@nalimilan has just tagged the DataFrames.jl package release v0.15.0. It contains many major changes, in particular a significant improvement of split-apply-combine family of functions - both in terms of speed and usability. You can read the full list of enchancements with examples here Julia snip…

I have a small announcement. DataFrames Tutorial is for some time in sync with DataFrames.jl 0.19 release. But I have just added in the 04_loadsave.ipynb notebook examples of integration with JSONTables.jl. @quinnj has done a fantastic job with JSONTables.jl and with the release 0.1.2 of this packa…

FWIW, I think it would really be worth adding a Project + Manifest to that repo. Then there is no problem getting the exact versions that were used when running the notebooks.

Good point - I will add this (I started doing these tutorials before Project.toml was an option).

If you have a few minutes to spare, @bkamins , could you cast your expert eye over the wiki books chapter to see if I’ve made any howlers? It dates back a long way (2015) but I’m sentimental and don’t want to just delete the whole section and point to your (much better) material. (Besides, I’d have t…

Hi All, After almost half a year from 0.19 release we made it to 0.20. It is really a big release (79 PRs merged since 0.19). Firstly, I would like to thank all that contributed to it. A chief person to mention is @nalimilan who constantly has been curating the package. The number of contributors …

Thank you to @bkamins , @quinnj , @nalimilan and other contributors for the continued updates. Over the last few months, updates to DataFrames, CSV and 1.2->1.3 have led to about an 80% speed increase in my data-intensive code, with gains spread fairly evenly across different types of IO operations, …

Whoa… eye-popping improvement! I compared pandas and DataFrames/CSV just now. For 1GB csv file reading, pandas took 13 seconds while DataFrames/CSV took only 1.8 seconds. Thank contributors very much. You are the geniuses.

Whe have DataFrames.jl release 0.21. This is a very big release with 102 PRs merged. Thanks to all who worked on it (the issues and the PRs). Due to a large number of contributors I list here only the people who opened a merged PR since 0.20 release: anandijain, DilumAluthge, jlumpe, jonas-schulze, …

This probably will brake my code, but I’m glad things are moving towards 1.0, as far as I know. Thanks everyone for the hard work you put into DataFrames.

I tried to add deprecations wherever possible. But for example names now returns Strings which is a hard breakage. Still - we now allow strings for column indexing so hopefully in most cases it should “just work”.

Release announcements for DataFrames.jl

Specific Domains Data

Topic		Replies	Views
DataFrames.jl development survey Data question , dataframes	52	3358	September 27, 2020
Frustrated using DataFrames New to Julia dataframes , data_structures	97	11545	April 22, 2022
[ANN-RFC] DFMacros.jl Package Announcements dataframes	30	2198	June 19, 2021
DataFramesMeta.jl and the state of the DataFrames ecosystem Data	36	4285	April 24, 2020
The state of DataFrames.jl H2O benchmark Package Announcements dataframes	53	9800	January 1, 2025

Release announcements for DataFrames.jl

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