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Programming Elixir 1.6 - Dave Thomas - Bog - The Pragmatic Programmers - Plusbog.dk

Programming Elixir 1.6 - Dave Thomas - Bog - The Pragmatic Programmers - Plusbog.dk

This book is the introduction to Elixir for experienced programmers, completely updated for Elixir 1.6 and beyond. Explore functional programming without the academic overtones (tell me about monads just one more time). Create concurrent applications, butget them right without all the locking and consistency headaches. Meet Elixir, a modern, functional, concurrent language built on the rock-solid Erlang VM. Elixir''s pragmatic syntax and built-in support for metaprogramming will make you productive and keep you interestedfor the long haul. Maybe the time is right for the Next Big Thing. Maybe it''s Elixir. Functional programming techniques help you manage the complexities of today''s real-world, concurrent systems; maximize uptime; and manage security. Enter Elixir, with its modern, Ruby-like, extendable syntax, compile and runtime evaluation, hygienic macro system, and more. But, just as importantly, Elixir brings a sense of enjoyment to parallel,functional programming. Your applications become fun to work with, and the language encourages you to experiment. Part 1 covers the basics of writing sequential Elixir programs. We''ll look at the language, the tools, and the conventions. Part 2 uses these skills to start writing concurrent code-applications that use all the cores on your machine, or all the machines on your network! And we do it both with and without OTP. Part 3 looks at the more advanced features of the language, from DSLs and code generation to extending the syntax. This edition is fully updated with all the new features of Elixir 1.6, with a new chapter on structuring OTP applications, and new sections on the debugger, code formatter, Distillery, and protocols. What You Need: You''ll need a computer, a little experience with another high-levellanguage, and a sense of adventure. No functional programmingexperience is needed.

DKK 430.00
1

Machine Learning in Elixir - Sean Moriarity - Bog - The Pragmatic Programmers - Plusbog.dk

Machine Learning in Elixir - Sean Moriarity - Bog - The Pragmatic Programmers - Plusbog.dk

Stable Diffusion, ChatGPT, Whisper - these are just a few examples of incredible applications powered by developments in machine learning. Despite the ubiquity of machine learning applications running in production, there are only a few viable language choices for data science and machine learning tasks. Elixir''s Nx project seeks to change that. With Nx, you can leverage the power of machine learning in your applications, using the battle-tested Erlang VM in a pragmatic language like Elixir. In this book, you''ll learn how to leverage Elixir and the Nx ecosystem to solve real-world problems in computer vision, natural language processing, and more. 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. What You Need: You''ll need a computer with a working installation of Elixir v1.12 and Erlang/OTP 24. For some of the more compute intensive examples, you''ll want to use EXLA, which currently only supports x86-64 platforms. While not explicitly required, some examples will demonstrate programs running on accelerators such as CUDA/ROCm enabled GPUs and Google TPUs. Most of these programs will still run fine on a regular CPU, just for much longer periods of time.

DKK 485.00
1

Network Programming in Elixir and Erlang - Andrea Leopardi - Bog - The Pragmatic Programmers - Plusbog.dk

Network Programming in Elixir and Erlang - Andrea Leopardi - Bog - The Pragmatic Programmers - Plusbog.dk

TCP, UDP, DNS, HTTP, and more: these are the network protocols that make up the fabric of the Internet. Erlang and Elixir are the perfect fit for building network-intensive applications—the BEAM''s actor model perfectly mirrors the way nodes operate in a network. Learn about networking and the power of the BEAM to write performant and reliable network applications. Create systems that are scalable, resilient, and efficient, thanks to language primitives and OTP. Take advantage of an ecosystem that has been solving network problems for more than thirty years. Learn about design patterns and common pitfalls for network applications on the BEAM. From smart appliances to gigantic data centers, from phones to satellites, networks are the way computers talk to each other. Learn how to use network protocols, choose or design serialization protocols, and architect systems with servers and clients. Start with the most widely-used protocol on the Internet: TCP. Build a chat server where multiple clients can chat in real time. Explore client-side TCP by building a client for Redis. Scale and harden server and client, thanks to features of the BEAM. Then dig into UDP, TCP''s "looser" sibling. Code a system for reporting metrics capable of rivaling hardened software like StatsD. Learn about DNS, which powers domain resolution for the Internet. Next, secure your TCP traffic with TLS. Lastly, explore HTTP, the protocol that even your microwave could be using. Build a JSON API, client, and server. Learn the differences between HTTP/1.1 and HTTP/2, and add real-time features via WebSockets. The BEAM was built for networks and has been honed for more than three decades. It''s the perfect fit. Leverage years of real-world experience building network-intensive applications from a member of the Elixir core team, and become an expert at network programming in Elixir and Erlang. What You Need: You''ll need a computer running a standard distribution of Erlang/OTP, and optionally Elixir. Any recent version of OTP (22 or later) and Elixir (1.11 or later) is fine. For some parts of the book, you''ll also need a working Internet connection.

