C# Data Structures and Algorithms

C# Data Structures and Algorithms, available at $44.99, has an average rating of 3.7, with 20 lectures, based on 22 reviews, and has 170 subscribers.

You will learn about Pick optimal solutions for your daily programming tasks by working with algorithms and data structures Apply C# built-in the Collections library and use it right out-of-the-box Work with strings in C# to optimize performance Understand how to sort and search algorithms Discover the moving-pointer approach for common linked-list problems. Use dictionaries and sets, implementation principles, and C# specifics Employ binary numbers and bit manipulation in C# Apply advanced data structures such as trees, heaps, and graphs This course is ideal for individuals who are This course is for C# developers who want to learn about algorithms and data structures. It is particularly useful for This course is for C# developers who want to learn about algorithms and data structures.

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Summary

Title: C# Data Structures and Algorithms

Price: $44.99

Average Rating: 3.7

Number of Lectures: 20

Number of Published Lectures: 20

Number of Curriculum Items: 20

Number of Published Curriculum Objects: 20

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Pick optimal solutions for your daily programming tasks by working with algorithms and data structures
Apply C# built-in the Collections library and use it right out-of-the-box
Work with strings in C# to optimize performance
Understand how to sort and search algorithms
Discover the moving-pointer approach for common linked-list problems.
Use dictionaries and sets, implementation principles, and C# specifics
Employ binary numbers and bit manipulation in C#
Apply advanced data structures such as trees, heaps, and graphs

Who Should Attend

This course is for C# developers who want to learn about algorithms and data structures.

Target Audiences

This course is for C# developers who want to learn about algorithms and data structures.

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.

About The Author

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.

Course Curriculum

Chapter 1: Getting Started with Algorithms

Lecture 1: The Course Overview

Lecture 2: Preparing the Development Environment

Lecture 3: Using C# and Base Class Library

Lecture 4: Understanding and Comparing Algorithms

Lecture 5: Measuring C# Program Performance

Chapter 2: Arrays and Strings

Lecture 1: Working with Arrays and Strings

Lecture 2: Array Lists

Lecture 3: Searching Algorithms

Lecture 4: Sorting Algorithms

Chapter 3: Linked Lists Stacks and Queues

Lecture 1: Implementing a Linked List

Lecture 2: Moving Pointer Approach

Lecture 3: Stack and Queue

Chapter 4: Dictionaries and Sets

Lecture 1: Implementing a Hash Table

Lecture 2: C# Hash Table Based Collections

Chapter 5: Bit Manipulations, Recursion, and Dynamic Programming

Lecture 1: Binary Numbers and Logic

Lecture 2: Bit Array and Bit Tricks

Lecture 3: Recursion and Dynamic Programming

Chapter 6: Trees, Heaps, and Graphs Structures

Lecture 1: Trees

Lecture 2: Heaps

Lecture 3: Graphs

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 1 votes
2 stars: 1 votes
3 stars: 6 votes
4 stars: 9 votes
5 stars: 5 votes

Frequently Asked Questions

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