Learning Elixir

Unveil many hidden gems of programming functionally by taking the foundational steps with Elixir



Bookstore > Books > Learning Elixir

Price$27.99 - $44.43
Rating
AuthorKenny Ballou
PublisherPackt Publishing
Published2016
Pages286
LanguageEnglish
FormatPaper book / ebook (PDF)
ISBN-101785881744
ISBN-139781785881749
EBook Hardcover Paperback

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.





2 5 4

Similar Books


Machine Learning Yearning

Machine Learning Yearning

by Andrew Ng

AI is transforming numerous industries. Machine Learning Yearning, a free ebook from Andrew Ng, teaches you how to structure Machine Learning projects.This book is focused not on teaching you ML algorithms, but on how to make ML algorithms work. After reading Machine Learning Yearning, you will be able to: Prioritize the most promising di...

Publisher:  Self-publishing  |  Release:  2018

Deep Learning Pipeline

Deep Learning Pipeline

by Hisham El-Amir, Mahmoud Hamdy

Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book shows you how to build a deep learning pipeline for real-life TensorFlow projects. You'll learn what a pipeline is and how it works so you can build a full application easily and rapidly. Then troubleshoot and overcome basic ...

Price:  $30.46  |  Publisher:  Apress  |  Release:  2020

Deep Learning with Python

Deep Learning with Python

by Nihkil Ketkar

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This new edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Faceboo...

Price:  $32.99  |  Publisher:  Apress  |  Release:  2020

Next-Generation Machine Learning with Spark

Next-Generation Machine Learning with Spark

by Butch Quinto

Access real-world documentation and examples for the Spark platform for building large-scale, enterprise-grade machine learning applications.The past decade has seen an astonishing series of advances in machine learning. These breakthroughs are disrupting our everyday life and making an impact across every industry.Next-Generation Machine...

Price:  $26.41  |  Publisher:  Apress  |  Release:  2020

Learning TensorFlow

Learning TensorFlow

by Itay Lieder, Yehezkel Resheff, Tom Hope

Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language proc...

Price:  $14.57  |  Publisher:  O'Reilly Media  |  Release:  2017

TensorFlow for Deep Learning

TensorFlow for Deep Learning

by Reza Zadeh, Bharath Ramsundar

Learn how to solve challenging machine learning problems with Tensorflow, Google's revolutionary new system for deep learning. If you have some background with basic linear algebra and calculus, this practical book shows you how to build - and when to use - deep learning architectures. You'll learn how to design systems capable of detecti...

Price:  $27.99  |  Publisher:  O'Reilly Media  |  Release:  2018

Machine Learning with Python Cookbook

Machine Learning with Python Cookbook

by Chris Albon

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems such as loading data, handling text or numerical data, model...

Price:  $43.62  |  Publisher:  O'Reilly Media  |  Release:  2018

Elixir in Action

Elixir in Action

by Sasa Juric

Elixir in Action teaches you how to solve practical problems of scalability, concurrency, fault tolerance, and high availability using Elixir. You'll start with the language, learning basic constructs and building blocks. Then, you'll learn to think about problems using Elixir's functional programming mindset. With that solid foundation, ...

Price:  $35.99  |  Publisher:  Manning  |  Release:  2015