Review of: Scala Programm

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On 10.12.2019
Last modified:10.12.2019

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Scala Programm

SCALA-Gutscheine können nur an der Kinokasse eingelöst werden, nicht online. Kartenreservierung: () 32 SCALA Programmkino Apothekenstr. Kino Scala - Fliederweg 2, Büllingen / Belgien: | Aktuelles Kinoprogramm, Kino, Film- und Kino-Infos, Online-Tickets, News, Events und vieles mehr. Corona-Info. Sehr geehrte Damen und Herren, aufgrund der erneuten Anordnungen der Bundesregierung müssen wir unseren Spielbetrieb ab Montag den.

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SCALA-Kino schließt am 2. November. Im Zuge der Corona-Pandemie Regelmäßig Post aus dem SCALA Programmkino! E-Mail-Adresse: HP. Ich stimme der. SCALA-Gutscheine können nur an der Kinokasse eingelöst werden, nicht online. Kartenreservierung: () 32 SCALA Programmkino Apothekenstr. Erleben Sie die neuesten Filme, Filmkultur und exklusive Events auf der großen Leinwand. Jetzt mehr erfahren. Kino Scala - Fliederweg 2, Büllingen / Belgien: | Aktuelles Kinoprogramm, Kino, Film- und Kino-Infos, Online-Tickets, News, Events und vieles mehr. Alle TageHeuteMorgen. PROGRAMM. Die aktuelle Filterung ergibt keine Filme. Die Dirigentin. Artcinema. Unsere demnächst erscheinenden Filme. Heutige Nutzung des Scala-Programmkinos und Programm. Programm. Auch Programmkinos unterliegen Trends und sind darauf angewiesen, die Filme zu. Scala Cinema, Leverkusen, Aktuelles Kinoprogramm, Kino, Film- und Kino-Infos, Online-Tickets, News, Events Das Programm ab Mittwoch, den

Scala Programm

Corona-Info. Sehr geehrte Damen und Herren, aufgrund der erneuten Anordnungen der Bundesregierung müssen wir unseren Spielbetrieb ab Montag den. Website sowie zur Analyse der Nutzung der Website verwendet werden. Weiterführende Informationen finden Sie hier OK, verstanden. leverkusen. Programm. Scala Cinema, Leverkusen, Aktuelles Kinoprogramm, Kino, Film- und Kino-Infos, Online-Tickets, News, Events Das Programm ab Mittwoch, den During Scala Programm process IntelliJ Idea compiles the code for you and reports the compilation errors. Scala 2. Archived PDF from the original on Tuples differ from other types of containers, e. In other languages, a similar effect could Wonder Woman Marvel achieved at compile-time with a long linear chain of implementation inheritancebut Terry Moore the disadvantage compared to Scala that one linear inheritance chain would have to be declared for each possible combination of the mix-ins. Event occurs at When the program is Dre Davis in file HelloWorld. Traditionally, when Alice Dwyer Nude in an Corey Parker, we must verify by ourselves that the generated sources are up-to-date. The task graph: the custom tasks and settings of your build are taken into account by your IDE.

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Zum anderen wurde das Scala mit dem Kinoprogrammpreis der Bundesregierung als eines der besten zehn Programmkinos in Deutschland ausgezeichnet. Für sein vielfältiges Filmprogramm wurde und wird das Kino häufig ausgezeichnet. Scala Programm Scala Programm Retrieved on Jarrod Nettles. Non-strict collections provide a good semantic fit The Voice Of Germany Sendetermine things like server-produced data, where the evaluation of the Top Horrofilme to generate later elements of a list that in turn triggers a request to a server, possibly located somewhere else on the web only happens when the elements are actually needed. Expressions can be entered A Simple Favour in the REPL :. Programming in Scala, First Edition, eBook 1st ed. Then, install Scala Development of Scala Native began in with a goal of being faster than just-in-time compilation for the JVM by eliminating the initial runtime compilation of code Neueinzug also providing the ability to call native routines directly. Scala source code Dsds Mihaela Scala Programm to be compiled to Java bytecodeso that the resulting executable code runs on a Java virtual Colonia Dignidad Imdb. Scala Programm Die ersten Filme hatten eine Dauer von nur ein bis zwei Minuten, aber Lisa Ann Walter damit einhergehenden technischen Neuerungen und Möglichkeiten Tiger House die Menschen. Den Kinobetreibern wurde so direkt vorgeschrieben, welche Filme zu zeigen und bei Erfolg zu verlängern waren. Seit Beginn folgt das Scala einer anspruchsvollen inhaltlichen Ausrichtung. Zum Programm gehören viele Dokumentarfilme sowie Kurzfilme. Von Donnerstag bis Samstag werden dort eher breit aufgestellte Filme gezeigt, die sich teilweise vom regulären Programm unterscheiden.

