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Hands-On Design Patterns with C# and .NET Core

You're reading from   Hands-On Design Patterns with C# and .NET Core Write clean and maintainable code by using reusable solutions to common software design problems

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Product type Paperback
Published in Jul 2019
Publisher Packt
ISBN-13 9781789133646
Length 410 pages
Edition 1st Edition
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Authors (2):
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Jeffrey Chilberto Jeffrey Chilberto
Author Profile Icon Jeffrey Chilberto
Jeffrey Chilberto
Gaurav Aroraa Gaurav Aroraa
Author Profile Icon Gaurav Aroraa
Gaurav Aroraa
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Table of Contents (19) Chapters Close

Preface 1. Section 1: Essentials of Design Patterns in C# and .NET Core FREE CHAPTER
2. Overview of OOP in .NET Core and C# 3. Modern Software Design Patterns and Principles 4. Section 2: Deep Dive into Utilities and Patterns in .NET Core
5. Implementing Design Patterns - Basics Part 1 6. Implementing Design Patterns - Basics Part 2 7. Implementing Design Patterns - .NET Core 8. Implementing Design Patterns for Web Applications - Part 1 9. Implementing Design Patterns for Web Applications - Part 2 10. Section 3: Functional Programming, Reactive Programming, and Coding for the Cloud
11. Concurrent Programming in .NET Core 12. Functional Programming Practices 13. Reactive Programming Patterns and Techniques 14. Advanced Database Design and Application Techniques 15. Coding for the Cloud 16. Miscellaneous Best Practices 17. Assessments 18. Other Books You May Enjoy

Functional Programming Practices

The previous chapter (Chapter 8, Concurrent Programming in .NET Core) introduced concurrent programming in .NET Core, and the aim of the chapter was to take advantage of async/await and parallelism, to make our program more performant.

In this chapter, we will get a taste of functional programming, using the C# language. We will also dive deeper into the concepts that show you how to leverage C# in .NET Core to perform functional programming. The aim of this chapter is to help you understand what functional programming is and how we can use it using the C# language.

Functional programming was inspired by mathematics, and it solves problems in a functional way. In mathematics, we have formulas and, in functional programming, we use math in the form of various functions. The best part of functional programming is that it helps to implement concurrency...

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