TDataFrame: functional chains for ROOT data analyses. TDataFrame is a simple and yet powerful way to perform ROOT data analyses. It 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.

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References in zbMATH (referenced in 1 article )

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  1. Tai Sakuma: AlphaTwirl: A Python library for summarizing event data into multivariate categorical data (2019) arXiv