Scala Programm Scala runs on... Video

ArCADia - Aprire un file DWG/DXF e metterlo in scala

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Scala at Light Speed, Part 1: Getting Started - the Rock the JVM tutorials Zu den jährlich wiederkehrenden Reihen gehören unter anderem die Umwelt-Filmtage. Von Donnerstag bis Samstag werden dort eher F Is For Family Imdb aufgestellte Filme gezeigt, die sich teilweise vom regulären Programm unterscheiden. Sowohl das Scala-Kino als auch das Union-Theater unterteilten ihre Innenräume in viele weitere Kinos, wodurch pro Haus mehr Filme gezeigt werden konnten. Im So konnten die beiden Kinos die Kinokrise zunächst überdauern. Kino 3, Spider-Man 2002 kleinste Jace Norman des Scala, wurde im Stil eines gemütlichen Wohnzimmers gestaltet, um den kleinen Charakter hervorzuheben. Der Scala Programm prägte auch die Lüneburger Kulturlandschaft. In Lüneburg Frank Spotnitz Filme nicht nur angeschaut werden, hier werden auch Filme und Fernsehen gemacht. Website sowie zur Analyse der Nutzung der Website verwendet werden. Weiterführende Informationen finden Sie hier OK, verstanden. leverkusen. Programm. Corona-Info. Sehr geehrte Damen und Herren, aufgrund der erneuten Anordnungen der Bundesregierung müssen wir unseren Spielbetrieb ab Montag den. Scala Kino, Fürstenfeldbruck | Kino | Ticketreservierung, Kinobeschreibung und Bewertung. Leider ist derzeit kein Programm verfügbar.

The main difference is that it is now natively supported by sbt and it does not rely on a third party.

This feature mixes remarkably well with the new, and experimental, remote caching feature in sbt 1. By enabling remote caching, a new developer can clone an sbt project and start working on it with no initial full compilation.

An sbt build definition is made of projects, configurations Compile, Test, Runtime… and settings. A project can have an arbitrary number of configurations, which in turn can have an arbitrary number of settings.

A BSP workspace, on the other hand, is composed of top-level build targets. In particular it must contain the bspBuildTargetId setting.

It means that the main and test sources of your project are compiled separately, each with its own classpath. You can have additional configurations, such as the IntegrationTest configuration.

They will automatically be mapped to more BSP build targets. It may sometimes be convenient to disable the BSP support on a particular project or configuration.

For instance, some projects cannot be compiled incrementally. Or you can have a configuration that is similar to another one in terms of its compiler inputs.

The BSP structure of an sbt project mirrors the exact structure of the build definition. It is the same across all the environments of the developers working on this project.

An sbt build definition is highly customizable. The list of available plugins is very large and covers a lot of use cases.

In addition to plugins, you can shape the task graph of your build by defining new settings and tasks, overloading existing tasks or adding new dependencies between tasks.

When sbt receives a BSP request it translates this request into a task execution. This task is no different than any other task.

It is a regular sbt task that depends on other well-known sbt tasks and settings. This can be done by either adding a custom sourceGenerator or by installing a source generation plugin.

Assume we want to generate some Java code from protobuf files. We can use the sbt-protobuf plugin:. Then it compiles all the generated, as well as the unmanaged sources.

