One of the best known examples is the interpreter Hugs, which is no longer actively developed. For a simple introduction to the Haskell programming language, this is preferable in any case. An interactive system has the advantage of providing a suitable command line in which you can experiment directly and evaluate expressions. Since Haskell is also a kind of standard for functional programming languages, learning it is also worthwhile if you want to build up a general know-how of functional programming.Īs with many other languages, you have two options for processing Haskell code: in batches with a compiler or interactively with an interpreter. In addition, you are well prepared if you have to deal with third-party applications that are written in Haskell. Learning Haskell can pay off for several reasons: First, you can subsequently program your own software solutions in Haskell, provided that the language is suitable as a basis. Typical examples are applications for network security, specification frameworks for embedded systems, and programs for modeling complex mathematical calculations. In industries in which the exact mapping of mathematical algorithms is required, Haskell is commonly chosen as a programming language. Haskell’s strengths also come into play when it comes to developing specifications and prototypes that can actually be executed, and thus tested and debugged. The functional language is particularly predestined for programs that should offer a high degree of modifiability and ease of maintenance. The “semantic” gap between programmer and language is minimal.Īs such, Haskell is suitable as a programming language for a wide range of applications.Haskell applications are less prone to errors and offer high reliability.The code for Haskell software is short, clear, and easy to maintain.Developer productivity can be significantly increased.Haskell is a particularly attractive option thanks to the following advantages: Functional programming languages such as Haskell can provide relief. It takes a lot of work, time, and money to develop and maintain large software projects.
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