"Object oriented programming makes code understandable by encapsulating moving parts. Functional programming makes code understandable by minimizing moving parts." | ||
| -- Michael Feathers | ||
The history of functional programming can be traced back to the Church and Rosser's original work on Lambda Calculus in 1936 and yet, the concepts and implementation of this important programming paradigm are somehow limited to academia while its object-oriented and imperative counterpart dominates the industry. Good news is, this trend is changing fast! With the functional paradigm support in modern programming languages, such as Scala, Clojure, F#, Ruby, and to some extent, the omnipresent JavaScript, the benefits of functional programming are being realized. The increased use of some classical functional languages, such as OCaml, Erlang, Scheme, and Lisp in high-concurrency environments has led to realization of the functional advantages of brevity, terseness, scalability and performance.
In this chapter, we will cover everything that a hobbyist F# developer, who is just starting his/her adventure in functional programming, needs to know in order to be able to follow the discussion through rest of the book. We will begin with a short explanation of F# language's rather special role in the functional programming world, and will explain why it isn't strictly a functional programming language. Throughout the book, and in this chapter particularly, we will address the historic sketches of functional languages and their predecessors. We will discuss F# language's roots in ML, the context in which F# works, that is, running on top of .NET stack, compiled to IL, utilizing BCL, and the hybrid nature of the languages. You will see several new terms used in this and the following chapters; these terms will have a cursory definition, but will be elaborated on as we discuss these topics in detail during subsequent chapters.
By the end of this chapter, you will be familiar with a brief history of functional programming. With comparative code examples, we will analyze code samples using mutable, and immulatable data structures as well as imperative control flow syntax that will allow you, the reader, to fully understand and embrace the hybrid nature of F#.
In this chapter, we will cover the following topics:
A brief overview of Functional Programming Paradigm
Thinking functional—why functional programming matters
The F# language primer
Benefits of functional programming and functional data structures
Code samples comparing imperative and functional styles