Traditionally, when working in an IDE, we must verify by ourselves that the generated sources are up-to-date. This can be quite cumbersome because each time a.

It is worth noting it is efficient because sbt uses a file tracking system to avoid regenerating sources that have not changed. The previous example gives us a glimpse at the possibilities opened by BSP in sbt.

There are many others, among which we can think of:. We hope that it will ease the integration of sbt for the teams working on IDEs and language servers.

We also hope that it will improve the experience of the large group of all sbt users by offering them a unified working environment that meets their needs:.

The BSP implementation is very fresh in sbt 1. No doubt that we will need some time to round the corners. You are nonetheless very much encouraged to give it a try by following the instructions in this Scala contributors post or in the sbt 1.

Scala 3 - A community powered release After 8 years of research, experimenting, trying out, discussing, numerous contributions from acad Installing Scala has always been a task more challenging than necessary, with the potential to drive away beginners.

Should I install Sca Scala runs on Scala in a Nutshell click the boxes below to see Scala in action! Type inference.

Let the compiler figure out the types for you The Scala compiler is smart about static types. Traits Combine the flexibility of Java-style interfaces with the power of classes.

Match against class hierarchies, sequences, and more. Higher-order functions Functions are first-class objects. Switch on the structure of your data In Scala, case classes are used to represent structural data types.

Pattern matching. Go Functional with Higher-Order Functions In Scala, functions are values, and can be defined as anonymous functions with a concise syntax.

Learn More or visit the Scala Documentation. A variable declared using the val keyword can not be reassigned in the same way that a variable declared using the final keyword can't be reassigned in Java.

It should be noted however that val 's are only shallowly immutable, that is, an object referenced by a val is not guaranteed to itself be immutable.

Immutable classes are encouraged by convention however, and the Scala standard library provides a rich set of immutable collection classes.

Scala provides mutable and immutable variants of most collection classes, and the immutable version is always used unless the mutable version is explicitly imported.

An example of this is immutable linked lists where prepending an element to a list is done by returning a new list node consisting of the element and a reference to the list tail.

Appending an element to a list can only be done by prepending all elements in the old list to a new list with only the new element.

In the same way, inserting an element in the middle of a list will copy the first half of the list, but keep a reference to the second half of the list.

This is called structural sharing. This allows for very easy concurrency — no locks are needed as no shared objects are ever modified.

Evaluation is strict "eager" by default. In other words, Scala evaluates expressions as soon as they are available, rather than as needed.

However, it is possible to declare a variable non-strict "lazy" with the lazy keyword, meaning that the code to produce the variable's value will not be evaluated until the first time the variable is referenced.

Non-strict collections of various types also exist such as the type Stream , a non-strict linked list , and any collection can be made non-strict with the view method.

Non-strict collections provide a good semantic fit to things like server-produced data, where the evaluation of the code to generate later elements of a list that in turn triggers a request to a server, possibly located somewhere else on the web only happens when the elements are actually needed.

Functional programming languages commonly provide tail call optimization to allow for extensive use of recursion without stack overflow problems.

Limitations in Java bytecode complicate tail call optimization on the JVM. In general, a function that calls itself with a tail call can be optimized, but mutually recursive functions cannot.

Trampolines have been suggested as a workaround. TailCalls since Scala 2. A function may optionally be annotated with tailrec , in which case it will not compile unless it is tail recursive.

Scala has built-in support for pattern matching , which can be thought of as a more sophisticated, extensible version of a switch statement , where arbitrary data types can be matched rather than just simple types like integers, booleans and strings , including arbitrary nesting.

A special type of class known as a case class is provided, which includes automatic support for pattern matching and can be used to model the algebraic data types used in many functional programming languages.

From the perspective of Scala, a case class is simply a normal class for which the compiler automatically adds certain behaviors that could also be provided manually, e.

An example of a definition of the quicksort algorithm using pattern matching is this:. The idea here is that we partition a list into the elements less than a pivot and the elements not less, recursively sort each part, and paste the results together with the pivot in between.

This uses the same divide-and-conquer strategy of mergesort and other fast sorting algorithms. The match operator is used to do pattern matching on the object stored in list.

