The latest instance of the course can be found at: O1: 2024
Luet oppimateriaalin englanninkielistä versiota. Mainitsit kuitenkin taustakyselyssä osaavasi suomea. Siksi suosittelemme, että käytät suomenkielistä versiota, joka on testatumpi ja hieman laajempi ja muutenkin mukava.
Suomenkielinen materiaali kyllä esittelee englanninkielisetkin termit. Myös suomenkielisessä materiaalissa käytetään ohjelmien koodissa englanninkielisiä nimiä kurssin alkupään johdantoesimerkkejä lukuunottamatta.
Voit vaihtaa kieltä A+:n valikon yläreunassa olevasta painikkeesta. Tai tästä: Vaihda suomeksi.
Chapter 4.3: A Lack of Values
About This Page
Questions Answered: How do I express that some information may or
may not exist? What can I use instead of null
?
Topics: The trouble with null
. Basic use of the Option
data
type. Using the match
command to select between alternatives.
What Will I Do? Read. Work on small assignments. (The next chapter contains larger practice tasks on the same topics.)
Rough Estimate of Workload:? An hour or more. Depends on
how quickly you take to the new concepts. Many students initially find
this chapter’s main topic — class Option
— challenging.
Points Available: A15.
Related Modules: GoodStuff.
Where We Left Off
At the end of the previous chapter, our program crashed because we tried to use a reference
to access an experience object’s rating — another.rating
— but what the variable
another
actually stored was null
: a reference that leads nowhere. This occurred as we
were adding a first experience to a category; the trouble started because the category
didn’t yet have a favorite experience, and we had used a null
reference to record that
fact.
On its own, the computer can’t figure out how it should handle the scenario where no favorite experiences exists (yet). As programmers, we must somehow specify this behavior, too, in the program code. Our earlier solution attempt completely neglected the issue.
We could approach the problem in two different ways:
- We could use a different data type that helps us represent the fact that a category has “one or zero favorites” rather than always having one.
- Or we could continue to use the
null
reference to mark a nonexistent value;null
is a valid value for a variable of (almost) any data type. We must then use other commands to tiptoe around thenull
value and make sure we never try to access the attributes of a nonexistent object.
There are reasons why the first option is generally better. (We’ll get to the reasons later
in this chapter.) We’ll take that path — choose a new data type — as we fix our Category
class. First, though, let’s get to know this new data type in general terms.
lift
ing for Inspiration
Programs commonly need to manipulate values that may or may not exist. It’s easy to find an example in Scala’s standard library: a vector may have an element at index 100 (if the vector’s large enough) or it may not (if it’s small).
Sure enough, we know we can check what a vector contains at a given index as shown below, but it’s a shame that it crashes our program if the index is too high or negative:
val words = Vector("first", "second", "third", "fourth")words: Vector[String] = Vector(first, second, third, fourth) words(2)res0: String = third words(100)java.lang.IndexOutOfBoundsException: 100 [...]
Couldn’t we have a method that tells us both 1) whether or not there is an element at the given index, and if there is one, 2) what it is?
Yes we could, and we do. The method is called lift
.
words.lift(2)res1: Option[String] = Some(third) words.lift(100)res2: Option[String] = None words.lift(-1)res3: Option[String] = None
The return values are pretty easy to interpret:
null
; we’ll get
to that.lift
doesn’t crash. The
method lets us pick out an element safely.String
, though,
but something else.lift
relies on a data type named Option
. Let’s find out what it is and how it helps
us improve Category
.
The Option
Class
Option
is a class defined in package scala
, which means it’s always available for you
to use in any Scala program. You can think of an object of type Option
as a “wrapper” that
either contains a single value of a particular type or nothing.