DKK 463.00
1

Property-Based Testing with PropEr, Erlang, and Eliixir - Fred Hebert - Bog - The Pragmatic Programmers - Plusbog.dk

Property-Based Testing with PropEr, Erlang, and Eliixir - Fred Hebert - Bog - The Pragmatic Programmers - Plusbog.dk

Property-based testing helps you create better, more solid tests with little code. By using the PropEr framework in both Erlang and Elixir, this book teaches you how to automatically generate test cases, test stateful programs, and change how you design your software for more principled and reliable approaches. You will be able to better explore the problem space, validate the assumptions you make when coming up with program behavior, and expose unexpected weaknesses in your design. PropEr will even show you how to reproduce the bugs it found. With this book, you will be writing efficient property-based tests in no time. Most tests only demonstrate that the code behaves how the developer expected it to behave, and therefore carry the same blind spots as their authors when special conditions or edge cases show up. Learn how to see things differently with property tests written in PropEr. Start with the basics of property tests, such as writing stateless properties, and using the default generators to generate test cases automatically. More importantly, learn how to think in properties. Improve your properties, write custom data generators, and discover what your code can or cannot do. Learn when to use property tests and when to stick with example tests with real-world sample projects. Explore various testing approaches to find the one that''s best for your code. Shrink failing test cases to their simpler expression to highlight exactly what breaks in your code, and generate highly relevant data through targeted properties. Uncover the trickiest bugs you can think of with nearly no code at all with two special types of properties based on state transitions and finite state machines. Write Erlang and Elixir properties that generate the most effective tests you''ll see, whether they are unit tests or complex integration and system tests. What You Need - Basic knowledge of Erlang, optionally Elixir - For Erlang tests: Erlang/OTP = 20.0, with Rebar = 3.4.0 - For Elixir tests: Erlang/OTP = 20.0, Elixir = 1.5.0

DKK 440.00
1

Functional Programming - A PragPub Anthology - Michael Swaine - Bog - The Pragmatic Programmers - Plusbog.dk

Functional Programming - A PragPub Anthology - Michael Swaine - Bog - The Pragmatic Programmers - Plusbog.dk

Explore functional programming and discover new ways of thinking about code. You know you need to master functional programming, but learning one functional language is only the start. In this book, through articles drawn from PragPub magazine and articles written specifically for this book, you''ll explore functional thinking and functional style and idioms across languages. Led by expert guides, you''ll discover the distinct strengths and approaches of Clojure, Elixir, Haskell, Scala, and Swift and learn which best suits your needs. Contributing authors: Rich Hickey, Stuart Halloway, Aaron Bedra, Michael Bevilacqua-Linn, Venkat Subramaniam, Paul Callaghan, Jose Valim, Dave Thomas, Natasha Murashev, Tony Hillerson, Josh Chisholm, and Bruce Tate. Functional programming is on the rise because it lets you write simpler, cleaner code, and its emphasis on immutability makes it ideal for maximizing the benefits of multiple cores and distributed solutions. So far nobody''s invented the perfect functional language - each has its unique strengths. In Functional Programming: A PragPub Anthology , you''ll investigate the philosophies, tools, and idioms of five different functional programming languages. See how Swift, the development language for iOS, encourages you to build highly scalable apps using functional techniques like map and reduce. Discover how Scala allows you to transition gently but deeply into functional programming without losing the benefits of the JVM, while with Lisp-based Clojure, you can plunge fully into the functional style. Learn about advanced functional concepts in Haskell, a pure functional language making powerful use of the type system with type inference and type classes. And see how functional programming is becoming more elegant and friendly with Elixir, a new functional language built on the powerful Erlang base.The industry has been embracing functional programming more and more, driven by the need for concurrency and parallelism. This collection of articles will lead you to mastering the functional approach to problem solving. So put on your explorer''s hat and prepare to be surprised. The goal of exploration is always discovery. What You Need: Familiarity with one or more programming languages.

DKK 438.00
1

Real-World Event Sourcing - Kevin Hoffman - Bog - The Pragmatic Programmers - Plusbog.dk

Real-World Event Sourcing - Kevin Hoffman - Bog - The Pragmatic Programmers - Plusbog.dk

Reality is event-sourced; your mind processes sight, sound, taste, smell, and touch to create its perception of reality. Software isn''t that different. Applications use streams of incoming data to create their own realities, and when you interpret that data as events containing state and context, even some of the most complex problems become easily solvable. Unravel the theory behind event sourcing and discover how to put this approach into practice with practical, hands-on coding examples. From early-stage development through production and release, you''ll unlock powerful new ways of clearing even the toughest programming hurdles. Our applications are bombarded with data. It''s hard enough to derive state from that data, let alone discover how we arrived at that state. With event sourcing you can treat the stream of data as a simple sequence of events that you use to construct whatever state you need. Event sourcing is more than events; it adds patterns, rules, and constraints to produce robust and easy-to-maintain systems. In this book, you''ll learn which rules can never be broken and which ones are flexible. By grounding yourself in theory, rules, and practical approaches, you''ll be able to build real-world, event-sourced applications. Get your hands dirty with fundamental event-sourcing building blocks such as commands, aggregates, projectors, process managers, injectors, and notifiers. Combine these building blocks to produce elegant solutions to complex problems. Leave "hello world" far behind as you tackle the more advanced aspects of event sourcing that give you the confidence you need to run these applications in production. Leverage event sourcing to create distributed applications with ease; model and handle failure; and deal with replays, schema evolution, security, and much more. This book doesn''t shy away from confronting the hard parts of event sourcing, instead giving you clear advice and examples for tackling the most difficult details. Empower your applications with the full force of event sourcing today. What You Need: You''ll need a computer preferably running MacOS, Linux, or WSL/Ubuntu on Windows. You''ll install everything else you need (such as Elixir and an event store) as you progress through the book.

DKK 445.00
1