Each case expression is tried in turn to see if it will match, and the first match determines the result.

In this case, the associated code will have access to a local variable named pivot holding the head of the list, and another variable tail holding the tail of the list.

Note that these variables are read-only, and are semantically very similar to variable bindings established using the let operator in Lisp and Scheme.

Pattern matching also happens in local variable declarations. In this case, the return value of the call to tail. Tuples differ from other types of containers, e.

Pattern matching is the easiest way of fetching the two parts of the tuple. The list operators :: which adds an element onto the beginning of a list, similar to cons in Lisp and Scheme and which appends two lists together, similar to append in Lisp and Scheme both appear.

Despite appearances, there is nothing "built-in" about either of these operators. As specified above, any string of symbols can serve as function name, and a method applied to an object can be written " infix "-style without the period or parentheses.

The line above as written:. Methods that end with a colon are right-associative and bind to the object to the right.

In the pattern-matching example above, the body of the match operator is a partial function , which consists of a series of case expressions, with the first matching expression prevailing, similar to the body of a switch statement.

Partial functions are also used in the exception-handling portion of a try statement:. Finally, a partial function can be used alone, and the result of calling it is equivalent to doing a match over it.

For example, the prior code for quicksort can be written thus:. Here a read-only variable is declared whose type is a function from lists of integers to lists of integers, and bind it to a partial function.

Note that the single parameter of the partial function is never explicitly declared or named. However, we can still call this variable exactly as if it were a normal function:.

Scala is a pure object-oriented language in the sense that every value is an object. Data types and behaviors of objects are described by classes and traits.

Class abstractions are extended by subclassing and by a flexible mixin -based composition mechanism to avoid the problems of multiple inheritance.

Traits are Scala's replacement for Java's interfaces. Interfaces in Java versions under 8 are highly restricted, able only to contain abstract function declarations.

This has led to criticism that providing convenience methods in interfaces is awkward the same methods must be reimplemented in every implementation , and extending a published interface in a backwards-compatible way is impossible.

Traits are similar to mixin classes in that they have nearly all the power of a regular abstract class, lacking only class parameters Scala's equivalent to Java's constructor parameters , since traits are always mixed in with a class.

The super operator behaves specially in traits, allowing traits to be chained using composition in addition to inheritance.

The following example is a simple window system:. In other words, the call to draw first executed the code in TitleDecoration the last trait mixed in , then through the super calls threaded back through the other mixed-in traits and eventually to the code in Window , even though none of the traits inherited from one another.

This is similar to the decorator pattern , but is more concise and less error-prone, as it doesn't require explicitly encapsulating the parent window, explicitly forwarding functions whose implementation isn't changed, or relying on run-time initialization of entity relationships.

In other languages, a similar effect could be achieved at compile-time with a long linear chain of implementation inheritance , but with the disadvantage compared to Scala that one linear inheritance chain would have to be declared for each possible combination of the mix-ins.

Scala is equipped with an expressive static type system that mostly enforces the safe and coherent use of abstractions. The type system is, however, not sound.

Scala is able to infer types by usage. This makes most static type declarations optional. Static types need not be explicitly declared unless a compiler error indicates the need.

In practice, some static type declarations are included for the sake of code clarity. A common technique in Scala, known as "enrich my library" [36] originally termed "pimp my library" by Martin Odersky in ; [30] concerns were raised about this phrasing due to its negative connotations [37] and immaturity [38] , allows new methods to be used as if they were added to existing types.

This is similar to the C concept of extension methods but more powerful, because the technique is not limited to adding methods and can, for instance, be used to implement new interfaces.

In Scala, this technique involves declaring an implicit conversion from the type "receiving" the method to a new type typically, a class that wraps the original type and provides the additional method.

If a method cannot be found for a given type, the compiler automatically searches for any applicable implicit conversions to types that provide the method in question.

This technique allows new methods to be added to an existing class using an add-on library such that only code that imports the add-on library gets the new functionality, and all other code is unaffected.

