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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.…
The analysis highlights History, Art and Science as prominent areas in the source structure around IDL (programming language).
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
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.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
idl language programming data array rsi used also solutions first syntax space stern provides information fawlty fortran envi example use
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.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| IDL (programming language) | Designed by | David Stern | 1.00 | infobox |
| IDL (programming language) | Developer | David Stern & ITT Visual Information Solutions (ITT VIS) | 1.00 | infobox |
| IDL (programming language) | First appeared | 1977 | 1.00 | infobox |
| IDL (programming language) | Paradigm | vector-oriented programming | 1.00 | infobox |
| IDL (programming language) | Stable release | IDL 9.3 / August, 2026 | 1.00 | infobox |
| IDL (programming language) | Typing discipline | Dynamic | 1.00 | infobox |
| IDL (programming language) | Website | https://www.nv5geospatialsoftware.com/Products/IDL | 1.00 | infobox |
| character strings | instance of | as well as single and double precision floating point real and complex numbers.provides composite data types | 0.80 | text |
| homogeneous-type arrays | instance of | as well as single and double precision floating point real and complex numbers.provides composite data types | 0.80 | text |
| lists | instance of | as well as single and double precision floating point real and complex numbers.provides composite data types | 0.80 | text |
| hash tables | instance of | as well as single and double precision floating point real and complex numbers.provides composite data types | 0.80 | text |
| and simple | instance of | as well as single and double precision floating point real and complex numbers.provides composite data types | 0.80 | text |
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.
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.
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