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The Julia Language: A fresh approach to technical computing. - JuliaLang/julia

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During this workshop I will explain the design of indexing of the DataFrame type provided by the DataFrames.jl package. Next a detailed discussion of the implementation challenges we faced will be given.

Making a DataFrame consistent with all indexing functionalities provided by Base Julia (getindex, setindex!, view, broadcast and broadcast!) is a challenge as it can contain heterogeneous columns that can dynamically change their element type and be added/removed/resized.

The first part of the workshop is aimed at a general audience and explains the DataFrame indexing rules. The second part explains how to implement indexing for a custom type in the Julia language.

The workshop materials will be made available at https://github.com/bkamins/JuliaCon2020-DataFrames-Tutorial.