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Functional Programming In Scala

Learners will build small to medium size Scala applications by applying knowledge and skills including: functional programming, parallel programming, manipulation of large data sets, higher-order functions, property-based testing, functional reactive programming.

Functional Programming in Scala


Functional programming is becoming increasingly widespread in industry. This trend is driven by the adoption of Scala as the main programming language for many applications. Scala fuses functional and object-oriented programming in a practical package. It interoperates seamlessly with both Java and Javascript. Scala is the implementation language of many important frameworks, including Apache Spark, Kafka, and Akka. It provides the core infrastructure for sites such as Twitter, Netflix, Zalando, and also Coursera.

With every smartphone and computer now boasting multiple processors, the use of functional ideas to facilitate parallel programming is becoming increasingly widespread. In this course, you'll learn the fundamentals of parallel programming, from task parallelism to data parallelism. In particular, you'll see how many familiar ideas from functional programming map perfectly to to the data parallel paradigm. We'll start the nuts and bolts how to effectively parallelize familiar collections operations, and we'll build up to parallel collections, a production-ready data parallel collections library available in the Scala standard library. Throughout, we'll apply these concepts through several hands-on examples that analyze real-world data, such as popular algorithms like k-means clustering.

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout. We'll cover Spark's programming model in detail, being careful to understand how and when it differs from familiar programming models, like shared-memory parallel collections or sequential Scala collections. Through hands-on examples in Spark and Scala, we'll learn when important issues related to distribution like latency and network communication should be considered and how they can be addressed effectively for improved performance.

These courses are designed to be self-contained, however for further reading we recommend:(1) for a more thorough treatment of some of the ideas presented in the course: Structure and Interpretation of Computer Programs, 2nd Edition, by Harold Abelson,Gerald Jay Sussman // *Version*=1&*entries*=0...(2)for learning more about Scala: Programming in Scala: A Comprehensive Step-by-Step Guide, 2nd Edition, by Martin Odersky, Lex Spoon, Bill Venners // -Scala-Comprehensive-Step-Step/dp/0981531644...(3)for learning more about Scala: Scala for the Impatient by Cay Horstmann // (4)for learning more about parallel and concurrent programming in Scala: Learning Concurrent Programming in Scala by Aleksandar Prokopec // -Concurrent-Programming-Aleksandar-Prokopec/dp/1783281413...(5)for learning more about Spark: Learning Spark by Holden Karau, Andy Konwinski, Patrick Wendell, Matei Zaharia //

Functional Programming in Scala is a serious tutorial for programmers looking to learn FP and apply it to the everyday business of coding. The book guides readers from basic techniques to advanced topics in a logical, concise, and clear progression. In it, you'll find concrete examples and exercises that open up the world of functional programming.

Functional programming (FP) is a style of software development emphasizing functions that don't depend on program state. Functional code is easier to test and reuse, simpler to parallelize, and less prone to bugs than other code. Scala is an emerging JVM language that offers strong support for FP. Its familiar syntax and transparent interoperability with Java make Scala a great place to start learning FP.

Get up and running with Scala on your computer. Complete an example assignment to familiarize yourself with our unique way of submitting assignments. In this week, we'll learn the difference between functional imperative programming. We step through the basics of Scala; covering expressions, evaluation, conditionals, functions, and recursion

To keep pace with the rest of the world, companies need to adapt. The solution here is to design and implement applications that are multi-threaded (utilizing all cores in the processor) and fully distributed. As an example, had a lot of stability issues due to its monolithic architecture. What they did was to refactor their entire application to separate microservices. This improved scalability and the stability of their platform. Another company that faced some issues, in this case, with a rapidly growing user base, was Twitter. In their case, they needed to shift from using Ruby language because it lacked native thread support, which was a huge performance bottleneck.

Scala is a strongly typed programming language designed with functional principles in mind. Its strong type system and conciseness make it one of the most pleasant languages to work with. Scala has been around for nearly 17 years, gathers together a big community all around the world, and is also accompanied by lots of frameworks and libraries which simplify the development process even further. It runs on a Java virtual machine (JVM) which makes it compatible with all byte-code-related languages such as Java, Kotlin, etc.

The first edition was published in 2014 and quickly became regarded as a classic text in functional programming. It's been used by university courses and by study groups, by hobbyists and the by world's largest companies, and has been translated to different languages. The first edition also had a reputation for being very difficult, with many readers getting stuck on some of the exercises.

Practical FP in Scala: A hands-on approach, is a book for intermediate to advanced Scala developers. Aimed at those who understand functional effects, referential transparency and the benefits of functional programming to some extent but who are missing some pieces to put all these concepts together to build a large application in a time-constrained manner.

Throughout the chapters we will design, architect and develop a complete stateful application serving an API via HTTP, accessing a database and dealing with cached data, using the best practices and best functional libraries available in the Cats ecosystem such as Cats Effect, Fs2, Http4s, Skunk, Refined & others.

Gabriel Volpe is a Software Engineer, specialized in functional programming, from Buenos Aires, Argentina. He has been writing code since 2005, and nowadays writes Haskell & Scala, while keeping reproducible builds via Nix.

Scala is a modern, statically typed, general-purpose, high-level programming language supporting object-oriented and functional programming. It was created and developed by Martin Odersky and started in 2001. The name scala comes from the word Scalable, and it is used by most of the famous engaged sites like Netflix, Twitter, Linkedin, and many more.

Functional programming is the paradigm of developing software with the use of pure functions and immutable values. It is Declarative in style, avoiding a shared state. Declarative programming is about writing code in a way that describes what you want to do by using a set of declarative statements, each of which has a meaning and can be understood independently. In Functional Programming, functions are treated as First-class citizens where they can be assigned names, passed as arguments, and returned from other functions as data types.

Scala is functional in the sense that each function is a value in scala. In Scala, functions are first-class citizens who can be assigned names. It also supports currying and anonymous functions. Hence allowing programmers flexibility to write clean, concise, and elegant code.

Programming in a Functional way helps to ensure brevity in the code. It also allows one to implement concurrency safely and take advantage of your multi-core CPU. Scala being a Multi-Paradigm Language, will enable one to code with both Object-Oriented and Functional programming approaches at the same time in an elegant way. All these powerful features make Scala a suitable language to opt for Functional Programming.

The Effective Programming in Scala course aims to teach non-Scala programmers everythingthey need to become professional Scala 3 programmers in six weeks. This course shows you howto embrace both functional programming and object-oriented programming in a simple andpractical way to write software at scale. It explains how to achieve typical programmingtasks in Scala, such as modeling business domains, breaking down complex problems intosimpler problems, manipulating data, or running parallel tasks. Throughout the course, youwill also learn the best practices for writing high-quality Scala code that scales to largeapplications, how to handle errors, how to write tests, and how to leverage a productivedevelopment environment.

The course features six auto-graded programming assignments, which have been designed tobe both fun and close to real-world programs. Topics covered by the assignments includegraphical animations, web applications, property-based testing, generic programming,and parallel data processing. 041b061a72


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