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TDataFrame is a simple and yet powerful way to perform ROOT data analyses.\nIt provides great flexibility in the actions that can be performed inside the event-loop, while letting users express them in a concise declarative syntax that fully encourages usage of modern C++. Transparent access to multi-thread parallelism makes TDataFrame a viable option for quick data explorations, as well as an expressive and high-level tool for more complex analyses. v1.0 comes with a satisfying first set of features, a user guide, Doxygen docs for the user interface and many ideas for future enhancements. A comprehensive suite of tests augmented by static analysis scans guarantees the robustness and stability of the software.
ROOT, data analysis, declarative programming, C++
ROOT, data analysis, declarative programming, C++
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 135 | |
| downloads | 1 |

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Downloads provided by UsageCounts