DataFrames.jl: Flexible and Fast Tabular Data in Julia
Dublin Core
Title
DataFrames.jl: Flexible and Fast Tabular Data in Julia
Subject
data frame, tabular data, performance, multi-threading, Julia.
Description
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.
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.
Creator
Milan Bouchet-Valat
Source
https://www.jstatsoft.org/article/view/v107i04
Publisher
French Institute for Demographic Studies
Date
September 2023
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Milan Bouchet-Valat, “DataFrames.jl: Flexible and Fast Tabular Data in Julia,” Repository Horizon University Indonesia, accessed May 11, 2025, https://repository.horizon.ac.id/items/show/8307.