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  • Book Overview & Buying Functional Programming with C#
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Functional Programming with C#

Functional Programming with C#

By : Alex Yagur
Buy this Book
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Functional Programming with C#

Functional Programming with C#

By: Alex Yagur
Buy this Book

Overview of this book

In an era where software complexity is increasing by the day, functional programming offers a paradigm that simplifies code maintenance and enhances reliability. Functional Programming with C# takes you on an exhaustive journey into functional programming within C#. The book familiarizes you with the core principles and benefits of functional programming, juxtaposing it with imperative and object-oriented paradigms. You’ll get to grips with the functional features of C# and learn to write expressive, modular code through expressions, pure functions, and higher-order functions. As you advance, you’ll explore advanced concepts such as error handling and asynchronous programming, which will equip you with the practical skills that you need to tackle real-world challenges. By comparing functional programming in C# with other languages and providing additional resources, this book ensures that you’re well-equipped to continue your journey toward mastery in functional programming. By the end of this book, you’ll have gained a thorough understanding of functional programming techniques, such as recursion, memoization, and composition, empowering you to write robust, maintainable code.
Table of Contents (18 chapters)
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Preface
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Preface
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Who this book is for
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What this book covers
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To get the most out of this book
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Conventions used
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Get in touch
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Share Your Thoughts
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Download a free PDF copy of this book
Lock Free Chapter
1
Part 1:Foundations of Functional Programming in C#
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Part 1:Foundations of Functional Programming in C#
2
Chapter 1: Getting Started with Functional Programming
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Chapter 1: Getting Started with Functional Programming
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Functional versus imperative versus object-oriented programming
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How functional programming is supported in C#
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How to write functional code in C#
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A practical example – a book publishing system
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How to combine functional and object-oriented paradigms
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Meet Steve and Julia
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Summary
3
Chapter 2: Expressions and Statements
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Chapter 2: Expressions and Statements
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Task 1 – Name and count all expressions and all statements
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Task 2 – Use expressions instead of statements
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Task 3 – Create an expression tree
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Understanding the difference between expressions and statements
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How to use expressions for clear and simple code
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Lambda expressions, expression-bodied members, and anonymous methods
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Expression trees and how to use them to manipulate expressions at runtime
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Guided exercise – constructing and manipulating expression trees
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Problem sets and exercises
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Exercises
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Solutions
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Summary
4
Chapter 3: Pure Functions and Side Effects
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Chapter 3: Pure Functions and Side Effects
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Task 1 – Refactoring to a pure function
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Task 2 – Isolating side effects
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Task 3 – Using a Pure attribute
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Understanding pure functions
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Side effects
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Strategies to minimize side effects
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Marking pure functions with the Pure attribute
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Exercises
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Solutions
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Summary
5
Chapter 4: Honest Functions, Null, and Option
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Chapter 4: Honest Functions, Null, and Option
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Task 1 – Refactor for honest return types
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Task 2 – Guard against null inputs
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Task 3 – Pattern matching with nullable types
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Honest functions – definition and understanding
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The problems with hidden nulls
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Embracing honesty with nullable reference types
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Returning with intention
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Demanding honesty from function inputs
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Pattern matching and nullable types
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The null object pattern
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Beyond null – using Option
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Practical scenarios – handling nulls effectively
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The reality of honesty in C# – why there will never be truly honest functions
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The compromises of the C# language design
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Practical tips and best practices
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Exercises
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Solutions
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Summary
6
Part 2:Advanced Functional Techniques
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Part 2:Advanced Functional Techniques
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Chapter 5: Error Handling
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Chapter 5: Error Handling
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Task 1 – Custom error types and result usage
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Task 2 – Utilizing ROP for validation and processing
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Task 3 – Implementing a Retry mechanism using functional techniques
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Traditional error handling in C#
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The Result type
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Railway-Oriented Programming (ROP)
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Designing your own error-handling mechanisms
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Practical tips for functional error handling
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Traditional versus functional error handling comparison
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Patterns and anti-patterns in functional error handling
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Solutions
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Summary
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Chapter 6: Higher-Order Functions and Delegates
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Chapter 6: Higher-Order Functions and Delegates
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Task 1 – Sorting function
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Task 2 – Customized calculations
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Task 3 – Comparison
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Understanding higher-order functions
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Delegates, actions, funcs, and predicates
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Callbacks, events, and anonymous methods
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Harnessing LINQ methods as higher-order functions
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Case study – putting it all together
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Best practices and common pitfalls
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Exercises
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Solutions
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Summary
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Chapter 7: Functors and Monads
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Chapter 7: Functors and Monads
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Task 1 – Functor usage
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Task 2 – Applicative functor
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Task 3 – Monad usage
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What’s a functor?
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Applicative functors
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Monads
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Key takeaways
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Exercises
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Solutions
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Summary
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Part 3:Practical Functional Programming
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Part 3:Practical Functional Programming
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Chapter 8: Recursion and Tail Calls
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Chapter 8: Recursion and Tail Calls
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Task 1 – Recursive enemy count
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Task 2 – Wave generation
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Task 3 – Asynchronously updating enemy stats
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Introducing recursion
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Recursive thinking
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Types of recursion
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Challenges of recursion
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Leveraging C# features for recursion
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Advanced recursive patterns
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Comparison with iterative solutions
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Recursion in asynchronous programming
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Synchronous versus asynchronous recursion
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Exercises
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Solutions
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Summary
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Chapter 9: Currying and Partial Application
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Chapter 9: Currying and Partial Application
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Task 1 – Currying tower attack functions
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Task 2 – Partial application for game settings
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Task 3 – Currying permission checks for game features
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Understanding currying
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Step-by-step implementation of currying
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Partial application
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Areas for partial application
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Challenges and limitations
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Exercises
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Solutions
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Summary
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Chapter 10: Pipelines and Composition
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Chapter 10: Pipelines and Composition
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Task 1 – Enemy wave processing pipeline
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Task 2 – Game data file processing
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Task 3 – Dynamic SQL query generation using currying and partial application
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Function composition
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Building pipelines
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Performance considerations
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The fluent interface
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Advanced composition with monads
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Exercises
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Solutions
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Summary
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Part 4:Conclusion and Future Directions
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Part 4:Conclusion and Future Directions
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Chapter 11: Reflecting and Looking Ahead
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Chapter 11: Reflecting and Looking Ahead
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A summary of the main concepts and techniques
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Comparison with other languages
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Resources for further learning
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Closing thoughts
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Index
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Index
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Why subscribe?
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Other Books You May Enjoy
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Other Books You May Enjoy
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Packt is searching for authors like you
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Share Your Thoughts
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Download a free PDF copy of this book

The Result type

Instead of dealing with exceptions after they occur, what if we designed our code to anticipate and elegantly communicate errors? Please welcome the Result type, a cornerstone of functional error handling.

At its core, the Result type encapsulates either a successful value or an error. It might sound similar to exceptions, but there’s a key difference: errors become first-class citizens, directly influencing your application’s flow.

In contrast to the Option type that can only distinguish existing values from non-existing, the Result type describes the error that happened and, more importantly, can be used to chain methods application. We will discuss that technique later in this chapter.

For instance, traditionally, a method might return a value or throw an exception:

public Product GetProduct(int id)
{
    var product = _productRepository.Get(id);
    if(product is null)
    {
&...
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Functional Programming with C#
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