Some
and None
Let’s take another look at the above example:
val words = Vector("first", "second", "third", "fourth")words: Vector[String] = Vector(first, second, third, fourth) words.lift(2)res4: Option[String] = Some(third) words.lift(100)res5: Option[String] = None
Some
object is a “full wrapper”: an Option
object that
contains a single value. In our example, the wrapped value
happens to be a string.None
is a singleton object defined as part of Scala. It
represents an “empty wrapper”. It, too, counts as an object
of type Option
.lift
returns an Option
that contains a
String
or nothing. That is, the method always returns either
a Some
object wrapped around a string or the None
object.Let’s introduce another vector, which contains integers:
val numbers = Vector(10, 0, 100, 10, 5, 123)numbers: Vector[Int] = Vector(10, 0, 100, 10, 5, 123) numbers.lift(0)res6: Option[Int] = Some(10) numbers.lift(-1)res7: Option[Int] = None
Notice that the type parameter is different. You can read
Option[Int]
as “a wrapper containing an Int
or nothing”. The
type parameter in the square brackets serves exactly the same purpose
as it does with vectors and buffers: it indicates the type of the
value that may be contained within the “outer” object.
To summarize, class Option
is defined so that it guarantees us a number of things:
- Every
Some
object is anOption
object. Cf. “Every llama is an animal.”None
is also anOption
object. - There are exactly two kinds of
Option
object. EveryOption
object is either aSome
object or theNone
object. Cf. “Every human is either a mortal or Chuck Norris.” - Every single value of type
Option[X]
is eitherNone
or aSome
object that contains exactly one value of type X.
Variables of type Option
In the examples above, we received Option
values from a method. We can also create
Option
values of our own and use Option
as the type for variables in our programs.
var test: Option[Int] = Nonetest: Option[Int] = None
None
.
More specifically, the variable stores a reference to the
singleton object None
.None
has been defined to be type compatible with class
Option
, so we can assign the reference to a variable of
type Option
. Note that we could not assign None
to,
say, variables of type Experience
or Int
.What we have now is a variable that we could use to store an integer. Currently,
though, there’s no number stored there, as the variable has the value None
instead. We can change that by assigning a “full wrapper”, a Some
object, to
the variable:
test = Some(5)test: Option[Int] = Some(5)
Some(
...)
“wraps” a value. Since we’re
working with Option[Int]
, the wrapped value must be an
integer. Some(5)
constructs a wrapper that contains the
integer value 5.new Some(5)
, but it’s possible to
omit new
in this context and people usually do.)We can also express a computation and wrap the result in an Option
:
test = Some(10 + 50)test: Option[Int] = Some(60)
An Option
object is immutable. Once you create an object with Some(5)
, there’s no
way to change which object is stored inside the wrapper or to empty the wrapper. However,
if we have a var
that stores a reference to an Option
, we may discard that reference
and store another Option
in the variable instead. Indeed, we just did that.
Pictures or it didn’t happen
Wrapped values vs. unwrapped values
A value of type Int
is an integer. A value of Option[Int]
might contain an integer.
These types are distinct from each other and you can’t cross-assign them. For example,
you can’t simply assign an Int
to a variable of type Option[Int]
:
test = 5<console>:11: error: type mismatch; found : Int(5) required: Option[Int] test = 5 ^
Conversely, you can’t assign a value of type Option[Int]
to a variable of type Int
or otherwise use that value in computations that call for an integer:
var numericalValue = 10numericalValue: Int = 10 var possibleValue: Option[Int] = Some(10)possibleValue: Int = Some(10) numericalValue = possibleValue<console>:13: error: type mismatch; found : Option[Int] required: Int numericalValue = possibleValue ^ possibleValue - 1<console>:13: error: value - is not a member of Option[Int] possibleValue - 1 ^
Similarly, if a method takes an Int
parameter, it won’t accept an Option[Int]
and
vice versa.
This is a very good thing. What it means is that if a part of your program requires an integer, it’s not enough that you have “an integer that might exist”. You receive, even before you run your program, an error message that reminds you to ensure that where an integer is needed, an integer must be delivered.
Practice on Option
s
So, what’s the difference between null
vs. None
?
Side note to students who know Python
The Python programming language has a None
construct that largely
corresponds to the null
reference in Scala and other languages.
That is, it isn’t the same as Scala’s None
.
null
is a value that means “a reference to nowhere, no object at all”. It’s technically
possible to use null
quite freely in a variety of places. It can be assigned to variables of
type Experience
or String
, for instance.
