ScalaLab is a programming environment similar to Matlab that provides developers with more flexibility and speed for Scala and Java projects. ScalaLab doesn’t mean to replace the Java language, but to use it to the benefit of both users and programmers. The package includes a Java compiler and utilizes Java scientific libraries to meet the needs of Java developers. It is an open-source development solution, which means that it can be used to create commercial applications. Its inside engine relies on the Scala language and it is wrapped up inside a Matlab-like environment, which makes it appropriate for scientists, but not only. Any programmer with medium to advanced experience can use it to produce rich scientific applications, as long as they have the necessary background to comply with user requirements. The upper advantage of ScalaLab is that it can run heavy numerical tasks at superior speed, almost comparable with the one achieved by consecrated IDEs such as C, C++ and Fortran. The scripting language used in ScalaLab is ScalaSci, offering high-level mathematical operators that can be used in complex syntaxes and mixed with Java code. The user interface is well organized, providing access to all of the toolboxes encased inside the program and delivering a familiar feeling for users of Matlab. Scala’s most widely known feature is its extensibility, which turns ScalaLab into a platform that provides a variety of development possibilities. Many argue that it is superior to Java itself, because it can be exploited in an easier manner.
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ScalaLab is the development environment for different programming languages. Its pre-requisite is Java, but it can support other languages like C, C++, FORTRAN, Java or Ruby. ScalaLab is based on the Scala programming language, which is a language that was designed to combine the best features of object-oriented and functional languages, and to offer a higher level of abstraction. The user needs to know only one programming language, regardless of his background, and can use ScalaLab to create his new applications by simply writing code in Scala. ScalaLab is a simulation environment that offers the possibility of building simulation of processes and applications, as well as doing numerical and mathematical operations inside the scripts. It is commonly used for high-level programming, but it can also be used to create mid to low-level applications that implement mathematical functions. The user interface of ScalaLab allows multiple windows, matrices and graphical interfaces to be used to write scripts that implement numerical processing. There are two basic components of ScalaLab. The core component is an engine that can be used in order to work with Scala. The second component is a GUI that interacts with the engine. The first version of ScalaLab appeared about two years ago and the development continues actively. A web version of ScalaLab is currently being developed as well as a Windows version of the engine. The main goal of ScalaLab is to provide developers a tool that is well organized, with both a fast and user-friendly interface, and offers the possibility of mixing different languages. The basic principle of the environment is that it must be possible to mix the Scala code with the Python, Java or C/C++ code as well as all of the Matlab codes, which means that it must be possible to work with any development language at any time. The environment is generally used to write powerful numeric applications, but it can also be used to build sophisticated user interfaces. ScalaLab provides a large number of features, such as graphical interfaces, windows, mathematical operations and console windows. The language is a high-level language that can support any kind of task that can be performed in any development language. One of the strengths of ScalaLab is that it can perform numerical operations that take advantage of the high speed of Scala, and is able to calculate things in a more efficient manner than any conventional development environment. ScalaLab is mainly used by scientists, due to its ability to execute important tasks in a quick and streamlined manner, and due to its great speed. ScalaLab is an open 2f7fe94e24
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► Scalanova Scalanova is a Scala laboratory designed to facilitate the execution of services and functionnalities There are three ways of developing in ScalaLab : – using ScalaSci, – calling Java code using the ScalaLab API, and – calling external commands from ScalaLab. In this last case, a pipe is used as a coder, which is similar to Fubar, a programming environment for Ruby that is compatible with Matlab. Scalanova API can be used with a standard Java compiler, allowing Java developers to use ScalaLab in their projects to speed-up and ease the development process. Scalanova uses ScalaSci in fact, and it provides users with Scala-based mathematical operators such as addition, subtraction, multiplication, division, trigonometry, etc. Using ScalaLab API, the user can call external commands from the ScalaLab console, then wait for a new command input and execute that command. This way, the user can develop more complex and sophisticated software. The ScalaLab IDE, called ToolBox, includes toolboxes such as : – debugging, – the creation of a complete project, – debugging, – a graphical display of all the variables of the program, – matplotlib, – the definition of the constraints of the variables, – generation of random numbers, – linear and system models, – fast testing of the code, – etc.. Scalanova is currently a research project; in the future, it will become commercially available. ScalaLab is a programming environment similar to Matlab that provides developers with more flexibility and speed for Scala and Java projects. ScalaLab doesn’t mean to replace the Java language, but to use it to the benefit of both users and programmers. The package includes a Java compiler and utilizes Java scientific libraries to meet the needs of Java developers. It is an open-source development solution, which means that it can be used to create commercial applications. Its inside engine relies on the Scala language and it is wrapped up inside a Matlab-like environment, which makes it appropriate for scientists, but not only. Any programmer with medium to advanced experience can use it to produce rich scientific applications, as long as they have the necessary background to comply with user requirements. The upper advantage of ScalaLab is that it can run heavy numerical tasks at superior speed, almost comparable with the one achieved by consecrated IDEs such
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ScalaLab is an environment that carries your usual Matlab/Erlang/Java codes. It has an unusual framework, which allows you to add external Matlab commands and functions in scala, and it also has Java Code. ScalaLab contains many basic operations, such as arithmetic, mathematical, logical, and trigonometric operations. It also contains rich set of functions. You can also import library files or source code of other projects, and can compile and run them to get the benefit. Besides, these libraries are reusable and useful for future use. You can work with arrays, vectors, ranges and matrices and perform basic to advanced mathematical operations. Also, you can perform file and SQLite database operations. As a coding language, there are two forms, one is Matlab -like and the other is Scala, which includes object-oriented, collection, and functional programming. Scala: Scala is an open-source object-oriented programming language. It is designed to be an alternative to Java. As an object-oriented language, Scala supports.class files to work with. It provides Java-like OOP and functional programming in a single language. The scalatest framework is great for regression testing and unit testing. It provides a clean way to design and develop large-scale applications and a robust and fast testing environment. The language has support for lazy evaluation, which is similar to Haskell or functional languages. This is a significant advantage, as it reduces your program’s performance costs and improves it in many ways. Scala also has in-built collections like Set, Map, List, Vector. Features: Basic Math Support for: Math, trigonometric, log, sqrt, exp, log10, ln, and other mathematical functions View larger image View larger image Matlab: Matlab is an interpreted high-level language, which has many advanced programming features. It supports object oriented programming. Math and statistics functions are also supported in Matlab. There are functions for datasets and m-file programs to access the database. Matlab supports multithreading through threads. Matlab contains a full development environment, including a console, editor, compiler, and debugger. You can use the m-file type to run all tests. It has command line features for debugging and monitoring, which deliver a single interface to run, debug, and monitor your project. Program
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