Book Image

Clean Code with C# - Second Edition

By : Jason Alls
4.5 (2)
Book Image

Clean Code with C# - Second Edition

4.5 (2)
By: Jason Alls

Overview of this book

Traditionally associated with Windows desktop applications and game development, C# has expanded into web, cloud, and mobile development. However, despite its extensive coding features, professionals often encounter issues with efficiency, scalability, and maintainability due to poor code. Clean Code in C# guides you in identifying and resolving these problems using coding best practices. This book starts by comparing good and bad code to emphasize the importance of coding standards, principles, and methodologies. It then covers code reviews, unit testing, and test-driven development, and addresses cross-cutting concerns. As you advance through the chapters, you’ll discover programming best practices for objects, data structures, exception handling, and other aspects of writing C# computer programs. You’ll also explore API design and code quality enhancement tools, while studying examples of poor coding practices to understand what to avoid. By the end of this clean code book, you’ll have the developed the skills needed to apply industry-approved coding practices to write clean, readable, extendable, and maintainable C# code.
Table of Contents (18 chapters)

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...