Lisp (programming language)
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| Lisp (programming language) | |
|---|---|
| Name | Lisp |
| Paradigm | Multi-paradigm |
| Designed by | John McCarthy |
| Developed by | MIT |
| First appeared | 1958 |
| Typing | Dynamic |
| Implementations | Steel Bank Common Lisp, Clozure CL, SBCL |
| Influenced by | Information Processing Language, Fortran |
| Influenced | Scheme, Racket, Clojure |
Lisp (programming language) is a family of programming languages based on a unique set of features such as recursive functions, macros, and symbolic expressions, developed by John McCarthy and his team at MIT in the late 1950s, with influences from Information Processing Language and Fortran. The language was first introduced at the 1958 Computer Science Conference and was initially called LISP 1.5. It has since become a popular language in the fields of Artificial Intelligence, Computer Science, and Data Analysis, with notable users including Douglas Hofstadter, Marvin Minsky, and Edsger W. Dijkstra. Lisp has also been used in various applications, including Expert Systems, Natural Language Processing, and Computer Vision, with contributions from researchers at Stanford University, Carnegie Mellon University, and University of California, Berkeley.
Introduction
Lisp is a multi-paradigm language that supports functional programming, object-oriented programming, and imperative programming, making it a versatile tool for a wide range of applications, from Web Development with Hunchentoot and UnCommon Web, to Game Development with LispWorks and Corman Lisp. Its unique features, such as macros and symbolic expressions, have made it a popular choice among programmers, including Paul Graham, Robert Morris, and Donald Knuth. Lisp has also been used in various industries, including Finance with Goldman Sachs and J.P. Morgan, and Healthcare with National Institutes of Health and World Health Organization. Additionally, Lisp has been used in Robotics with MIT Robotics and Stanford Robotics, and in Machine Learning with Google and Microsoft Research.
History
The development of Lisp began in the 1950s, with the first version, LISP 1.5, being released in 1958 by John McCarthy and his team at MIT. This was followed by the development of LISP 1.6 and MACLISP, which were used in various applications, including Artificial Intelligence and Computer Science. In the 1970s, Scheme was developed by Gerald Jay Sussman and Guy L. Steele Jr. at MIT, which introduced a number of new features, including lexical scoping and tail recursion. The 1980s saw the development of Common Lisp, which was designed to be a standardized version of the language, with contributions from Xerox PARC, Lucid Inc., and Symbolics. This led to the creation of various dialects, including Steel Bank Common Lisp and Clozure CL, which are still widely used today, with support from Free Software Foundation and GNU Project.
Language_features
Lisp has a number of unique features that set it apart from other programming languages, including macros, which allow programmers to extend the language itself, and symbolic expressions, which allow for the manipulation of code as data, with applications in Meta-Programming and Domain-Specific Languages. Lisp also supports functional programming, with features such as higher-order functions and closures, which have been influential in the development of languages such as Haskell and Scala. Additionally, Lisp has a strong focus on recursion, with features such as tail recursion and memoization, which have been used in various applications, including Algorithm Design and Data Structures. Lisp's dynamic typing system also allows for flexibility and ease of use, with support from Type Theory and Category Theory.
Dialects
Over the years, a number of dialects of Lisp have been developed, each with its own unique features and applications, including Scheme, Racket, and Clojure. Common Lisp is a standardized version of the language, which is widely used in industry and academia, with support from ANSI and IEEE. Steel Bank Common Lisp and Clozure CL are two popular implementations of Common Lisp, which are known for their performance and reliability, with contributions from Google Summer of Code and Free Software Foundation. Other dialects, such as AutoLISP and Dylan, have been developed for specific applications, including Computer-Aided Design and Web Development, with support from Autodesk and Apple Inc..
Applications
Lisp has been used in a wide range of applications, including Artificial Intelligence, Computer Science, and Data Analysis, with notable users including NASA, IBM, and Microsoft. Lisp has also been used in various industries, including Finance with Goldman Sachs and J.P. Morgan, and Healthcare with National Institutes of Health and World Health Organization. Additionally, Lisp has been used in Robotics with MIT Robotics and Stanford Robotics, and in Machine Learning with Google and Microsoft Research. Lisp's unique features, such as macros and symbolic expressions, have made it a popular choice among programmers, including Paul Graham, Robert Morris, and Donald Knuth.
Implementations
There are a number of implementations of Lisp available, including Steel Bank Common Lisp, Clozure CL, and SBCL. These implementations provide a range of features, including just-in-time compilation, garbage collection, and debugging tools, with support from GNU Project and Free Software Foundation. Some implementations, such as LispWorks and Corman Lisp, are designed for specific applications, including Game Development and Web Development, with contributions from Game Developers Conference and Web Development Conference. Others, such as MIT Scheme and Guile, are designed for research and education, with support from National Science Foundation and European Research Council. Additionally, there are a number of commercial implementations available, including Allegro Common Lisp and LispWorks, which offer advanced features and support, with contributions from Franz Inc. and LispWorks Ltd..