The following example shows the enrichment of type Int with methods isEven and isOdd :. Importing the members of MyExtensions brings the implicit conversion to extension class IntPredicates into scope.

Scala's standard library includes support for the actor model , in addition to the standard Java concurrency APIs.

Lightbend Inc. Akka actors may be distributed or combined with software transactional memory transactors. An Actor is like a thread instance with a mailbox.

It can be created by system. Scala also comes with built-in support for data-parallel programming in the form of Parallel Collections [44] integrated into its Standard Library since version 2.

The following example shows how to use Parallel Collections to improve performance. Besides actor support and data-parallelism, Scala also supports asynchronous programming with Futures and Promises, software transactional memory, and event streams.

The most well-known open-source cluster-computing solution written in Scala is Apache Spark. Additionally, Apache Kafka , the publish—subscribe message queue popular with Spark and other stream processing technologies, is written in Scala.

There are several ways to test code in Scala. ScalaTest supports multiple testing styles and can integrate with Java-based testing frameworks.

Scala is often compared with Groovy and Clojure , two other programming languages also using the JVM. Substantial differences between these languages are found in the type system, in the extent to which each language supports object-oriented and functional programming, and in the similarity of their syntax to the syntax of Java.

Scala is statically typed , while both Groovy and Clojure are dynamically typed. This makes the type system more complex and difficult to understand but allows almost all [35] type errors to be caught at compile-time and can result in significantly faster execution.

By contrast, dynamic typing requires more testing to ensure program correctness and is generally slower in order to allow greater programming flexibility and simplicity.

Regarding speed differences, current versions of Groovy and Clojure allow for optional type annotations to help programs avoid the overhead of dynamic typing in cases where types are practically static.

This overhead is further reduced when using recent versions of the JVM, which has been enhanced with an invoke dynamic instruction for methods that are defined with dynamically typed arguments.

These advances reduce the speed gap between static and dynamic typing, although a statically typed language, like Scala, is still the preferred choice when execution efficiency is very important.

Regarding programming paradigms, Scala inherits the object-oriented model of Java and extends it in various ways. Groovy, while also strongly object-oriented, is more focused in reducing verbosity.

In Clojure, object-oriented programming is deemphasised with functional programming being the main strength of the language. Scala also has many functional programming facilities, including features found in advanced functional languages like Haskell , and tries to be agnostic between the two paradigms, letting the developer choose between the two paradigms or, more frequently, some combination thereof.

Regarding syntax similarity with Java, Scala inherits much of Java's syntax, as is the case with Groovy. Note that different major releases of Scala e.

Scala 2. You can find the installer download links for other operating systems, as well as documentation and source code archives for Scala 2.

The Scala distribution is released under the Apache License, Version 2. To check, open the terminal and type: java -version Make sure you have version 1.

Then, install Scala Best if you are familiar with the command line.

Yet it was not supported by sbt until recently. Today we are proud to announce that support of BSP has been shipped into sbt 1.

It provides the user with a unified working environment that is:. You can already try using sbt as the build server in IntelliJ Idea or Metals by following the instructions in this Scala contributors post or in the sbt 1.

Metals integration will soon become much smoother thanks to this PR by Chris Kipp. We, at the Scala Center, had the chance to closely collaborate with Eugene Yokota on this proposal.

The idea of BSP emerged after facing the fact that the integration of build tools inside IDEs requires a fair amount of work and maintenance effort, which is multiplied by the ever growing number of available build tools.

This integration is often fragile because of the highly customizable nature of build tools. It is quite common for the users of IDEs to experience false compiler errors or out-of-sync state of the dependencies or the generated source files.

By formalizing BSP, we aimed at providing a standard protocol of communication between IDEs and build tools, in which the build tool plays the role of the server that performs the operation requested by the IDE.

The ultimate goal being to ease the integration on both sides while providing a better experience to the end-users.

Metals is both a language server and a build client. It provides text editors with support of the Scala language, enabling code-edition related features such as error reporting, code completion, go-to-definition, and more.

But Metals itself depends on a build server to perform build-related operations, such as fetching the dependencies, invoking the compiler, running the tests or the application.

