Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Lisp (programming language)

Lisp (historically LISP, an abbreviation of "list processing") is a family of programming languages with a long history and a distinctive, fully parenthesized prefix notation. Originally specified in the late 1950s, it is the second-oldest high-level programming language still in common use, after Fortran. Lisp has changed since its early days, and many…

History & Standards

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Lisp (programming language). Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Designed by
John McCarthy
Developer
Steve Russell, Timothy P. Hart, Mike Levin
First appeared
1960; 66 years ago (1960)
Paradigm
Multi-paradigm: functional, procedural, reflective, meta
Typing discipline
Dynamic, strong

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

History

Major dialects

Language innovations

Syntax and semantics

Examples

Object systems

Operating systems

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Lisp (programming language)

Nodes256
Edges255
Triples39
Avg. degree1.99
Density0.007813
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Lisp (programming language)

Top relations

Designed by · 1
Lisp (programming language) → John McCarthy
Developer · 1
Lisp (programming language) → Steve Russell, Timothy P. Hart, Mike Levin
First appeared · 1
Lisp (programming language) → 1960; 66 years ago (1960)
Paradigm · 1
Lisp (programming language) → Multi-paradigm: functional, procedural, reflective, meta
Typing discipline · 1
Lisp (programming language) → Dynamic, strong

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

lisp common list scheme language code functions lists data languages programming function expressions system new used many systems expression also

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Lisp (programming language)Designed byJohn McCarthy1.00infobox
Lisp (programming language)DeveloperSteve Russell, Timothy P. Hart, Mike Levin1.00infobox
Lisp (programming language)First appeared1960; 66 years ago (1960)1.00infobox
Lisp (programming language)ParadigmMulti-paradigm: functional, procedural, reflective, meta1.00infobox
Lisp (programming language)Typing disciplineDynamic, strong1.00infobox
ZetaLispinstance ofmostly successors to Maclisp0.80text
NILinstance ofmostly successors to Maclisp0.80text
Paul Grahaminstance ofand includes development of new portable libraries and applications.Many new Lisp programmers were inspired by writers0.80text
Eric Sinstance ofand includes development of new portable libraries and applications.Many new Lisp programmers were inspired by writers0.80text
lexical scopinginstance ofCommon Lisp also borrowed certain features from Scheme0.80text
lexical closuresinstance ofCommon Lisp also borrowed certain features from Scheme0.80text
the LLVMinstance ofCommon Lisp implementations are available for targeting different platforms0.80text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.