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.mw-parser-output .monospaced{font-family:monospace,monospace}glob() (/ɡlɒb/) is a POSIX C function for globbing, which is the archetypal use of pattern matching against the names in a filesystem directory such that a name pattern is expanded into a list of names matching that pattern. Although globbing may now refer to glob()-style pattern matching of…
Syntax, Other implementations & Origin
Explore the main themes, entities and connections around Glob (programming). Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. 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.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
glob unix globbing character pattern matches shell characters brackets also syntax matching posix function string match command among patterns used
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| busybox | instance of | and its derivatives and reimplementations | 0.80 | text |
| toybox | instance of | and its derivatives and reimplementations | 0.80 | text |
| GNU bash | instance of | and its derivatives and reimplementations | 0.80 | text |
| Debian dash | instance of | and its derivatives and reimplementations | 0.80 | text |
| the shell | instance of | used by programs | 0.80 | text |
| Rant | instance of | Several libraries | 0.80 | text |
| Rake provide aFileListclass which has a glob method or use the methodFileList | instance of | Several libraries | 0.80 | text |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.