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Clean Code with C#

Clean Code with C#

By : Jason Alls
4.5 (2)
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Clean Code with C#

Clean Code with C#

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)
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Chapter 12

  1. Functional programming is a programming paradigm that treats computation as the evaluation of mathematical functions and avoids mutable data and state changes. It differs from imperative programming, where programs are written as sequences of statements that change the program’s state.
  2. Functional data transformation in C# can be achieved using pure functions and LINQ. By using LINQ methods such as Select, Where, and Aggregate, developers can transform data without modifying the original data structure. For example, numbers.Select(x => x * 2) will create a new sequence with each element doubled.
  3. Functional error handling in C# involves representing errors as data instead of using exceptions. Option types and the Maybe monad are data structures that are used for error handling. Option types represent the presence or absence of a value, while the Maybe monad represents the success or failure of an operation. Using these constructs, developers can handle...

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