Functional Programming in Scala Specialization, Construction Engineering and Management Certificate, Machine Learning for Analytics Certificate, Innovation Management & Entrepreneurship Certificate, Sustainabaility and Development Certificate, Spatial Data Analysis and Visualization Certificate, Master's of Innovation & Entrepreneurship. Yes! Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in 4-5 months. (2)for learning more about Scala: Programming in Scala: A Comprehensive Step-by-Step Guide, 2nd Edition, by Martin Odersky, Lex Spoon, Bill Venners // http://www.amazon.com/Programming-Scala-Comprehensive-Step-Step/dp/0981531644...(3)for learning more about Scala: Scala for the Impatient by Cay Horstmann // http://www.horstmann.com/scala/index.html...(4)for learning more about parallel and concurrent programming in Scala: Learning Concurrent Programming in Scala by Aleksandar Prokopec // http://www.amazon.com/Learning-Concurrent-Programming-Aleksandar-Prokopec/dp/1783281413...(5)for learning more about Spark: Learning Spark by Holden Karau, Andy Konwinski, Patrick Wendell, Matei Zaharia //http://shop.oreilly.com/product/0636920028512.do. In this tutorial, we will highlight the main features that you will benefit from when adopting the Scala language. Functional Programming in Scala Exercises. A final capstone project will allow you to apply the skills you learned by building a large data-intensive application using real-world data. Course 1: Functional Programming Principles in Scala. Scala is compiled to run on the Java Virtual Machine. It should therefore not be surprising that by adopting Scala you will benefit from functional programming constructs as well as features of object oriented programming. Do I need to attend any classes in person? The coding challenges are challenging, fun, and informative for real-world use. This book assumes no prior experience with functional programming. The Scala Programming Language. Visit the Learner Help Center. Scala's static types help avoid bugs in complex applications, and its JVM and JavaScript runtimes let you build high-performance systems with easy access to huge ecosystems of libraries. We recommend taking the courses in the order presented, as each subsequent course will build on material from previous courses. The following set of sections represent the exercises contained in the book "Functional Programming in Scala", written by Paul Chiusano and Rúnar Bjarnason and published by Manning. 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. This content library is meant to be used in tandem with the book. The course is hands on; most units introduce short programs that serve as illustrations of important concepts and invite you to play with them, modifying and improving them. You'll get to know important new functional programming concepts, from lazy evaluation to structuring your libraries using monads. Functional Programming in Scala is a serious tutorial for programmers looking to learn FP and apply it to the everyday business of coding. This content library is meant to be used in tandem with the book. - write programs that effectively use parallel collections to achieve performance Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. Simply put, you can call the map function … In this blog post, I will write about my journey learning functional programming with Scala. If you are coming from a pure Object Oriented background, hearing a lot of buzzwords around functional programming may at fir… This repository contains exercises, hints, and answers for the book Functional Programming in Scala.Along with the book itself, it's the closest you'll get to having your own private functional programming tutor without actually having one. You'll see how the functional paradigm facilitates parallel and distributed programming, and through a series of hands on examples and programming assignments, you'll learn how to analyze data sets small to large; from parallel programming on multicore architectures, to distributed programming on a cluster using Apache Spark. Recursive algorithms can sometimes create extremely deep call stacks and exhaust the stack space. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. Learning Outcomes. Discover how to write elegant code that works the first time it is run. It interoperates seamlessly with … If you are sold on FP and want to stay in the FP world while writing Scala then this is the book for you. Will I earn university credit for completing the Specialization? This trend is driven by the adoption of Scala as the main programming language for many applications. You will also develop a solid foundation for reasoning about functional programs, by touching upon proofs of invariants and the tracing of execution symbolically. - competently microbenchmark parallel code, In this course, you'll learn the fundamentals of parallel programming, from task parallelism to data parallelism. - express common algorithms in a functional style and solve them in parallel, Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, JavaScript, or Ruby is also sufficient. - manipulate data with Spark and Scala, As a result, functional code is easier to test … Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit. In it, you'll find concrete examples and exercises that open up the world of functional programming. It's a great way to learn functional programming but it also has its disadvantages - for example, the freedom to write non-functional code using pure Java. - competently combine functions and state in one program, Learning Outcomes. Check with your institution to learn more. Functional programming is becoming increasingly widespread in industry. It interoperates seamlessly with … The course is taught by Martin Odersky himself. However, I have some questions regarding some exercises or if there's a better way to approach them. Functional programming (FP) is a programming style emphasizing functions that return consistent and predictable results regardless of a program's state. This course has all what you want from a programming course and more. Functional programming in Scala. Start instantly and learn at your own schedule. At least one year of programming experience is recommended. You'll be prompted to complete an application and will be notified if you are approved. - design functional libraries and their APIs, - understand reasoning techniques for programs that combine In particular, you'll see how many familiar ideas from functional programming map perfectly to to the data parallel paradigm. By enrolling now, you can get the course for a heavily discounted price, and help shape the development of new module. You can purchase or upgrade to liveAudio here or in liveBook. School of Computer and Communication Sciences, Subtitles: English, Arabic, French, Portuguese (European), Serbian, Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, Turkish, Spanish, Portuguese (Brazilian), There are 5 Courses in this Specialization. Functional programming is becoming increasingly widespread in industry. Functional programming in Scala . You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device. How often is each course in the Specialization offered? It interoperates seamlessly with … If you only want to read and view the course content, you can audit the course for free. I have a very object-oriented background in Java. Scala is a functional language based on Java. In Java, functional programming is possible in principle, even though it’s originally designed as an object-oriented programming language.
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