By using null
, one effectively adopts a style of programming where any value is, in a sense,
“optional” and may be missing.
None
is a singleton object that has the Option
type. It is specifically built to be
used in places that demand a value of type Option
. A reference to None
can be stored
in a variable whose type is Option[
something]
but cannot be stored in an arbitrary
sort of variable.
Call me Maybe
?
The concept of Option
shows up in different guises in languages
other than Scala. It is especially prominent in languages that
support functional programming. In some languages, such as Haskell,
it’s known as Maybe
rather than Option
. Some languages, such as C#,
instead feature a similar concept called nullable type.
By using None
and Option
, we adopt a style of programming where the programmer
explictly marks the parts of the program where a value is “optional” and may be missing.
Further down on this page, we’ll discuss why this is often the better approach and you
would do well to avoid null
in your programs.
If you have trouble discerning the difference between the null
reference and the None
object, you may find it helpful to contrast the animations in this chapter with the one
at the end of the previous one.
And what about Unit
?
Unit
, first introduced in Chapter 1.6, is a special value that we use to mean “no
value of interest” and especially “the function produces no value of interest under any
circumstances”. The value Unit
is of a data type of its own, also called Unit
; the
value can’t be assigned to an arbitrary variable (as null
can) or to a variable of type
Option
(as None
can). In O1, we won’t use Unit
for any purpose other than as the
return value of some effectful functions.
Opening an Option
with match
In order to use the contents of an Option
, we need a way to “open up the wrapper” and
see what, if anything, we find there.
To do that, we’ll use the match
command. match
is a relative of if
in the sense that
both commands make choices between alternatives.
There are other ways than match
for accessing the contents of an Option
but, for now,
we’ll use match
for this specific purpose. Moreover, there are other things that we can
do with match
besides handle Option
s but, for now, we’ll use match
specifically
for that purpose.
The match
command
First, some familiar-looking code to set things up:
val numbers = Vector(10, 0, 100, 10, 5, 123)numbers: Vector[Int] = Vector(10, 0, 100, 10, 5, 123)
val possibleElement = numbers.lift(5)possibleElement: Option[Int] = Some(123)
val thousandthIfAny = numbers.lift(999)thousandthIfAny: Option[Int] = None
Let’s now make the computer select what it should do by considering two cases and
seeing which one possibleElement
’s value matches. The cases are: 1) a full
Option
wrapper, or 2) an empty one.
possibleElement match { case Some(wrappedNumber) => "there is some number in the wrapper" case None => "there is no number in the wrapper" }res8: String = there is some number in the wrapper
possibleElement
and
examine its value. We follow the expression with the keyword
match
and an obligatory set of curly brackets.case
and an “arrow” that consists of an
equals sign and a greater-than sign.match
to process
an Option
, like here, we’ll often use one case to cover the
possibility that the Option
is a Some
and another case to
cover None
.Some
, the first case matches.match
command. In our example, we produce a string.wrappedNumber
is a programmer-chosen name for a variable that
we didn’t yet use for any purpose.Of course, it could be that it’s the other case that matches the expression:
thousandthIfAny match { case Some(wrappedNumber) => "there is some number in the wrapper" case None => "there is no number in the wrapper" }res9: String = there is no number in the wrapper
thousandthIfAny
matches the latter case, so the
computer selects that branch and uses the code therein as the
match
expression’s value.In the preceding examples, we cared only about whether or not the Option
object had
content, not about what that content might be. The following example attends to that, too.
possibleElement match { case Some(wrappedNumber) => "the wrapper contains: " + wrappedNumber case None => "there is no number in the wrapper" }res10: String = the wrapper contains: 123
Some
case, we include a variable name as shown.
