About this video

Programmers often concentrate on studying the specifics of programming languages and libraries. However, to write efficient code, you also need to know the right data structures and algorithms that have to be used in different situations. By understanding how to compare algorithms in terms of time and complexity, you’ll be able to implement the right one to resolve everyday programming problems.

In this course, you’ll learn about common algorithms and understand how to estimate their efficiency. You’ll also get to grips with the essential data structures that you can use to perform typical programming tasks. You’ll make steady progress as you learn how to implement data structures and algorithms in the latest C# language available with .NET Core, and you'll review .NET built-in data structures. This will help you to write well-structured and efficient programs. As you approach the concluding sections, you’ll delve into several common programming problems and solutions, which will help you to fix issues with your code and optimize your programming processes.

By the end of this course, you’ll have the skills you need to start writing more efficient code and build further on your C# data and algorithm knowledge.

The code bundle for this course is available at - https://github.com/PacktPublishing/-C-8-Data-Structures-and-Algorithms

Style and Approach

This course will give you a practical understanding of data structures and algorithms that you should use for common programming problems and to determine if your code is efficient or whether there might be a better solution. These concepts are explained practically in this video course with examples, and quizzes will be used to test the knowledge you've learned.

Publication date:
March 2019
4 hours 41 minutes

About the Author

  • Eugene Agafonov

    Eugene Agafonov leads the development department at ABBYY and lives in Moscow. He has over 15 years' professional experience in software development, and he started working with C# when it was in its Beta version. He was a Microsoft MVP in development technologies in 2006-2018, and he often speaks at local software development conferences in Russia about cutting-edge technologies in modern distributed applications development. His main professional interests are cloud-based software architecture, scalability, and reliability. He is the author of the Multithreading with C# Cookbook and Mastering C# Concurrency books by Packt Publishing.

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