By Dean Wampler
ISBN-10: 0596155956
ISBN-13: 9780596155957
The 1st few chapters are breathtakingly quickly. a number of the heart chapters are form of sluggish, yet are nonetheless invaluable. Scala is a reasonably large language (unlike, say, Scheme or C), and the e-book is a reasonably dense four hundred pages. i discovered it invaluable to learn slowly and take notes.
As for Scala itself, i like it! Scala is a pleasant mixture of Java, C#, Erlang, Haskell, Ruby, and Smalltalk. you could deal with it as a "better Java", otherwise you can deal with it as a extra enterprise-friendly Haskell. both manner, it truly is precisely what i used to be trying to find: a language with moderate syntax, an ML sort method, and an honest set of genuine global libraries. i do know that the Haskell group is operating challenging during this path in addition. i feel Scala stands an exceptional probability at being a work-friendly, programmer-friendly language.
I'm a bit afraid that its sort approach might be too huge and too advanced for many programmers. To be reasonable, i believe that C++ is simply too huge and complicated for many programmers too. i am additionally scared of subsetting--i.e. the placement the place each group choices a special subset of the language to exploit. this can be quite common in multiparadigmatic languages like C++. nonetheless, a few multiparadigmatic languages like Python appear to keep away from this problem.
Nonetheless, there is a lot to profit in Scala--covariance, contravariance, parameterized varieties, summary varieties, self-type declarations, lazy values, by-name parameters, DSL-friendly abbreviations, direction based varieties, oh my! and there is extra! i stopped up with 50 pages worthy of notes.
I'm lovely bought on Scala. Now, all i would like is a startup to rent me to jot down it ;)
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Additional info for Programming Scala: Scalability = Functional Programming + Objects (Animal Guide)
Sample text
That is, the _ acts like an anonymous variable, to which each string will be assigned before toUpperCase is called. Note that the String type is inferred for us, too. As we will see, Scala uses _ as a “wildcard” in several contexts. You can also use this shorthand syntax in some more complex function literals, as we will see in Chapter 3. On the last line, using an object rather than a class simplifies the code. Instead of creating an instance with new Upper, we can just call the upper method on the Upper object directly (note how this looks like the syntax you would use when calling static methods in a Java class).
Compared to Java’s type item convention, the item: type convention is easier for the compiler to analyze unambiguously when you omit the colon and the type annotation and just write item. The method return type appears after the argument list. In this case, the return type is Seq[String], where Seq (“sequence”) is a particular kind of collection. It is a parameterized type (like a generic type in Java), parameterized here with String. >). , naming a “less than” method < is common. So, to avoid ambiguities, Scala uses square brackets instead for parameterized types.
Scala is a language for professional developers. Compared to languages like Java and Ruby, Scala is a more difficult language to master because it requires competency with OOP, FP, and static typing to use it most effectively. It is tempting to prefer the relative simplicity of dynamically typed languages. Yet this simplicity can be deceptive. In a dynamically typed language, it is often necessary to use metaprogramming features to implement advanced designs. While metaprogramming is powerful, using it well takes experience and the resulting code tends to be hard to understand, maintain, and debug.
Programming Scala: Scalability = Functional Programming + Objects (Animal Guide) by Dean Wampler
by Michael
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