最近在学习使用Scala语言做项目，感觉这门语言实在是太优美了！作为一个本科数学、研究生机器学习专业的混合人才（哈哈），这门语言真的是满足了普通计算机编程(告诉计算机怎么做)和函数式编程（告诉计算机做什么）的所有幻想。学了半个多月，根本停不下来！先来做个总结：

1. 语法简洁，往往比Java少至少一半的代码量。比如：
   • 支持自动类型判断，可以省去很多类型标志。 e.g.  val x = 2
   • 用伴生对象来生成类，省去new的麻烦。e.g. val cat = Cat("Hello Ketty")
   • 不用return，直接把一个块（可以使if...else...块，for循环块等）的值返回。例如一行代码定义函数：def add(x: Int, y: Int): Int = x + y
   • 用()来统一函数的参数传递与带参类的构造。对类来说，这种写法其实是语法糖，因为中间有自动的转换机制，使得简洁的代码和底层实现可以分离。
   • 程序易读。对比C/C++、Python、Java，Scala是最符合人类理解的程序语言。
2. 有几乎完全的函数式风格支持。
   • 函数和值一样，是第一等公民。函数也是值，值也可以作为函数。
   • 支持高阶函数、Curry化、lambda运算等函数运算概念。
   • 函数式风格要求函数尽量无副作用，这样一方面适合做单元测试来验证程序的正确性，另外很适合做并行计算！
3. 可以满足大多数OOP编程需求。
   • 这里就不展开了。
4. Scala兼具科学计算语言（matlab、R、Python等）的易读性与静态语言（C/C++、Java等）的高效率。

正是由于以上优点，我觉得Scala很有潜力成为下一门普及的编程语言。

另外，关于Scala学习曲线，我的建议是：

1. 从网上各种博客大概了解Scala的特性，包括上面提到的几条。
2. 看书：
   • 《Programming in Scala》和《Scala for the Impatient》交替看。前一本是Scala语言创建者写的，非常通俗易懂，包含了Scala的大多数“是什么”和“为什么”；后一本则是总结性的，把Scala的大多少“是什么”告诉你。
   • 《Scala in Depth》适合中等水平的Scala程序员阅读。（计划下一步看完）
3. 做项目 / 开发程序。

最后，附上《Scala for the Impatient》（中文版《快学Scala》）的所有key notes 以及我做的部分课后题参考答案地址。如果有需要相关电子书的，可以给我发email。

---

《Scala for the Impatient》key notes

• Using the Scala interpreter
• Defining variables with val and var
• Numeric types
• Using operators and functions
• Navigating Scaladoc

• An if expression has a value
• A block has a value — the value of its last expression
• The Scala for loop is like an "enhanced" Java for loop
• Semicolons are (mostly) optional
• The Void type is Unit
• Avoid using return in a function
• Beware of missing = in a function definition
• Exceptions work just like in Java or C++, but you use a "pattern matching" syntax for catch 
• Scala has no checked exceptions

• Use an Array if the length is fixed, and an ArrayBuffer if the length can vary
• Don’t use new when supplying initial values
• Use () to access elements
• Use for (elem <- arr) to traverse the elements
• Use for (elem <- arr if …) … yield … to transform into a new array
• Scala and Java arrays are interoperable; with ArrayBuffer, use scala.collection.JavaConversions

• Scala has a pleasant syntax for creating, querying, and traversing maps
• You need to choose between mutable and immutable maps
• By default, you get a hash map, but you can also get a tree map
• You can easily convert between Scala and Java maps
• Tuples are useful for aggregating values

• Fields in classes automatically come with getters and setters
• You can replace a field with a custom getter / setter without changing the client of a class — that is the "uniform access principle"
• Use the @BeanProperty annotation to generate the JavaBeans getXxx / setXxx methods
• Every class has a primary constructor that is "interwoven" with the class definition. Its parameters turn into the fields of the class. The primary constructor excuses all statements in the body of the class
• Auxiliary constructors are optional. That are called this.