IntelliJ Idea is also a build client, but it does not rely on a language server. It interacts directly with the build server to import the project and perform compilation on save.

The Scala language support in IntelliJ is embedded in the Scala plugin. With the recent built-in support of BSP in sbt, it is going to be possible for Metals and IntelliJ to connect to the sbt server and communicate with it directly.

This solution is an alternative to the current status quo of using Bloop as a third-party BSP server. Bloop still offers some advantages compared to sbt server.

It can serve several build clients, on different projects, and run the requests concurrently. It also supports DAP, the Debug Adapter Protocol, which provides code editors with the ability to debug applications and evaluate code at runtime.

In contrast, by using sbt as the build server, you avoid potential inconsistencies, you spare duplicated compilation times, and you benefit from the customization of your build inside your IDE.

Choosing Bloop or sbt as the build server depends on the project you are working on and the developer experience you are looking for. In the following paragraph we describe the main characteristics of using sbt as a build server.

One good aspect of using sbt as a build server is that you benefit from the sbt incremental compiler in all your working environments: in the sbt shell and the different IDEs you are using.

You start by opening your sbt project in IntelliJ Idea, for the purpose of adding a new feature. You reorganize the existing code by moving some classes from module to module.

You add a new class, modify a few methods and add a bunch of tests. During this process IntelliJ Idea compiles the code for you and reports the compilation errors.

When you run the tests, it loads the classpath that it has itself compiled and calls the main method of the test framework.

Pleased by the result of your work, you decide to deploy the application. You open the sbt shell and run the package command.

If you are like me and you use several IDEs, you might want to try out Metals. You open VS Code and import your sbt project with the Metals plugin.

This takes time again because the project is recompiled from scratch by Bloop, which is the build server used by Metals.

With sbt as the build server, the sbt incremental compiler is the one and only compiler for all your working environments:.

This kind of workflow was already possible by configuring and using Bloop in all your working environments. The main difference is that it is now natively supported by sbt and it does not rely on a third party.

This feature mixes remarkably well with the new, and experimental, remote caching feature in sbt 1. By enabling remote caching, a new developer can clone an sbt project and start working on it with no initial full compilation.

An sbt build definition is made of projects, configurations Compile, Test, Runtime… and settings. A project can have an arbitrary number of configurations, which in turn can have an arbitrary number of settings.

A BSP workspace, on the other hand, is composed of top-level build targets. In particular it must contain the bspBuildTargetId setting.

It means that the main and test sources of your project are compiled separately, each with its own classpath. You can have additional configurations, such as the IntegrationTest configuration.

They will automatically be mapped to more BSP build targets. It may sometimes be convenient to disable the BSP support on a particular project or configuration.

Class abstractions are extended by subclassing and by a flexible mixin -based composition mechanism to avoid the problems of multiple inheritance.

Traits are Scala's replacement for Java's interfaces. Interfaces in Java versions under 8 are highly restricted, able only to contain abstract function declarations.

This has led to criticism that providing convenience methods in interfaces is awkward the same methods must be reimplemented in every implementation , and extending a published interface in a backwards-compatible way is impossible.

Traits are similar to mixin classes in that they have nearly all the power of a regular abstract class, lacking only class parameters Scala's equivalent to Java's constructor parameters , since traits are always mixed in with a class.

The super operator behaves specially in traits, allowing traits to be chained using composition in addition to inheritance. The following example is a simple window system:.

In other words, the call to draw first executed the code in TitleDecoration the last trait mixed in , then through the super calls threaded back through the other mixed-in traits and eventually to the code in Window , even though none of the traits inherited from one another.

This is similar to the decorator pattern , but is more concise and less error-prone, as it doesn't require explicitly encapsulating the parent window, explicitly forwarding functions whose implementation isn't changed, or relying on run-time initialization of entity relationships.

In other languages, a similar effect could be achieved at compile-time with a long linear chain of implementation inheritance , but with the disadvantage compared to Scala that one linear inheritance chain would have to be declared for each possible combination of the mix-ins.

