Book Image

Learning Elixir

By : Kenny Ballou, Kenneth Ballou
Book Image

Learning Elixir

By: Kenny Ballou, Kenneth Ballou

Overview of this book

Elixir, based on Erlang’s virtual machine and ecosystem, makes it easier to achieve scalability, concurrency, fault tolerance, and high availability goals that are pursued by developers using any programming language or programming paradigm. Elixir is a modern programming language that utilizes the benefits offered by Erlang VM without really incorporating the complex syntaxes of Erlang. Learning to program using Elixir will teach many things that are very beneficial to programming as a craft, even if at the end of the day, the programmer isn't using Elixir. This book will teach you concepts and principles important to any complex, scalable, and resilient application. Mostly, applications are historically difficult to reason about, but using the concepts in this book, they will become easy and enjoyable. It will teach you the functional programing ropes, to enable them to create better and more scalable applications, and you will explore how Elixir can help you achieve new programming heights. You will also glean a firm understanding of basics of OTP and the available generic, provided functionality for creating resilient complex systems. Furthermore, you will learn the basics of metaprogramming: modifying and extending Elixir to suite your needs.
Table of Contents (16 chapters)
Learning Elixir
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Determinism


There is a lot of emphasis on the results of these branching expressions returning a value. This is a natural result of Elixir's functional nature.

Like with functions, we can more easily grok and reason about branching code if the code itself is deterministic. If it always returns a result, the branches are tractable. Our mental compilers are able to trace the code and see the result without much extra thought.

The branching examples we have done don't nest either. This arises because it is often unnecessary in functional languages to nest conditions. The syntax often lends itself to allow a single level of branching. If there's more branching, it's in another function, or implicit with pattern matching, or both; we only mentally page the branch depth that we need.

Mental easiness aside, there is also a technical reason for branch determinism in Elixir.

To more easily explain this technical aspect, let's look at another, very common, runtime environment—the Java Virtual Machine...