Research any topic before you write.

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

IDL (programming language): History, Art & Science

IDL, short for Interactive Data Language, is a programming language used for data analysis. It is popular in particular areas of science, such as astronomy, atmospheric physics and medical imaging.[citation needed] IDL shares a common syntax with PV-Wave and originated from the same codebase, though the languages have subsequently diverged in detail.…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

IDL (programming language) topic overview

The analysis highlights History, Art and Science as prominent areas in the source structure around IDL (programming language).

Related topics
65
Source areas
4
Connected nodes
69
Extracted relationships
12
Concept neighborhoods
26
Bridge connections
69

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

History · 33 topics
Overview · 19 topics
Features · 11 topics
Problems · 2 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

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

Designed by
David Stern
Developer
David Stern & ITT Visual Information Solutions (ITT VIS)
First appeared
1977
Paradigm
vector-oriented programming
Stable release
IDL 9.3 / August, 2026
Typing discipline
Dynamic

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History

Features

Problems

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.

How IDL (programming language) connects Entity context

The extracted context around IDL (programming language) shows recurring relationship patterns in the source. For example, IDL (programming language) → David Stern Another extracted example is IDL (programming language) → David Stern & ITT Visual Information Solutions (ITT VIS). Use these groups to spot repeated connection types before inspecting the individual relationships.

IDL (programming language)

Top relations

Designed by · 1
IDL (programming language) → David Stern
Developer · 1
IDL (programming language) → David Stern & ITT Visual Information Solutions (ITT VIS)
First appeared · 1
IDL (programming language) → 1977
Paradigm · 1
IDL (programming language) → vector-oriented programming
Stable release · 1
IDL (programming language) → IDL 9.3 / August, 2026
Typing discipline · 1
IDL (programming language) → Dynamic
Website · 1
IDL (programming language) → https://www.nv5geospatialsoftware.com/Products/IDL

Important terminology

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

Important terminology

idl language programming data array rsi used also solutions first syntax space stern provides information fawlty fortran envi example use

IDL (programming language) relationships Subject–Predicate–Object triples

TTTA extracted 12 structured relationships around IDL (programming language). Examples in this analysis include IDL (programming language) → Designed by → David Stern and IDL (programming language) → Developer → David Stern & ITT Visual Information Solutions (ITT VIS). The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
IDL (programming language)Designed byDavid Stern1.00infobox
IDL (programming language)DeveloperDavid Stern & ITT Visual Information Solutions (ITT VIS)1.00infobox
IDL (programming language)First appeared19771.00infobox
IDL (programming language)Paradigmvector-oriented programming1.00infobox
IDL (programming language)Stable releaseIDL 9.3 / August, 20261.00infobox
IDL (programming language)Typing disciplineDynamic1.00infobox
IDL (programming language)Websitehttps://www.nv5geospatialsoftware.com/Products/IDL1.00infobox
character stringsinstance ofas well as single and double precision floating point real and complex numbers.provides composite data types0.80text
homogeneous-type arraysinstance ofas well as single and double precision floating point real and complex numbers.provides composite data types0.80text
listsinstance ofas well as single and double precision floating point real and complex numbers.provides composite data types0.80text
hash tablesinstance ofas well as single and double precision floating point real and complex numbers.provides composite data types0.80text
and simpleinstance ofas well as single and double precision floating point real and complex numbers.provides composite data types0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around IDL (programming language) bring nearby vocabulary together. In this analysis, examples include Programming, Gnu and Fawlty. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • IDL (programming language)
    • Programming
    • Gnu
    • Fawlty
    • First
    • Space
    • Used
    • Language
    • Array
    • Use
    • Analysis
    • Using
    • Version
  • idl (programming language)
    • Programming
    • Fawlty
    • Array
    • Gnu
    • Single
    • Large
    • Syntax
    • Using
    • First
    • Space
    • Used
    • Language
  • programming language
    • Programming
    • Fawlty
    • Array
    • Gnu
    • Single
    • Large
    • Syntax
    • Using
    • Reference
    • Variables
    • First
    • Used
  • data analysis
    • Language
    • Gnu
    • Interactive
    • Envi
    • Fawlty
    • Programming
    • Reference
    • Used
    • Analysis
    • Data
    • Large
    • Also
  • gnu data language
    • Language
    • Fawlty
    • Gnu
    • Interactive
    • Programming
    • Reference
    • Release
    • Used
    • Analysis
    • Array
    • Large
    • Single
  • event-driven programming
    • Array
    • Gnu
    • Fawlty
    • Large
    • Using
    • Syntax
    • First
    • Used
    • Provides
    • Reference
    • Release
    • Variables
  • object-oriented programming
    • Array
    • Gnu
    • Fawlty
    • Large
    • Using
    • Syntax
    • First
    • Used
    • Provides
    • Reference
    • Release
    • Variables
  • itt visual information solutions
    • Information
    • Visual
    • Itt
    • Solutions
    • Release
    • Rsi
    • Gnu
    • Interactive
    • Fawlty
    • Large
    • Using
    • Also

Connections between topic areas Semantic bridges

For IDL (programming language), one of the stronger structural bridges in this analysis connects IDL (programming language) with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
IDL (programming language)History · splits 36 ⟂ 34
IDL (programming language)Overview · splits 50 ⟂ 20
IDL (programming language)Features · splits 58 ⟂ 12
IDL (programming language)Problems · splits 67 ⟂ 3

Map overview Semantic statistics

IDL (programming language)

Nodes70
Edges69
Triples12
Avg. degree1.97
Density0.028571
Components1

Source & methodology

TTTA analyzes the structure around IDL (programming language) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — IDL (programming language) · EN edition · Analysis: TopicsToTalkAbout

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