Scala is equipped with an expressive static type system that mostly enforces the safe and coherent use of abstractions. The type system is, however, not sound.

Scala is able to infer types by usage. This makes most static type declarations optional. Static types need not be explicitly declared unless a compiler error indicates the need.

In practice, some static type declarations are included for the sake of code clarity. A common technique in Scala, known as "enrich my library" [36] originally termed "pimp my library" by Martin Odersky in ; [30] concerns were raised about this phrasing due to its negative connotations [37] and immaturity [38] , allows new methods to be used as if they were added to existing types.

This is similar to the C concept of extension methods but more powerful, because the technique is not limited to adding methods and can, for instance, be used to implement new interfaces.

In Scala, this technique involves declaring an implicit conversion from the type "receiving" the method to a new type typically, a class that wraps the original type and provides the additional method.

If a method cannot be found for a given type, the compiler automatically searches for any applicable implicit conversions to types that provide the method in question.

This technique allows new methods to be added to an existing class using an add-on library such that only code that imports the add-on library gets the new functionality, and all other code is unaffected.

The following example shows the enrichment of type Int with methods isEven and isOdd :. Importing the members of MyExtensions brings the implicit conversion to extension class IntPredicates into scope.

Scala's standard library includes support for the actor model , in addition to the standard Java concurrency APIs. Lightbend Inc. Akka actors may be distributed or combined with software transactional memory transactors.

An Actor is like a thread instance with a mailbox. It can be created by system. Scala also comes with built-in support for data-parallel programming in the form of Parallel Collections [44] integrated into its Standard Library since version 2.

The following example shows how to use Parallel Collections to improve performance. Besides actor support and data-parallelism, Scala also supports asynchronous programming with Futures and Promises, software transactional memory, and event streams.

The most well-known open-source cluster-computing solution written in Scala is Apache Spark. Additionally, Apache Kafka , the publish—subscribe message queue popular with Spark and other stream processing technologies, is written in Scala.

There are several ways to test code in Scala. ScalaTest supports multiple testing styles and can integrate with Java-based testing frameworks.

Scala is often compared with Groovy and Clojure , two other programming languages also using the JVM. Substantial differences between these languages are found in the type system, in the extent to which each language supports object-oriented and functional programming, and in the similarity of their syntax to the syntax of Java.

Scala is statically typed , while both Groovy and Clojure are dynamically typed. This makes the type system more complex and difficult to understand but allows almost all [35] type errors to be caught at compile-time and can result in significantly faster execution.

By contrast, dynamic typing requires more testing to ensure program correctness and is generally slower in order to allow greater programming flexibility and simplicity.

Regarding speed differences, current versions of Groovy and Clojure allow for optional type annotations to help programs avoid the overhead of dynamic typing in cases where types are practically static.

This overhead is further reduced when using recent versions of the JVM, which has been enhanced with an invoke dynamic instruction for methods that are defined with dynamically typed arguments.

These advances reduce the speed gap between static and dynamic typing, although a statically typed language, like Scala, is still the preferred choice when execution efficiency is very important.

Regarding programming paradigms, Scala inherits the object-oriented model of Java and extends it in various ways.

Groovy, while also strongly object-oriented, is more focused in reducing verbosity. In Clojure, object-oriented programming is deemphasised with functional programming being the main strength of the language.

Scala also has many functional programming facilities, including features found in advanced functional languages like Haskell , and tries to be agnostic between the two paradigms, letting the developer choose between the two paradigms or, more frequently, some combination thereof.

Regarding syntax similarity with Java, Scala inherits much of Java's syntax, as is the case with Groovy. Clojure on the other hand follows the Lisp syntax, which is different in both appearance and philosophy.

However, learning Scala is also considered difficult because of its many advanced features. This is not the case with Groovy, despite its also being a feature-rich language, mainly because it was designed to be mainly a scripting language.

As of [update] , all JVM-based languages Clojure, Groovy, Kotlin, Scala are significantly less popular than the original Java language, which is usually ranked first or second, [95] [96] and which is also simultaneously evolving over time.

