will become your reliable assistant in the world of professional development on the Microsoft platform.

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