About
            APL is an array-oriented programming language that will change the way you think about problems and data. With a powerful, concise syntax, it lets you develop shorter programs that enable you to think more about the problem you're trying to solve than how to express it to a computer.
             
            
        
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            About
            Lua is a powerful, efficient, lightweight, embeddable scripting language. It supports procedural programming, object-oriented programming, functional programming, data-driven programming, and data description. Lua combines simple procedural syntax with powerful data description constructs based on associative arrays and extensible semantics. Lua is dynamically typed, runs by interpreting bytecode with a register-based virtual machine, and has automatic memory management with incremental garbage collection, making it ideal for configuration, scripting, and rapid prototyping. Lua has a deserved reputation for performance. To claim to be "as fast as Lua" is an aspiration of other scripting languages. Several benchmarks show Lua as the fastest language in the realm of interpreted scripting languages. Lua is fast not only in fine-tuned benchmark programs, but in real life too. Substantial fractions of large applications have been written in Lua.
             
            
        
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            About
            The new generation Pascal programming language combines the simplicity of classic Pascal, a great number of modern extensions, and the broad capabilities of Microsoft .NET Framework. Free, simple, and powerful IDE. Built-in form designer for rapid development of Windows desktop applications. Download the latest version of PascalABC.NET with a build-in form designer. Several extensions of the Pascal language, including the foreach operator, in-block variable definitions, auto type deduction in variable definitions, simplified syntax of units, method implementations inside classes and records, a new operator for object construction, anonymous classes, auto-classes, BigIntegers, etc. The most modern features of programming languages like n-dimensional dynamic arrays, generics, interfaces, operator overloading, exceptions, garbage collection, and lambda expressions. IDE with integrated debugger, IntelliSense system, code templates, and code auto-formatting.
             
            
        
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            About
            R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.
             
            
        
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