• Use Objects for singletons and utility methods
• A class can have a companion object with the same name.
• Objects can extend classes or traits
• The apply method of an object is usually used for constructing new instance of the companion class
• To avoid the main method, use an object that extends that App trait
• You can implement enumerations by extending the Enumeration object

• Packages nest just like inner classes
• Package paths are not absolute
• A chain x.y.z in a package clause leaves the intermediate packages x and x.y invisible
• Package statements without braces at the top of the file extend to the entire file
• A package object can hold functions and variables
• Import statements can import packages, classes, and objects
• Import statements can be anywhere
• Import statements can rename and hide menbers
• java.lang, scala, and Predef are always imported

• The extends and final keywords are as in Java.
• You must use override when you override a method
• Only the primary constructors can all the primary superclass constructor
• You can override fields

• Source.fromFile(…).getLines.toArray yields all lines of a file
• Source.fromFile(…).mkString yields the file contents as a string
• To convert a string into a number, use the toInt or toDouble method
• Use the Java PrintWriter to write text files
• "regex".r is a Regex object
• Use """…""" if your regular expression contains backslashes or quotes
• If a regex pattern has groups, you can extract their contents using the syntax for (regex(var_1,…,var_n) <- string )

• A class can implement any number of traits
• Traits can require that implementing classes have certain fields, methods, or superclasses
• Unlike Java Interface, a Scala trait can provide implementations of methods and fields
• When you layer multiple traits, the order matters — the trait whose methods execute first goes to the back

• Identifiers contain either alphanumeric or operator characters
• Unary and binary operators are method calls
• Operator precedence depends on the first character, associativity on the last
• The apply and update methods are called when evaluating expr(args)
• Extractors extract tuples or sequences of values from an input

• Functions are "first-class citizens" in Scala, just like numbers
• You can create anonymous functions, usually to give them to other functions
• A function argument specifies behavior that should be executed later
• Many collection methods take function parameters, applying a function to the values of the collections
• There are syntax shortcuts that allow you to express function parameters in a way that is short and easy to read
• You can create functions that operate on the blocks of code and look much like the build-in control statement

• All collections extend the Iterable trait
• The three major categories of collections are sequences, sets, and maps.
• Scala has mutable and immutable versions of most collections
• A Scala list is either empty, or it has a head and a tail which is again a list
• Sets are unordered collections
• Use a LinkedHashSet to retain the insertion order or a SortedSet to iterate in sorted order
• + adds an elements to an unordered collection; +: and :+ prepend or append to a sequence; ++ concatenates two collections; - and -- remove elements
• The Iterable and Seq traits have dozens of useful methods for common operations. Check them out before writing tedious loops.
• Mapping, folding, and zipping are useful techniques for applying a function or operation to the elements of a collection

• The match expression is a better switch, without fall-through
• If no pattern matches, a MatchError is thrown. Use the case _ pattern to avoid that
• A pattern can include an arbitrary condition, called a guard
• You can match on the type of an expression; prefer this over isInstanceOf / asInstanceOf
• You can match patterns of arrays, tuples, and case classes, and bind parts of the pattern to variables
• In a for expression, non matches are silently skipped
• A case class is a class for which the compiler automatically produce the methods that are needed for pattern matching
• The common superclass in a case class hierarchy should be sealed
• Use the Option type for values that may or may not be present — it is safer than using null

• You can annotate classes, methods, fields, local variables, parameters, expressions, type parameters and types.
• With expressions and types, the annotation follows the annotated item
• Annotation have the form @Annotation, @Annotation(value), or @Annotation(name1= value1, …)
• @volatile, @transient, @strictfp, and @native generate the equivalent Java modifiers
• Use @throws to generate Java-compatible throws specifications
• The @tailrec annotation lets you verify that a recursive function uses tail call optimization
• The assert function takes advantage of the @elidable annotation. You can optionally remove assertions from your Scala program
• Use the @deprecated annotation to mark deprecated features.

