Rdatatable/data.table
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R's data.table package extends data.frame:
16 mentions on Hacker News by 12 people: 1 story, 15 comments · first 2014-11-24 · latest 2024-03-15
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…package may also make a huge difference in performance, and often simplifies the code as well https://github.com/Rdatatable/data.table
comment by karencarits · 2023-12-21 · in Discovering copy-on-write in R -
data.table is basically a highly optimized C library https://github.com/Rdatatable/data.table
comment by nojito · 2021-03-14 · in I wrote one of the fastest DataFrame libraries -
Almost always faster, actually. https://github.com/Rdatatable/data.table/wiki/Benchmarks-:-G...
comment by creddit · 2019-06-21 · in Another Book on Data Science – Learn R and Python in Parallel -
Have you seen the R package data.table ( https://github.com/rdatatable/data.table )? Not sure whether data.table is in the same domain as xsv, and certainly a lot of it is written in C. But for comparison's sake: fread("cities.csv") 1.30 s…
comment by hugh-avherald · 2018-09-09 · in XSV: A fast CSV command-line toolkit written in Rust -
…usually implemented with something else under the hood. Take the data.table library, for example: https://github.com/Rdatatable/data.table It's wicked fast for many kinds of tasks, but its R API is just a thin layer on top of C.
comment by michaelsbradley · 2018-02-07 · in Python’s Weak Performance Matters -
…Arrow can perform, and hopefully we'll see solid bindings to R as well. The data.table package ( https://github.com/Rdatatable/data.table/wiki ) does make progress on some of these - I'd say #1, #3, maybe #7, #8. Dplyr has a query planner…
comment by huac · 2017-09-26 · in Apache Arrow and the “Things I Hate About Pandas” -
…underrated teaching tools. The R package "data.table" does a good job at this. Just scroll through https://github.com/Rdatatable/data.table/blob/master/R/data.... and search for "warning(".
comment by nerdponx · 2017-07-20 · in Writing code with multiple overlapping side effects with a straight face -
…in less than a few years. I think this is the trend given it's faster than basically everything: https://github.com/Rdatatable/data.table/wiki/Benchmarks-%3A...
comment by mikeskim · 2016-07-23 · in Boost Your Data Munging with R -
…faster). It's possible to use dplyr and data.table together, as well, to good effect[2]. [1] https://github.com/Rdatatable/data.table/wiki [&] https://github.com/Rdatatable/data.table/wiki/Benchmarks-%3A... [2]…
comment by michaelsbradley · 2016-06-18 · in Data Analysis with Vector Functional Programming [video] -
data.table and dplyr take data frames up a notch! https://github.com/Rdatatable/data.table/wiki/Getting-starte... https://cran.rstudio.com/web/packages/dplyr/vignettes/introd... xts is quite useful as well, when you need to do…
comment by michaelsbradley · 2016-06-09 · in R Passes SAS in Scholarly Use -
…a detailed benchmark (only on grouping so far) on 10 million (in MB) to 2 billion rows (100GB): https://github.com/Rdatatable/data.table/wiki/Benchmarks-%3A...
comment by arun_sriniv · 2014-12-30 · in Dataframes – Julia, R, Python -
Here's a benchmark Matt recently did comparing data.table, dplyr and pandas on 50GB and 100GB: https://github.com/Rdatatable/data.table/wiki/Benchmarks-%3A...
comment by arun_sriniv · 2014-12-05 · in The R language, for programmers -
…the philosophy behind data.table's `i, j, by`. Should make things lot easier for beginners - https://github.com/Rdatatable/data.table/issues/944 data.table is not just fast, but is also more memory efficient - we want to highlight in the…
comment by arun_sriniv · 2014-12-05 · in The R language, for programmers -
I'd start here: https://github.com/Rdatatable/data.table/wiki/Benchmarks-:-G... Performance isn't currently a huge focus for dplyr. In my opinion dplyr is fast enough that the bottleneck becomes mostly cognitive - you spend more time…
comment by hadley · 2014-11-24 · in Rvest: Easy web scraping with R