When the expression matches that case, the Option
object’s
content is copied into a new local variable of that name
before the expression on the right is evaluated. Therefore...Option
. In this example, that value is
an Int
.Here’s an additional example that illustrates some of match
’s other features:
val numbers = Vector(10, 0, 100, 10, 5, 123)numbers: Vector[Int] = Vector(10, 0, 100, 10, 5, 123) val result = numbers.lift(4) match { case None => 0 case Some(number) => number * 1000 }result: Int = 5000
match
expression is an expression like any other. We can use
it as part of other commands. We can, for instance, assign its
value to a variable, as here.match
expression begins with a (sub)expression whose value
is matched on. In our earlier examples, that expression was a
variable’s name, but other expressions work just as well. Here,
we call lift
and immediately match on the value that it returns
(skipping the intermediate step of assigning the return value to
a variable).None
case before the Some
case.
The computer goes through the cases in order until it finds a
match.match
expression evaluated to a
string, but other data types are fine, too. Here we have two
cases that produce integers, so the result type is Int
.You have the option of watching the following animation.
The pseudocode below summarizes, in general terms, how we’ve used match
to work on
Option
s:
expression to examine match { case Some(variableForContent) => an expression to evaluate if the “wrapper is full” and may use the variable case None => an expression to evaluate if the “wrapper is empty” }
You can also call effectful functions such as println
within a case:
numbers.lift(7) match { case None => println("There was no number at index seven.") println("No can do.") case Some(number) => println("At index seven, I found " + number + ".") }There was no number at index seven. No can do.
Practice on match
+ Option
Before we get to work on class Category
, answer the following practice questions. Use
the REPL as needed to help you find the answers. Since Option
is about to become an
important tool for us, it makes sense to go through a few basic drills.
Tracking the Favorite Experience (A New Implementation)
An instance variable of type Option
Now to our Category
class. We can use Option
to define its instance variable fave
.
Like so:
class Category(val name: String, val unit: String) {
private val experiences = Buffer[Experience]()
private var fave: Option[Experience] = None
def favorite = this.fave
def addExperience(newExperience: Experience) = {
// We'll need to re-implement this.
}
}
Option[Experience]
as the type of fave
. This means
the variable may hold a single experience or none. This
definition exactly describes what we’re trying to achieve
with the variable.None
or Some(
...)
,
where the “wrapper” contains a reference to an Experience
object. Initially, there is no favorite and the value is None
.Re-implementing addExperience
Let’s rewrite the pseudocode that outlines addExperience
:
def addExperience(newExperience: Experience) = { this.experiences += newExperience How the favorite is updated depends on what we find inside the “fave wrapper”: 1) In case we find nothing, we record that the favorite is a Some* that contains the newly added (first) experience.* 2) In case we find an old favorite, we choose the better of the new experience and the old favorite and wrap it. }
this.fave
previously holds just
an empty wrapper or some old favorite wrapped in an Option
.Option[Experience]
objects. We can compare the ratings of Experience
objects.
To do that, we need to extract the old favorite from its
Option
wrapper.Here is the same algorithm implemented as Scala:
def addExperience(newExperience: Experience) = {
this.experiences += newExperience
this.fave match {
case None =>
this.fave = Some(newExperience)
case Some(oldFave) =>
val newFave = newExperience.chooseBetter(oldFave)
this.fave = Some(newFave)
}
}
Some
before storing it in the
instance variable (since our new fave
variable demands an
Option[Experience]
rather than Experience
).match
command. Here,
we’ve used a temporary variable newFave
to emphasize the
algorithm’s two steps. We could have also done everything on
one line: this.fave = Some(newExperience.chooseBetter(oldFave))
A variation of the above
This alternative implementation works just as well.
def addExperience(newExperience: Experience) = {
this.experiences += newExperience
val newFave = this.fave match {
case Some(oldFave) => newExperience.chooseBetter(oldFave)
case None => newExperience
}
this.fave = Some(newFave)
}
A change in the Category
interface
The version of Category
that we just produced (and that comes with the GoodStuff
module) needs to be used a bit differently than we originally envisioned in Chapter 4.2.
