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Mastering Elixir

You're reading from   Mastering Elixir Build and scale concurrent, distributed, and fault-tolerant applications

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781788472678
Length 574 pages
Edition 1st Edition
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Authors (2):
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André Albuquerque André Albuquerque
Author Profile Icon André Albuquerque
André Albuquerque
Daniel Caixinha Daniel Caixinha
Author Profile Icon Daniel Caixinha
Daniel Caixinha
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Table of Contents (13) Chapters Close

Preface 1. Preparing for the Journey Ahead FREE CHAPTER 2. Innards of an Elixir Project 3. Processes – The Bedrock of Concurrency and Fault Tolerance 4. Powered by Erlang/OTP 5. Demand-Driven Processing 6. Metaprogramming – Code That Writes Itself 7. Persisting Data Using Ecto 8. Phoenix – A Flying Web Framework 9. Finding Zen through Testing 10. Deploying to the Cloud 11. Keeping an Eye on Your Processes 12. Other Books You May Enjoy

The abstract syntax tree


You may have already heard about Abstract Syntax Trees (ASTs) in other languages. As the name indicates, these are tree-like data structures that represent the code syntax. In Elixir, we call these representations quoted expressions.

 

If we try to obtain the quoted expression of simple expressions, such as single atoms, strings, integers or floats, lists or two element tuples, we'll see their quoted representation doesn't change when compared to their normal representation. These elements are called literals because we get the same value after quoting them. Take a look at the following code:

iex> quote do: :"Funky.Atom"
:"Funky.Atom"

iex> quote do: ["a", "b", "c", "z"]
["a", "b", "c", "z"]

iex> quote do: 1.88
1.88

iex> quote do: "really big string but still simple"
"really big string but still simple"

iex> {:elixir, :rocks} == quote do: {:elixir, :rocks}
true

The tree form of the quoted expressions is created by nesting three-element tuples and can...

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