Learning Functional Programming: Managing Code Complexity by Thinking Functionally

Length: 200 pages
Edition: 1
Language: English
Publisher: O'Reilly Media
Publication Date: 2022-09-20
ISBN-10: 1098111753
ISBN-13: 9781098111755
Sales Rank: #0 (See Top 100 Books)

Learn how to think and write code like a functional programmer. With this practical guide, software developers familiar with object-oriented programming will dive into the core concepts of functional programming and learn how to use both functional and OOP features together on large or complex software projects.

Author Jack Widman uses samples from Java, Python, C#, Scala, and JavaScript to help you gain a new perspective and a set of tools for managing the complexity in your problem domain. You’ll be able to write code that’s simpler, reusable, easier to test and modify, and more consistently correct. This book also shows you how to use patterns from category theory to help bridge the gap between OOP and functional programming.

Learn functional programming fundamentals and explore the way functional programmers approach problems
Understand how FP differs from object-oriented and imperative programming
Use a set of practical, applicable design patterns that model reality in a functional way
Learn how to incorporate FP and OOP features into software projects
Apply functional design patterns appropriately and use them to write correct, robust, and easily modifiable code

1. What is Functional Programming?
    Immutability
    Referential Transparency
    Higher Order Functions
    Lazy Evaluation
    Thinking likek a functional programmer
    The Benefits of Functional Programming
        FP can improve productivity
        FP is fun!
2. Category Theory and Patterns
    Two Kinds of Patterns
    Category Theory Based Patterns
        Objects and Morphisms
        The category Set
        The category Scal
        Functors
    The Patterns
        The pattern Functor
        Monoids
        Natural Transformations
        Monads
        Conclusion
3. Functional Data Structures
    Introduction
    The Option Data Structure
    The Try Data Structure
    The Either Data Structure
    Higher-Order Functions
    Monads in for comprehensions in Scala
    Traditional Data Structures
        Immutability and History
        Laziness
    Summary
4. More on Immutability
    Introduction
    Mutable and Immutable Variables
    Recursion
        A Linked List Example
    Tail Recursion
    More Examples of the Power of fold in Scala
    A Connection between fold and Monoids
    More with Higher Order Functions
        From map to flatMap
    Conclusion
About the Author

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