This is because the return type of favorite
is no longer Experience
but
Option[Experience]
, and the method returns either None
or a Some
that holds an
experience. When we use the class, we must attend to the return type, as in this
example:
val wineCategory = new Category("Wine", "bottle") // ... (We may or may not add experience objects to the category here.) wineCategory.favorite match { case Some(bestWine) => println("The favorite is: " + bestWine.name) case None => println("No favorite yet.") }
An expression such as wineCategory.favorite.name
isn’t valid, as indeed it shouldn’t be.
If you try to use that expression with this Category
class, you immediately receive a
complaint from the Scala toolkit: the Option
returned by wineCategory.favorite
doesn’t
have a name
variable (even though any experience that it may contain has one).
An Alternative Implementation without Option
We didn’t strictly need Option
in order to make addExperience
work. At the beginning
of this chapter, we suggested that there is another way to solve our original problem with
null
. Here’s how it works: we keep using a null
value in fave
but are super-careful
that we never access the attributes of a non-existent object. Consider this implementation:
class Category(val name: String, val unit: String) {
private val experiences = Buffer[Experience]()
private var fave: Experience = null
def favorite = this.fave
def addExperience(newExperience: Experience) = {
this.experiences += newExperience
this.fave =
if (this.fave == null)
newExperience
else
newExperience.chooseBetter(this.fave)
}
}
Since we first compare to see if fave
is null
and place our chooseBetter
call in
the else
branch, our method never attempts to access the rating of a nonexistent object.
The method works as originally intended.
Come on, you could just have told us that to begin with!?
Doesn’t that null
-based version work just as well as the Option
-based one? Didn’t
Option
just add complexity to our class for not much gain? Was it even worth learning
about?
The Option
-based implementation has some highly desirable features that the null
-based
one lacks. We’ll now review some of them.
The Billion-Dollar Mistake
I call it my billion-dollar mistake. It was the invention of the null reference in 1965. At that time, I was designing the first comprehensive type system for references in an object-oriented language (ALGOL W). My goal was to ensure that all use of references should be absolutely safe. — — But I couldn’t resist the temptation to put in a null reference, simply because it was so easy to implement. This has led to innumerable errors, vulnerabilities, and system crashes, which have probably caused a billion dollars of pain and damage in the last forty years.
—C. A. R. Hoare
Some airhead messed things up, huh?
No. The gentleman in question is an exceptionally significant and well-known scientist who has, among his other accomplishments, received the Turing Award, which is regarded as the “Nobel Prize of Computer Science”.
The quotation above is from a 2009 speech where Sir Charles Antony Richard Hoare
apologizes for inventing the null
reference, originally for the ALGOL programming
language. ALGOL contributed a great number of (mostly good) ideas that have been adopted
into other programming languages, including present-day ones. null
also lives on in
many programming languages, whether by that name or a different one. Unfortunately, a
great many runtime defects similar to the one you saw in the previous chapter occur every
day because someone used a null
reference. Often, those defects show up in programs
that are more complex than our example and are more challenging to spot.
Many of the most notorious error messages (such as segmentation fault and null pointer
exception) arise from programmers’ failure to treat null
appropriately.
Why Option
?
As you have seen, Scala doesn’t stop us from using null
. However, the language has
been designed to encourage alternative approaches, Option
being one of them. null
is
rarely used in (good) Scala programs.
When an expression has the type Option[X]
rather than just X
, we can’t simply use
it in a context that calls for a value of type X
. An attempt to do so produces an error
notification before we even run our program. What this implies is that we programmers
have to explicitly extract the value from the Option
wrapper. As we do so, we are
reminded and even forced to attend to the fact that the Option
might be None
and
the value of type X
might not exist.
For example, the fact that a Category
’s favorite
has a return type of
Option[Experience]
is a clear signal to any user of the class: the favorite may or may
not exist and you must consider both alternatives. What’s more, any oversight will be
brought to your attention immediately rather than left as a defect in the software,
perhaps to be discovered by an unfortunate end user much later.
Yes, you may be able to implement a class such as Category
with null
. Yes, you may
ensure that its methods carefully check that no internal problems occur. Even so, the
problem fails to vanish if the class’s public methods (such as favorite
) return null
values. Any user of the class, which could be you or someone else, will still need to
be on their toes.
