Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Clean Code with C#

You're reading from   Clean Code with C# Refactor your legacy C# code base and improve application performance using best practices

Arrow left icon
Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781837635191
Length 492 pages
Edition 2nd Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Jason Alls Jason Alls
Author Profile Icon Jason Alls
Jason Alls
Arrow right icon
View More author details
Toc

Table of Contents (18) Chapters Close

Preface 1. Chapter 1: Coding Standards and Principles in C# 2. Chapter 2: Code Review – Process and Importance FREE CHAPTER 3. Chapter 3: Classes, Objects, and Data Structures 4. Chapter 4: Writing Clean Functions 5. Chapter 5: Exception Handling 6. Chapter 6: Unit Testing 7. Chapter 7: Designing and Developing APIs 8. Chapter 8: Addressing Cross-Cutting Concerns 9. Chapter 9: AOP with PostSharp 10. Chapter 10: Using Tools to Improve Code Quality 11. Chapter 11: Refactoring C# Code 12. Chapter 12: Functional Programming 13. Chapter 13: Cross-Platform Application Development with MAUI 14. Chapter 14: Microservices 15. Assessments 16. Index 17. Other Books You May Enjoy

Concurrency with functional programming

Concurrency with functional programming in C# involves handling concurrent and parallel execution of code in a way that avoids shared mutable state and embraces functional programming principles. It focuses on creating independent, immutable data and pure functions to manage concurrent operations, promoting safety, modularity, and scalability.

Here are some key aspects of concurrency with functional programming in C#:

  • Immutable data: Functional programming encourages the use of immutable data structures, where data cannot be modified after creation. By avoiding a shared mutable state, concurrent operations can work independently without interfering with each other’s data. Immutable data reduces the risk of race conditions and other concurrency-related bugs.
  • Pure functions: Pure functions, which produce the same output for the same input and have no side effects, are inherently suitable for concurrent programming. Since pure...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image