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.
Enroll now: C# Data Structures and Algorithms
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
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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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