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Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free software released under the three-clause BSD license. The name is derived from the term "panel data", an…
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Explore the main themes, entities and connections around Pandas (software). 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.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Pandas (software) | Developer | Community | 1.00 | infobox |
| Pandas (software) | License | New BSD License | 1.00 | infobox |
| Pandas (software) | Operating system | Cross-platform | 1.00 | infobox |
| Pandas (software) | Original author | Wes McKinney | 1.00 | infobox |
| Pandas (software) | Preview release | 2.0rc1 / 15 March 2023; 3 years ago (2023-03-15) | 1.00 | infobox |
| Pandas (software) | Release | 11 January 2008; 18 years ago (2008-01-11)[citation needed] | 1.00 | infobox |
| Pandas (software) | Repository | github.com/pandas-dev/pandas | 1.00 | infobox |
| Pandas (software) | Stable release | 3.0.5 / 22 July 2026; 33 days ago (22 July 2026) | 1.00 | infobox |
| Pandas (software) | Type | Technical computing | 1.00 | infobox |
| Pandas (software) | Website | pandas.pydata.org | 1.00 | infobox |
| Pandas (software) | Written in | Python, Cython, C | 1.00 | infobox |
| comma-separated values | instance of | Data for these collections can be imported from various file formats | 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.