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This list of JVM Languages comprises notable computer programming languages that are used to produce computer software that runs on the Java virtual machine (JVM). Some of these languages are interpreted by a Java program, and some are compiled to Java bytecode and just-in-time (JIT) compiled during execution as regular Java programs to improve performance.
FP (short for functional programming) [2] is a programming language created by John Backus to support the function-level programming [2] paradigm. It allows building programs from a set of generally useful primitives and avoiding named variables (a style also called tacit programming or "point free").
Functional programming is very different from imperative programming. The most significant differences stem from the fact that functional programming avoids side effects, which are used in imperative programming to implement state and I/O. Pure functional programming completely prevents side-effects and provides referential transparency.
It allows users to convert their Blockly code into other programming languages such as PHP, Python, etc. CiMPLE was a visual language for programming robotic kit designed for children. It was built on top of C as a DSL. ThinkLabs, an Indian Robotics education-based startup, built it for the iPitara Robotics Kit.
ReactiveX may be functional, and it may be reactive, but "functional reactive programming" is a different animal. One main point of difference is that functional reactive programming operates on values that change continuously over time, while ReactiveX operates on discrete values that are emitted over time.
Comparison of C Sharp and Java; Class (computer programming) Closure (computer programming) Command pattern; Command-line argument parsing; Comment (computer programming) Comparison of programming languages (algebraic data type) Composite entity pattern; Composite pattern; Conditional operator; Constant (computer programming) Continuation ...
In a purely functional language, the only dependencies between computations are data dependencies, and computations are deterministic. Therefore, to program in parallel, the programmer need only specify the pieces that should be computed in parallel, and the runtime can handle all other details such as distributing tasks to processors, managing synchronization and communication, and collecting ...
Folds can be regarded as consistently replacing the structural components of a data structure with functions and values. Lists, for example, are built up in many functional languages from two primitives: any list is either an empty list, commonly called nil ([]), or is constructed by prefixing an element in front of another list, creating what is called a cons node ( Cons(X1,Cons(X2,Cons ...