<b>DataFrames.jl</b>: Flexible and Fast Tabular Data in <i>Julia</i>
Milan Bouchet-Valat, Bogumi Kamiński
Abstract
DataFrames.jl is a package written for and in the Julia language offering flexible and efficient handling of tabular data sets in memory. Thanks to Julia's unique strengths, it provides an appealing set of features: Rich support for standard data processing tasks and excellent flexibility and efficiency for more advanced and non-standard operations. We present the fundamental design of the package and how it compares with implementations of data frames in other languages, its main features, performance, and possible extensions. We conclude with a practical illustration of typical data processing operations.
Topics & Concepts
Computer scienceFlexibility (engineering)ImplementationSet (abstract data type)Julia setProgramming languageData setParallel computingArtificial intelligenceMathematicsStatisticsCombinatoricsAdvanced Data Storage TechnologiesParallel Computing and Optimization TechniquesCloud Computing and Resource Management