• XML literals <like> this </like> are of type NodeSeq
• You can embed Scala code inside XML literals
• The child property of a Node yield the child nodes
• The attributes property of a Node yields a MetaData object containing the node attributes.
• The \ and \\ operators carry out XPath-Like matches
• You can match mode patterns with XML literals in case clauses
• Use the RuleTransformer with RewriteRule instance to transform descendants of a node
• The XML object interfaces with Java XML methods for loading and saving
• The ConstructingParser is an alternate parser that preserves comments and CDATA sections

• Classes, traits, methods, and functions can have type parameters
• Place the type parameters after the name, enclosed in square brackets
• Type bounds have the form T <: UpperBound, T >: LowerBound, T <% ViewBound, T : ContextBound
• You can restrict a method with a type constraint such as (implicit ev: T <: < UpperBound)
• Use +T (covariance) to indicate that a generic type’s subtype relationship is in the same direction as the parameter T, or -T (contravariance) to indicate the reverse direction
• Covariance is appropriate for parameters that denote outputs, such as elements in an immutable collection.
• Contravariance is appropriate for parameters that denote inputs, such as function arguments.

• Singleton types are useful for method chaining and methods with object parameters
• A type projection includes inner class instances for all objects of an outer class.
• A type alias gives a short name for a type.
• Structural types are equivalent to "duck typing"
• Existential types provide the formalism for wildcard parameters of generic types.
• Use a self type declaration to indicate that a trait requires another type.
• The "cake pattern" uses self types to implement a dependency injection mechanism
• An abstract type must be made concrete in a subclass
• A higher-kinded type has a type parameter that is itself a parameterized type.

• Alternatives, concatenation, options, and repetitions in a grammar turn into |, ~, opt, and rep in Scala combinator parsers.
• With RegexParsers, literal strings and regular expressions match tokens.
• Use ^^ to process parse results.
• Use pattern matching in a function supplied to ^^ to take apart ~ result.
• Use ~> and <~ to discard tokens that are no longer needed after matching.
• The respell combinator handles the common case of repeated items with a seperator
• A token-based parser is useful for paring languages with reserved words and operations. Be prepared to define your own lexer.
• Parsers are functions that consume a reader and yield a parse result: success, failure, or error.
• The Failure result provides the details for error reporting.
• You may want to add failure clauses to your grammar to improve the quality of error message.
• Thanks to operator symbols, implicit conversions, and pattern matching, the parser combinator library makes parser writing easy for anyone who understands context-free grammars. Even if you don’t feel the urge to write your own parsers, you may find this an interesting case study for an effective domain-specific language.

• Extend the Actor class and provide an act method for each other.
• To send a message to an actor, use actor ! message.
• Message sending is asynchronous: "send and forget."
• To receive messages, an actor calls receive or react, usually in a loop.
• The argument to receive / react is a block of case clauses (technically, a partial function)
• Actors should never share state. Always send data using messages.
• Don’t invoke methods on actors. Communicating by sending messages.
• Avoid synchronous messaging — that is, unlink sending a message and waiting for a reply.
• Actors can share threads by using react instead of receive, provided the control flow of the message handler is simple.
• It is OK to let actors crash, provided you have other actors that monitor their demise. Use linking to set up monitoring relationships.

• Implicit conversions are used to convert between types.
• You must import implicit conversions so that they are in scope as single identifiers.
• An implicit parameter list requests objects of a given type. They can be obtained from implicit objects that are defined as single identifiers in scope, or from the companion object of the desired type.
• If an implicit parameter is a single-argument function, it is also used as an implicit conversion.
• A context bound of a type parameter requires the existence of an implicit object of the given type.
• If it is possible to locate an implicit object, this can serve as evidence that a type conversion is valid.

• A continuation lets you go back to a previous point in a program.
• You can capture a continuation in a shift block.
• A contination function extends until the end of the enclosing reset block.
• A continuation is the "reset of the computation" from the expression containing the shift to the end of the enclosing reset, with the shift replaced by a "hole"
• When you call a continuation with an argument, the "hole" is set to the argument.
• Code containing shift expressions is rewritten in "continuation-passing stype", or CPS, up to the enclosing reset.
• A method containing a shift without a reset must be annotated with a CPS annotation.
• Continuation can be used to turn a recursive visit of a tree structure into an iteration.
• Continuations can undo the "inversion of control" in a web or GUI application.

---

部分《快学Scala》课后题答案（还在更新中）：

https://github.com/fengfu-chris/Scala-for-the-Impatient-Exercises