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Smooth, powerful, and small, the Elixir programming language is an excellent place for newcomers to learn about functional programming. This book shows readers how Elixir combines the robust functional programming of Erlang with an approach that looks more like Ruby. Readers will learn how Elixir simplifies some of Erlang's odder corners and reaches toward metaprogramming with powerful macro features. Updated to cover Elixir 1.4.-- Source other than the Library of Congress.

Elixir will change the way you think about programming. Use your Ruby experience to quickly get up to speed so you can see what all of the buzz is about. Go from zero to production applications that are reliable, fast, and scalable. Learn Elixir syntax and pattern matching to conquer the basics. Then move onto Elixir's unique process model that offers a world-class way to go parallel without fear. Finally, use the most common libraries like Ecto, Phoenix, and Oban to build a real-world SMS application. Now's the time. Dive in and learn Elixir.Whether you're a seasoned Ruby developer looking to expand your skill set or a programming beginner looking for a solid foundation in Elixir, this book has what you need to get up to speed quickly. Elixir is a functional language with a fairly small footprint. This makes it easier to learn and put into production than other languages. Plus, it's built on forty-year-old foundations that give your applications rock-solid stability.The first part of this book is all about developing expertise in the language. Learn about the core data types, build application data structures, enumerate over data, and use pattern matching to control the flow of an application. Elixir has an amazing process model that allows for (actually) easy parallel processing. Learn how to tap into this process model so you can leverage that power yourself.The second part of this book builds a real-world application using the most important libraries in a web developer's toolbox. Each library is compared to its similar Ruby library so you'll quickly see similarities and differences. We'll use Ecto, Phoenix, and Oban to build a SMS application powered by Twilio.What are you waiting for? Tap into your Ruby knowledge and start building scalable Elixir applications today.What You Need:You'll need Elixir 1.14+ and Erlang/OTP 24+ installed on a Mac OS X, Linux, or Windows machine.

Elixir will change the way you think about programming. Use your Ruby experience to quickly get up to speed so you can see what all of the buzz is about. Go from zero to production applications that are reliable, fast, and scalable. Learn Elixir syntax and pattern matching to conquer the basics. Then move onto Elixir's unique process model that offers a world-class way to go parallel without fear. Finally, use the most common libraries like Ecto, Phoenix, and Oban to build a real-world SMS application. Now's the time. Dive in and learn Elixir.Whether you're a seasoned Ruby developer looking to expand your skill set or a programming beginner looking for a solid foundation in Elixir, this book has what you need to get up to speed quickly. Elixir is a functional language with a fairly small footprint. This makes it easier to learn and put into production than other languages. Plus, it's built on forty-year-old foundations that give your applications rock-solid stability.The first part of this book is all about developing expertise in the language. Learn about the core data types, build application data structures, enumerate over data, and use pattern matching to control the flow of an application. Elixir has an amazing process model that allows for (actually) easy parallel processing. Learn how to tap into this process model so you can leverage that power yourself.The second part of this book builds a real-world application using the most important libraries in a web developer's toolbox. Each library is compared to its similar Ruby library so you'll quickly see similarities and differences. We'll use Ecto, Phoenix, and Oban to build a SMS application powered by Twilio.What are you waiting for? Tap into your Ruby knowledge and start building scalable Elixir applications today.What You Need:You'll need Elixir 1.14+ and Erlang/OTP 24+ installed on a Mac OS X, Linux, or Windows machine.

Successful user interfaces need to be visually interesting, fast, and flowing. The React.js JavaScript library supercharges view-heavy web applications by improving data flow between UI components. React sites update visual elements efficiently and smoothly, minimizing page reloads. React is developer friendly, with a strong ecosystem to support the dev process along the full application stack. And becuse it's all JavaScript. React is instantly familiar. React Quickly is the tutorial for web developers who want to get started fast with React.js. Following carefully chosen and clearly explained examples, you'll learn React development using your existing JavaScript and web dev skills. You'll explore a host of different projects as you learn about web components, forms and data.\"--Back cover.

The Elixir Nx project aims to make machine learning possible without the need to leave Elixir for solutions in other languages. And even if concepts like linear models and logistic regression are new to you, you'll be using them and much more to solve real-world problems in no time. Start with the basics of the Nx programming paradigm—how it differs from the Elixir programming style you're used to and how it enables you to write machine learning algorithms. Use your understanding of this paradigm to implement foundational machine learning algorithms from scratch. Go deeper and discover the power of deep learning with Axon. Unlock the power of Elixir and learn how to build and deploy machine learning models and pipelines anywhere. Learn how to analyze, visualize, and explain your data and models. Discover how to use machine learning to solve diverse problems from image recognition to content recommendation—all in your favorite programming language.