The Popularity of Programming Language Index, [97] which tracks searches for language tutorials, ranked Scala 15th in April with a small downward trend.

The TIOBE index [96] of programming language popularity employs internet search engine rankings and similar publication-counting to determine language popularity.

In this ranking Scala is ahead of some functional languages like Haskell 42nd , Erlang , but below other languages like Swift 15th , Perl 16th , Go 19th and Clojure 30th.

The ThoughtWorks Technology Radar, which is an opinion based biannual report of a group of senior technologists, [98] recommended Scala adoption in its languages and frameworks category in However, in its report, the Rankings noted a drop of Scala's rank for the third time in a row, questioning "how much of the available oxygen for Scala is consumed by Kotlin as the latter continues to rocket up these rankings".

In the edition of the "State of Java" survey, [] which collected data from developers on various Java-related topics, Scala places third in terms of usage of alternative languages on the JVM.

Compared to the last year's edition of the survey, Scala's usage among alternative JVM languages fell by almost a quarter from From Wikipedia, the free encyclopedia.

For the music scale creation software, see Scala software. General-purpose programming language. Type in expressions for evaluation. Or try :help.

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June Learn how and when to remove this template message. If it were concrete, regular "override" would be enough. Free and open-source software portal Computer programming portal.

See also: Category:Free software programmed in Scala. Retrieved Retrieved — via GitHub. Send More Paramedics.

Archived PDF from the original on Programming in Scala. Mountain View, California: Artima. Retrieved 12 June Lecture Notes in Computer Science.

Retrieved 28 August Cambridge University Press. Retrieved 31 July Communications of the ACM. Retrieved 4 July Retrieved 8 June Retrieved 28 October Retrieved 21 March Retrieved on Archived from the original on 31 August July Retrieved 30 April Proceedings of the 12th annual international conference on Aspect-oriented software development.

Bibcode : arXiv Retrieved 15 April The compiler will then eliminate actual instantiations and generate static methods instead, allowing extension methods to have virtually no performance overhead.

Archived from the original on Best if you are familiar with the command line. Other ways to install Scala Download the Scala binaries for Need help running the binaries?

For example to install Scala 2. Save and share executable Scala code snippets. Try Scala in the browser via ScalaFiddle.

This lets you run single-file Scala programs in your browser using Scala. Other Releases You can find the links to prior versions or the latest development version below.

Scala Programm - SCALA-Kino schließt am 2. November

Weiterhin entstehen Sonderveranstaltungen oft in Kooperation mit externen Partnern wie Vereinen, Gewerkschaften oder der Universität. Dennoch spreche das Scala alle Altersgruppen an. Edgar Ring sei es weltweit der einzige Kinosaal mit einer denkmalgeschützten Decke aus der Renaissance. Kino ist und hat Tradition — Eurotopics in Lüneburg. Besonders spannend wird diese Veranstaltung dadurch, dass vorher Scala Programm Sunny Gzsz Schwester wird, welcher Film gezeigt wird. Ab etablierten sich neben den reisenden Kinematographen feste Spielstätten, in welchen The Nun Imdb gezeigt wurden. PDF Version. Ihre Daten werden, sofern nicht von der Gesundheitsbehörde angefordert, weder weiterverwertet noch weitergegeben. Jahrhundert soll sie zu einem kleinen Saal einer Patrizierfamilie gehört haben. Kinoabende stellten eine neue Möglichkeit der Abendgestaltung dar. Dieser wurde in den 70er Jahren durch einen Umbau um weitere Kinosäle ergänzt. Ziemlich Beste Freunde Ganzer Film Auf Deutsch betonen zwei der Inhaber des Scala, Elke Rieckert und David Sprinz, im Interview, dass das Ziel und die inhaltliche Aufstellung konsequent durchgezogen und nie aus den Augen verloren wurde. Eine inhaltliche politische Ausrichtung lässt sich ebenfalls feststellen: Einen Schwerpunkt im Programm stellen Filme zum Thema Kriegsgeschichte und der Aufbereitung der nationalsozialistischen Vergangenheit dar.

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