If you are a beginner programmer or an experienced programmer resigned to using null
,
you might not realize just how much bother you can save yourself by using Option
where
a value may be missing.
On error messages
We just suggested that a major factor in why Option
is a good idea is that you get error
messages. This may sound odd.
To a beginner programmer, the whole notion of error messages has a distinctly negative vibe. But an error message is your friend. An error message at compile-time is a friend indeed! It means that the computer has been able to detect a problem automatically. It’s great that you get a message about that — even if it’s a complaint — as immediate feedback. Runtime bugs are commonly much harder to squash, and it’s by no means assured that they’ll even be detected to begin with.
A good chunk of Tony Hoare’s billion would have been saved by earlier error messages.
Further Reading: Option
and Related Topics
The boxes below complement the discussion above. Go ahead and read them if you’re not too pressed for time.
Is Option
some exotic feature of Scala and its closest relatives?
No. A similar construct is available in various other languages. Increasingly so.
It is true that in several common languages such as C and Java, null
values
are in common use, sometimes for a good reason (see below), sometimes not. The most
recent versions of Java also feature an Optional
class of sorts; it’s too early to
say how popular it will become.
This isn’t just an issue of language. If the Option
class or an equivalent tool
isn’t available in a language, you can create one yourself. In Scala, too, Option
is
nothing more than a class in the standard library. Shown below is an abridged version
of the code that defines Option
, Some
, and None
.
You don’t have to understand every detail in the following code. For present purposes, the takeway is that even if Scala lacked this type, you wouldn’t need arcane arts to implement it. In fact, much of this code is quite comprehensible given what you’ve already learned in O1.
abstract class Option[InnerType] {
def getOrElse(default: =>InnerType) = if (this.isEmpty) default else this.get
def get: InnerType // implemented separately for Some and None below
def isEmpty: Boolean // implemented separately for Some and None below
def isDefined = !this.isEmpty
}
class Some[InnerType](val content: InnerType) extends Option[InnerType] {
def isEmpty = false
def get = this.content
}
object None extends Option[Nothing] {
def isEmpty = true
def get = throw new NoSuchElementException
}
// This is an abridged version of the implementation in the Scala API, which you can find here:
// https://github.com/scala/scala/blob/v2.11.8/src/library/scala/Option.scala
A more general lesson that we can draw here is that programmers define tools for themselves and for others. Those tools shape the ways in which we program.
All that being said, it’s plain that if a particular construct — Option
, say —
is a part of a programming language and frequently used in its standard libraries,
that is going to have an impact on the construct’s popularity among programmers who
use that language. So in part, this is an issue of language, too.
OK, so why does Scala even have null
? And why did we need to learn about it?
There’s a good many programmers who think languages such as Scala indeed should not
have null
.
Depending on circumstances, use of null
can be justifiable. In Scala, the null
reference is there primarily to improve Scala’s interoperability with other
languages. In particular, allowing Scala programmers to use null
makes it easier
to access libraries written for the Java programming language (more on which in
Chapter 5.4).
We want to move away from null. Null is a source of many, many errors. We could have come out with a language that just disallows null as a possible value of any type, because Scala has a perfectly good replacement called an option type. But of course a lot of Java libraries return nulls and we have to treat it in some way.
Future versions of Scala will have additional ways of eliminating null
-related
problems, or so we hear.
Someone programming in a different language may use null
because:
- there is a lack of conveniently available alternatives to
null
; - the surrounding programming culture embraces
null
; - there are specific reasons that make
null
efficient or convenient in a particular context; or simply because - they don’t know better.
When you use Option
, the computer needs to do a bit of additional work creating
Some
wrappers and extracting values from them. Often, that additional workload
has no practical significance at all, but sometimes it does.
We’ve already established that we’ll shun null
-based solutions in O1, as Scala
programmers tend to do. Nevertheless, it’s reasonable to introduce null
in an
introductory programming course that uses Scala, because:
null
values abound in various other programs and materials. Any present-day programmer should be acquainted with the concept. When you search online for information or study code written by others, you’re sure to eventually run intonull
.- This isn’t just a course in Scala or even primarily a course in Scala.