Data is everywhere - it's just not very well connected, which makes it super hard to relate dataset to dataset. Using graphs as the underlying glue, you can readily join data together and create navigation paths across diverse sets of data. Add Elixir, with its awesome power of concurrency, and you'll soon be mastering data networks. Learn how different graph models can be accessed and used from within Elixir and how you can build a robust semantics overlay on top of graph data structures. We'll start from the basics and examine the main graph paradigms. Get ready to embrace the world of connected data!Graphs provide an intuitive and highly flexible means for organizing and querying huge amounts of loosely coupled data items. These data networks, or graphs in math speak, are typically stored and queried using graph databases. Elixir, with its noted support for fault tolerance and concurrency, stands out as a language eminently suited to processing sparsely connected and distributed datasets.Using Elixir and graph-aware packages in the Elixir ecosystem, you'll easily be able to fit your data to graphs and networks, and gain new information insights. Build a testbed app for comparing native graph data with external graph databases. Develop a set of applications under a single umbrella app to drill down into graph structures. Build graph models in Elixir, and query graph databases of various stripes - using Cypher and Gremlin with property graphs and SPARQL with RDF graphs. Transform data from one graph modeling regime to another. Understand why property graphs are especially good at graph traversal problems, while RDF graphs shine at integrating different semantic models and can scale up to web proportions.Harness the outstanding power of concurrent processing in Elixir to work with distributed graph datasets and manage data at scale.What You Need:To follow along with the book, you should have Elixir 1.10+ installed. The book will guide you through setting up an umbrella application for a graph testbed using a variety of graph databases for which Java SDK 8+ is generally required. Instructions for installing the graph databases are given in an appendix.

The Elixir programming language has become a go-to tool for creating reliable, fault-tolerant, and robust server-side applications. Thanks to Nerves, those same exact benefits can be realized in embedded applications. This book will teach you how to structure, build, and deploy production grade Nerves applications to network-enabled devices. The weather station sensor hub project that you will be embarking upon will show you how to create a full stack IoT solution in record time. You will build everything from the embedded Nerves device to the Phoenix backend and even the Grafana time-series data visualizations.Elixir as a programming language has found its way into many different software domains, largely in part to the rock-solid foundation of the Erlang virtual machine. Thanks to the Nerves framework, Elixir has also found success in the world of embedded systems and IoT. Having access to all of the Elixir and OTP constructs such as concurrency, supervision, and immutability makes for a powerful IoT recipe. Find out how to create fault-tolerant, reliable, and robust embedded applications using the Nerves framework.Build and deploy a production-grade weather station sensor hub using Elixir and Nerves, all while leveraging the best practices established by the Nerves community for structuring and organizing Nerves applications. Capture all of your weather station sensor data using Phoenix and Ecto in a lightweight server-side application. Efficiently store and retrieve the time-series weather data collected by your device using TimescaleDB (the Postgres extension for time-series data). Finally, complete the full stack IoT solution by using Grafana to visualize all of your time-series weather station data. Discover how to create software solutions where the underlying technologies and techniques are applicable to all layers of the project.Take your project from idea to production ready in record time with Elixir and Nerves.What You Need:To complete the Nerves weather station project in this book, you will need the following:A Linux, MacOS, or Windows computer to build and deploy Nerves firmware imagesA Raspberry Pi Zero W or any other Nerves supported target ( https://hexdocs.pm/nerves/targets.html #supported-targets-and-systems)A VEML6030 light sensorAn BME680 environmental sensorAn SGP30 air quality sensorQwiic connect cables for weather sensors

Access the power of bare-metal systems programming with Scala Native, an ahead-of-time Scala compiler. Without the baggage of legacy frameworks and virtual machines, Scala Native lets you re-imagine how your programs interact with your operating system. Compile Scala code down to native machine instructions; seamlessly invoke operating system APIs for low-level networking and IO; control pointers, arrays, and other memory management techniques for extreme performance; and enjoy instant start-up times. Skip the JVM and improve your code performance by getting close to the metal.Developers generally build systems on top of the work of those who came before, accumulating layer upon layer of abstraction. Scala Native provides a rare opportunity to remove layers. Without the JVM, Scala Native uses POSIX and ANSI C APIs to build concise, expressive programs that run unusually close to bare metal. Scala Native compiles Scala code down to native machine instructions instead of JVM bytecode. It starts up fast, without the sluggish warm-up phase that's common for just-in-time compilers. Scala Native programs can seamlessly invoke operating system APIs for low-level networking and IO. And Scala Native lets you control pointers, arrays, and other memory layout types for extreme performance.Write practical, bare-metal code with Scala Native, step by step. Understand the foundations of systems programming, including pointers, arrays, strings, and memory management. Use the UNIX socket API to write network client and server programs without the sort of frameworks higher-level languages rely on. Put all the pieces together to design and implement a modern, asynchronous microservice-style HTTP framework from scratch.Take advantage of Scala Native's clean, modern syntax to write lean, high-performance code without the JVM.What You Need:A modern Windows, Mac OS, or Linux system capable of running Docker. All code examples in the book are designed to run on a portable Docker-based build environment that runs anywhere. If you don't have Docker yet, see the Appendix for instructions on how to get it.