Collections and Generics in C# 10

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Zoran Horvat

4:43:34

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01. Course Overview

1. Course Overview.mp4

01:47

02. Introducing Collections and Generics

1. Introduction.mp4

06:04

2. Initializing Environment and Projects.mp4

03:42

3. Understanding Natural Division of Collections.mp4

05:18

4. Understanding the Role of Generics.mp4

04:13

5. Understanding the Need for Collections.mp4

05:57

6. Summary.mp4

01:26

03. Using Linear Collections- Lists and Arrays

1. Encapsulating Collections.mp4

02:06

2. Encapsulating a List.mp4

04:58

3. Justifying Decisions.mp4

03:02

4. Imposing Views upon a Collection.mp4

03:39

5. Completing the Design.mp4

06:25

6. Inventing Shuffling Algorithm.mp4

04:49

7. Implementing Data Randomization Algorithm.mp4

06:24

8. Summary.mp4

02:38

04. Building on Ordered and Partially Ordered Lists

1. Designing an Abstract Collection Interface.mp4

05:55

2. Applying Pagination to a Sorted List.mp4

05:50

3. Implementing the List Projection Class.mp4

02:57

4. Completing the Design.mp4

06:36

5. Understanding Partitioning and Partial Sorting.mp4

03:58

6. Summary.mp4

02:30

05. Measuring and Optimizing Performance

1. Measuring Performance.mp4

06:29

2. Understanding Optimization via Redesign.mp4

05:55

3. Using Benchmark to Explore Viable Redesigns.mp4

06:20

4. Picking Low Hanging Fruit.mp4

06:03

5. Summary.mp4

02:19

06. Using Generic Types in the Object Model

1. Understanding Variance.mp4

05:19

2. Demonstrating Variance.mp4

05:46

3. Designing a Covariant Generic Type.mp4

05:29

4. Understanding Compilers View on Generics in .NET.mp4

02:59

5. Summary.mp4

01:22

07. Designing Generic Types

1. Implementing a Concrete Generic Type.mp4

05:27

2. Demonstrating Concrete Generic Class.mp4

02:07

3. Applying Generic Type Inference.mp4

04:54

4. Using Constrained Generics.mp4

05:26

5. Summary.mp4

01:30

08. Using Associative Collections

1. Introducing Associative Collections.mp4

05:15

2. Implementing a Dictionary-based Class.mp4

05:46

3. Indexing Items by a Sorted Key.mp4

02:44

4. Wrapping a Collection within an Immutable Class.mp4

06:49

5. Identifying Memory Pressure Problems.mp4

04:58

6. Improving Sharing of Immutable Objects.mp4

06:20

7. Summary.mp4

01:50

09. Engineering Solutions Using Associative Collections

1. Favoring Simple Design over the Complex One.mp4

04:26

2. Implementing a Transparent Object Cache.mp4

02:55

3. Designing Classes Based on Association.mp4

05:16

4. Compensating Service Access Time in Chatty Protocols.mp4

05:18

5. Designing a General-purpose Read-through Cache.mp4

06:12

6. Improving Performance of a Chatty Service.mp4

04:47

7. Summary.mp4

02:43

10. Engineering Custom Linear Collections

1. Seeing the Power of Linear Collections.mp4

02:55

2. Implementing a Percentiles Calculator.mp4

05:15

3. Demonstrating the Calculator.mp4

03:13

4. Implementing the Outliers Remover.mp4

05:05

5. Designing a Projection onto a Collection.mp4

05:54

6. Demonstrating the Outliers Remover.mp4

05:02

7. Summary.mp4

01:45

11. Engineering Queuing Solutions

1. Identifying the Role of Queues and Stacks.mp4

03:17

2. Implementing the Sliding Window Class.mp4

05:05

3. Implementing the Work Items Window.mp4

04:33

4. Demonstrating the Sliding Window Algorithm.mp4

03:24

5. Constructing the Maximum Queue.mp4

04:40

6. Implementing the Maximum Queue.mp4

04:12

7. Demonstrating the Maximum Queue.mp4

03:54

8. Summary.mp4

02:22

Description

Working with multitudes of objects and using generics requires understanding of programming theory and textbook algorithms. This course will teach you effective use of .NET collections and power of generalization through generic classes and methods.

What You'll Learn?

Processing many objects is usually tied with knowing non-trivial algorithms, as well as with meeting nonfunctional requirements, such as time and space considerations or deferred execution. In this course, Collections and Generics in C# 10, you’ll learn to consume and process many objects with optimal algorithms. First, you’ll explore algorithms on linear and associative collections, such as lists, arrays, dictionaries, etc. Next, you’ll discover how to generalize algorithms by applying advanced generics to your classes and methods. Finally, you’ll learn how to combine existing collections to build your own highly specialized collections that are applicable in business models. When you’re finished with this course, you’ll have the skills and knowledge of algorithms that apply to many objects, needed to develop highly optimized business applications.

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C#

Zoran Horvat

Instructor's Courses

Zoran Horvat is Principal consultant at Coding Helmet Consultancy, speaker and author of 100+ articles, and independent trainer on .NET technology stack. He can often be found speaking at conferences and user groups, promoting object-oriented development style and clean coding practices and techniques that improve longevity of complex business applications.

Pluralsight

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