Quick Functional Programming

Length: 128 pages
Edition: 1
Language: English
Publisher: Chapman and Hall/CRC
Publication Date: 2023-06-21
ISBN-10: 1032415312
ISBN-13: 9781032415314
Sales Rank: #0 (See Top 100 Books)

Why learn functional programming? Isn’t that some complicated ivory-tower technique used only in obscure languages like Haskell?

In fact, functional programming is actually very simple. It’s also very powerful, as Haskell demonstrates by throwing away all the conventional programming tools and using only functional programming features. But it doesn’t have to be done that way.

Functional programming is a power tool that you can use in addition to all your usual tools, to whatever extent your current mainstream language supports it. Most languages have at least basic support.

In this book we use Python and Java and, as a bonus, Scala. If you prefer another language, there will be minor differences in syntax, but the concepts are the same.

Give functional programming a try. You may be surprised how much a single power tool can help you in your day-to-day programming.

Cover
Half Title
Title Page
Copyright Page
Dedication
Table of Contents
About the Author
Preface
Chapter 1: What Is Functional Programming?
Chapter 2: Methods and Functions
	2.1 Methods
		2.1.1 Methods in Python
		2.1.2 Methods in Java
		2.1.3 Methods in Scala
	2.2 Function Literals
		2.2.1 Function Literals in Python
		2.2.2 Function Literals in Java
		2.2.3 Function Literals in Scala
	2.3 Sorting Examples
		2.3.1 Sorting in Python
		2.3.2 Sorting in Java
		2.3.3 Sorting in Scala
Chapter 3: Higher-Order Functions
	3.1 Higher-Order Functions in Python
	3.2 Higher-Order Functions in Java
	3.3 Higher-Order Functions in Scala
Chapter 4: Functional Interfaces in Java
	4.1 Single Abstract Methods
	4.2 Anonymous Inner Classes
	4.3 Defining Functional Interfaces
	4.4 Method References
	4.5 The Other Method Reference
	4.6 Provided Functional Interfaces
		4.6.1 IntPredicate
		4.6.2 Function Composition
		4.6.3 Predicates Again
		4.6.4 Unary Operators
		4.6.5 More Functions and Operators
		4.6.6 Suppliers and Consumers
Chapter 5: If Expressions
	5.1 If Expressions in Python
	5.2 If Expressions in Java
	5.3 If Expressions in Scala
Chapter 6: Comprehensions
	6.1 List Comprehensions in Python
	6.2 Comprehensions in Java
	6.3 For Expressions in Scala
	6.4 For Comprehensions in Scala
Chapter 7: Closures
	7.1 Closures in Python
	7.2 Closures in Java
	7.3 Closures in Scala
	7.4 Closure Example
Chapter 8: Currying
	8.1 Currying in Python
	8.2 Currying in Java
	8.3 Currying in Scala
Chapter 9: Function Composition
	9.1 Function Composition in Python
	9.2 Function Composition in Java
	9.3 Function Composition in Scala
Chapter 10: Optional Values
	10.1 Optional in Python
	10.2 Optional in Java
	10.3 Option in Scala
Chapter 11: Lists
	11.1 Recursion
	11.2 Lists in Python
	11.3 Lists in Java
	11.4 Lists in Scala
Chapter 12: Streams
	12.1 Generators in Python
	12.2 Streams in Java
	12.3 Numeric Streams in Java
	12.4 Streams in Scala
Chapter 13: Important Functions
	13.1 Important Functions in Python
	13.2 Important Functions in Java
	13.3 Important Functions in Scala
	13.4 Additional Functions in Scala
Chapter 14: Pipelines
	14.1 Pipelines in Python
	14.2 Pipelines in Java
		14.2.1 Intermediate Operations
		14.2.2 Terminal Operations
		14.2.3 Collectors
		14.2.4 Example
	14.3 Pipelines in Scala
Chapter 15: Summary and Final Examples
	15.1 Examples in Python
	15.2 Examples in Java
	15.3 Examples in Scala
Afterword
Index