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Haskell is used in academia and industry. [29] [30] [31] As of May 2021, Haskell was the 28th most popular programming language by Google searches for tutorials, [32] and made up less than 1% of active users on the GitHub source code repository. [33]
Haskell (/ ˈ h æ s k əl /) is a general-purpose, statically typed, purely functional programming language with type inference and lazy evaluation.Designed for teaching, research, and industrial applications, Haskell pioneered several programming language features such as type classes, which enable type-safe operator overloading, and monadic input/output (IO).
Servant provides a type-level domain-specific language (DSL) to describe World Wide Web application programming interfaces (); various interpretations of such descriptions are possible: as a server, which dispatches requests to handlers; as documentation and schema specifications for the API; and as client libraries in various languages.
The Haskell Platform is a set of software packages, tools, and libraries that create a common platform for using and developing applications in the programming language Haskell. With the Haskell Platform, Haskell follows the same principle as Python : "Batteries included". [ 3 ]
In industry parlance, HDL design generally ends at the synthesis stage. Once the synthesis tool has mapped the HDL description into a gate netlist, the netlist is passed off to the back-end stage. Depending on the physical technology ( FPGA , ASIC gate array , ASIC standard cell ), HDLs may or may not play a significant role in the back-end flow.
R is widely used in new-style artificial intelligence, involving statistical computations, numerical analysis, the use of Bayesian inference, neural networks and in general machine learning. In domains like finance, biology, sociology or medicine it is considered one of the main standard languages.
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Lazy evaluation is used by default in several pure functional languages, including Miranda, Clean, and Haskell. Hughes 1984 argues for lazy evaluation as a mechanism for improving program modularity through separation of concerns , by easing independent implementation of producers and consumers of data streams. [ 2 ]