- This discussion gave us a nice opportunity to compare different approaches and briefly consider the design principles behind programming languages and their libraries. This helps us establish why we program the way that we do.
- Even if you avoid using
null
, you find yourself face-to-face with aNullPointerException
, and you should know your enemy.
Blathering on about Option
It’s certainly true that whether Option
is the right choice depends on one’s goals,
the context, and even on who’s doing the programming. It’s also true that even if
you eschew null
, there’ll still be lots of ways to write buggy programs. There
always are.
Option
has its pros and cons. The pros are easier to underestimate than the cons.
In any case, Option
is widely used in Scala programs and elsewhere. Even if for no
other reason, it’s a programming technique worth knowing.
In O1, we will use Option
extensively.
Summary of Key Points
- You can use class
Option
to represent a value that “maybe exists”.- An
Option
has a type parameter.Option[Int]
, for example, stands for “zero or one integer values”. - A value of type
Option
is either a reference to the singleton objectNone
(“an empty wrapper”) or aSome
object that “wraps” a single value within itself. - It’s almost always better to use an
Option
than to rely onnull
references.
- An
- Scala’s
match
command works well together with theOption
type. You can usematch
to select what to do based on whether a givenOption
contains a value or not. Later on, you’ll see other uses formatch
, too. - The
Option
class provides a number of convenient methods, which includegetOrElse
,isDefined
, andisEmpty
. Once you get to know more of these methods (in Chapter 8.2), you’ll findOption
increasingly easy to work with. - A programming language and its standard libraries may be designed
to eliminate software defects and to support the rapid detection of
programmer errors. The
Option
class is an example of this. - Links to the glossary:
Option
,null
; compile-time error, runtime error.
Feedback
Please note that this section must be completed individually. Even if you worked on this chapter with a pair, each of you should submit the form separately.
Credits
Thousands of students have given feedback that has contributed to this ebook’s design. Thank you!
The ebook’s chapters, programming assignments, and weekly bulletins have been written in Finnish and translated into English by Juha Sorva.
The appendices (glossary, Scala reference, FAQ, etc.) are by Juha Sorva unless otherwise specified on the page.
The automatic assessment of the assignments has been developed by: (in alphabetical order) Riku Autio, Nikolas Drosdek, Joonatan Honkamaa, Jaakko Kantojärvi, Niklas Kröger, Teemu Lehtinen, Strasdosky Otewa, Timi Seppälä, Teemu Sirkiä, and Aleksi Vartiainen.
The illustrations at the top of each chapter, and the similar drawings elsewhere in the ebook, are the work of Christina Lassheikki.
The animations that detail the execution Scala programs have been designed by Juha Sorva and Teemu Sirkiä. Teemu Sirkiä and Riku Autio did the technical implementation, relying on Teemu’s Jsvee and Kelmu toolkits.
The other diagrams and interactive presentations in the ebook are by Juha Sorva.
The O1Library software has been developed by Aleksi Lukkarinen and Juha Sorva. Several of its key components are built upon Aleksi’s SMCL library.
The pedagogy of using O1Library for simple graphical programming (such as Pic
) is
inspired by the textbooks How to Design Programs by Flatt, Felleisen, Findler, and
Krishnamurthi and Picturing Programs by Stephen Bloch.
The course platform A+ was originally created at Aalto’s LeTech research group as a student project. The open-source project is now shepherded by the Computer Science department’s edu-tech team and hosted by the department’s IT services. Markku Riekkinen is the current lead developer; dozens of Aalto students and others have also contributed.
The A+ Courses plugin, which supports A+ and O1 in IntelliJ IDEA, is another open-source project. It was created by Nikolai Denissov, Olli Kiljunen, and Nikolas Drosdek with input from Juha Sorva, Otto Seppälä, Arto Hellas, and others.
For O1’s current teaching staff, please see Chapter 1.1.
Additional credits appear at the ends of some chapters.
"third"
to be more precise”.