Tidier.jl (@tidierjl) 's Twitter Profile
Tidier.jl

@tidierjl

Tidier.jl is a data analysis package inspired by R's tidyverse and crafted specifically for Julia.

ID: 1780797041687539712

linkhttps://tidierorg.github.io/Tidier.jl/dev/ calendar_today18-04-2024 03:15:20

214 Tweet

335 Followers

141 Following

eval parse (@evalparse) 's Twitter Profile Photo

Traits is coming to Julia?! We need it to implement things like arrays. Give people certainty as to what methods are needed for a particular type. Being a multiple-dispatch language makes traits harder to design well but I think it's doable. Go Julia! #julialang

Traits is coming to Julia?!

We need it to implement things like arrays. Give people certainty as to what methods are needed for a particular type. 

Being a multiple-dispatch language makes traits harder to design well but I think it's doable.

Go Julia!

#julialang
Tidier.jl (@tidierjl) 's Twitter Profile Photo

Have you ever used the {rio} #rstats package? Inspired by this, we have added a universal read_file() and write_file() function to TidierFiles that infers the filetype and calls the appropriate backend, bringing a consistent interface to tabular data. tidierorg.github.io/TidierFiles.jl…

Have you ever used the {rio} #rstats package?

Inspired by this, we have added a universal read_file() and write_file() function to TidierFiles that infers the filetype and calls the appropriate backend, bringing a consistent interface to tabular data.

tidierorg.github.io/TidierFiles.jl…
Tidier.jl (@tidierjl) 's Twitter Profile Photo

Did you know that TidierDB now takes advantage of #JuliaLang package extensions? This means that TidierDB is a much lighter dependency bc for all ancillary (non-DuckDB) database backends, you can opt into the underlying packages but it’s not required. github.com/TidierOrg/Tidi…

Did you know that TidierDB now takes advantage of #JuliaLang package extensions?

This means that TidierDB is a much lighter dependency bc for all ancillary (non-<a href="/duckdb/">DuckDB</a>) database backends, you can opt into the underlying packages but it’s not required.

github.com/TidierOrg/Tidi…
JuliaHub (@juliahub_inc) 's Twitter Profile Photo

Explore the latest advancements in the Julia language, package ecosystem, and community! Watch the State of Julia 2024 video now! youtu.be/sXhRWCV38iQ?si… #JuliaLang #StateOfJulia #Juliacon #programming

Tidier.jl (@tidierjl) 's Twitter Profile Photo

TidierData 0.16.2 includes bug fixes and updates. - slice_min() and slice_max() respect `n` - head() is a new wrapper for slice_head - separate() now supports `extra` and unite() supports `remove` arg We launched our first page comparing syntax to DF.jl: tidierorg.github.io/TidierData.jl/…

Tidier.jl (@tidierjl) 's Twitter Profile Photo

What’s new with Tidier.jl? discourse.julialang.org/t/ann-belatedl… Lots is new with: - TidierIteration - TidierData - TidierDB - TidierFiles - TidierCats 🧹🚀

İlker Arslan (@ilkerarslan_35) 's Twitter Profile Photo

Julia NovaML package has been updated to v0.3.0! And now it has a documentation page to get started NovaML: ilkerarslan.github.io/NovaML.jl/stab… All contributions from Julia community are more than welcome. #JuliaLang #JuliaProgramming #MachineLearning #DataScience #NovaML

Tidier.jl (@tidierjl) 's Twitter Profile Photo

Check out Part 1 of the origin story for TidierPlots for #JuliaLang, when it was initially conceived as a macro-based package wrapping AlgebraOfGraphics. Fast-forward to today — almost all the macros are gone and the package directly wraps Makie.jl. randy.pub/posts/tidierpl…

Check out Part 1 of the origin story for TidierPlots for #JuliaLang, when it was initially conceived as a macro-based package wrapping AlgebraOfGraphics.

Fast-forward to today — almost all the macros are gone and the package directly wraps Makie.jl.

randy.pub/posts/tidierpl…
Karandeep Singh (@kdpsinghlab) 's Twitter Profile Photo

Just saw the summer update to the DuckDB/h2o data benchmarks. 3 takeaways: 1. DuckDB reigns supreme—most other libraries should wrap it. 2. pandas is far behind despite switch to arrow engine in v2 3. Most are 2-language solutions except #JuliaLang duckdblabs.github.io/db-benchmark/

Just saw the summer update to the DuckDB/h2o data benchmarks.

3 takeaways:

1. DuckDB reigns supreme—most other libraries should wrap it.
2. pandas is far behind despite switch to arrow engine in v2
3. Most are 2-language solutions except #JuliaLang

duckdblabs.github.io/db-benchmark/