Beginning Data Structures and Algorithms in C# [Video]

Beginning Data Structures and Algorithms in C# [Video]

Marcin Jamro

Explore the possibilities of C# for developing a variety of applications
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Video Description

Data structures allow us to organize data efficiently. They are critical to various problems and their suitable implementation can provide a complete solution that acts like reusable code. In this course, you will learn how to use various data structures while developing in the C# language as well as how to implement some of the most common algorithms used with such data structures.
Initially, you will get to know arrays, lists, dictionaries, and sets together with real-world examples of your application. Then you will learn how to create and use stacks and queues. In the following part of the book, more complex data structures will be introduced—trees and graphs—together with some algorithms for searching the shortest path in a graph. We will also discuss how to organize code in a manageable, consistent, and extendable way. By the end of the course, you will have learned how to build components that are easy to understand, debug, and use in different applications. All the code and supporting files for this course are available on Github at https://github.com/PacktPublishing/Beginning-Data-Structures-and-Algorithms-in-C-Sharp

Style and Approach

Viewers will be taken through all indispensable data structures and algorithms so they can begin their coding journey in C#. At each step, the videos will show how to implement these via examples while also discussing the attributes of each algorithm so viewers can make an informed choice.

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What You Will Learn

  • How to use arrays and lists to get better results in complex scenarios
  • Implement algorithms such as the Tower of Hanoi on stacks of C# objects
  • Build enhanced applications by using hashtables, dictionaries, and sets
  • Make a positive impact on application efficiency with tree traversal
  • Effectively find the shortest path in the graph

Authors

Video Details

ISBN 139781789610352
Course Length2 hours 49 minutes
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