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PureData (zkráceně též PD) je grafický programovací jazyk, který vytvořil Miller Puckette a který je dále vyvíjen komunitou jako open source a je k dispozici k bezplatnému stažení. Jde o jazyk pracující s tokem dat v reálném čase. Tento jazyk se používá především pro generování a zpracování zvuku, případně videa nebo obrazu, zvládne ale i naprosto jiné…
The analysis highlights Kurzy a Workshopy, Základní principy and Max/MSP as prominent areas in the source structure around Pure Data.
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 Pure Data shows recurring relationship patterns in the source. For example, Pure Data → Alešem Zemenem, Obrázky, Patch, PD, PDNávod, PDOficiální, Rychloúvod, Wikimedia CommonsOficiální Another extracted example is Pure Data → Jen, Můžete, Ukázkový. 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.
jazyk puredata pd lze info patch max msp data programovací programování vytvořil videa rozhraní datové položky kurzy systém arduino textové
TTTA extracted 18 structured relationships around Pure Data. Examples in this analysis include Pure Data → Aktuální verze → 0.56-5 (17. června 2026) and Pure Data → Licence → LGPL or GPL license. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Pure Data | Aktuální verze | 0.56-5 (17. června 2026) | 1.00 | infobox |
| Pure Data | Licence | LGPL or GPL license | 1.00 | infobox |
| Pure Data | Operační systém | multiplatformní | 1.00 | infobox |
| Pure Data | Typ softwaru | programovací jazyk | 1.00 | infobox |
| Pure Data | Vyvíjeno v | C | 1.00 | infobox |
| Pure Data | Vývojář | puredata.info | 1.00 | infobox |
| Pure Data | Web | puredata.info | 1.00 | infobox |
| Pure Data | related to Další screenshoty | Ukázkový | 0.60 | section |
| Pure Data | related to Další screenshoty | Můžete | 0.60 | section |
| Pure Data | related to Další screenshoty | Jen | 0.60 | section |
| Pure Data | related to Externí odkazy | Obrázky | 0.60 | section |
| Pure Data | related to Externí odkazy | Wikimedia CommonsOficiální | 0.60 | section |
The concept neighborhoods around Pure Data bring nearby vocabulary together. In this analysis, examples include Info, Jazyce and Pure. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Pure Data, one of the stronger structural bridges in this analysis connects Pure Data with Overview. 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 Pure Data to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Kurzy a Workshopy, Základní principy & Max/MSP, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Pure Data · CS edition · Analysis: TopicsToTalkAbout