By Dean Wampler, Alex Payne
Wake up to hurry on Scala, the JVM language that gives all of the merits of a contemporary item version, useful programming, and a sophisticated variety approach. full of code examples, this entire e-book exhibits you ways to be efficient with the language and environment at once, and explains why Scala is perfect for today's hugely scalable, data-centric functions that aid concurrency and distribution.
This moment variation covers fresh language gains, with new chapters on development matching, comprehensions, and complicated useful programming. You’ll additionally know about Scala’s command-line instruments, third-party instruments, libraries, and language-aware plugins for editors and IDEs. This booklet is perfect for starting and complex Scala builders alike.
application swifter with Scala’s succinct and versatile syntax
Dive into uncomplicated and complicated useful programming (FP) techniques
construct killer big-data apps, utilizing Scala’s useful combinators
Use qualities for mixin composition and trend matching for facts extraction
research the delicate sort method that mixes FP and object-oriented programming concepts
discover Scala-specific concurrency instruments, together with Akka
know the way to improve wealthy domain-specific languages
research strong layout suggestions for construction scalable and strong Scala functions
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Extra info for Programming Scala: Scalability = Functional Programming + Objects (2nd Edition)
Expand the archive somewhere convenient on your computer. Start SBT Open a shell or command window and move to the directory where you expanded the code examples. Type the command sbt test, which will download all the de‐ pendencies you need, including the Scala compiler and third-party libraries. This will take a while and you’ll need an Internet connection. Then sbt will compile the code and run the unit tests. You’ll see lots of output, ending with a “success” message. If you run the command again, it should finish very quickly because it won’t need to do anything again.
Just because Scala can infer the return type of a function, should you let it? For simple functions, where the return type is obvious to the reader, perhaps it’s not that important to show it explicitly. However, sometimes the inferred type won’t be what’s expected, perhaps due to a bug or some subtle behavior triggered by certain input ar‐ gument values or expressions in the function body. Explicit return types express what you think should be returned. They also provide useful documentation for the reader.
If you are a Java programmer, imagine writing the same logic in pre-Java 8 code using anony‐ mous inner classes. The last line in main adds a final line feed to the output. class. Scala must generate valid JVM byte code. One requirement is that the directory structure must match the package structure. A Taste of Scala | 17 Java enforces this at the source code level, too, but Scala is more flexible. Note that the source file in our downloaded code examples is actually in a directory called IntroSca‐ la, but we use a different name for the package.