Printers never work because they are an affront to God. Man was not meant to pull objects from the digital realm into the real world. Icarus is flying too close to the sun.
For the last couple of months I've been working on something and I'm excited to finally share an early preview:
Say hello to plumber2 🎉 https://t.co/btmNFCrmIr
plumber2 is a full rewrite of the plumber package for creating powerful webapis in #rstats.
You can already use the GPU Engine in Polars with a lot of the LazyFrame API. Here's an example where I make a query using a bunch of different types of method including filter, group_by, missing value handling and unpivoting
#RStats
I'm so, so thrilled to finally share the release of Rlinguo, a mobile app that runs R 📱
This is a fully, native mobile app that uses #webR in the backend to run R functions.
Available on the App Store (iPhone) & Play Store (Android)
https://t.co/AF5a4J291x
#RStats I'm so happy to finally share what we've been experimenting on at @thinkR_fr for the past couple of weeks — A native mobile app that can run R code through #webR
Read more at 👉 https://t.co/oYk4Z74tpJ
Want columnstore tables in Postgres? Guest author @pranav_aurora announces the new pg_mooncake extension which is powered by @duckdb. https://t.co/zKGI5j9yDF
The free Kindle version of the fourth edition of my book Linear Algebra Done Right is now available at https://t.co/TwoHBIxr2a.
The free pdf version of the book is available at https://t.co/fAxuAOpdHg. The free translation into Chinese is also available as a pdf file at https://t.co/fAxuAOpdHg.
#linearalgebra
Some news: I've just open-sourced the draft of a book I'm working on about how #rstats tidymodels users can make their code run faster without sacrificing predictive performance!
https://t.co/jizXn03Nf6
ApacheArrow nanoarrow 0.6.0 is released! This project is one of my favourite things to work on - it's a C library with C++, R, and Python bindings that make it easier than ever before to import and export tabular data using @ApacheArrow 🧵 ⬇️
Postgres analytics 10x faster with just an extension?!
Check out our first release of pg_duckdb, an open-source PostgreSQL extension by @hydradatabase & MotherDuck.
It's already packed with awesome features! 👀
https://t.co/gm952RU9ka
We just released pg_parquet!
Parquet (in S3) has become a universal data storage and exchange format. We felt it was time for PostgreSQL to support Parquet.
pg_parquet extends the COPY TO/FROM commands in Postgres to import/export Parquet files in S3 or local disk, with roles to control read/write access, released under the PostgreSQL license!
It is written in Rust using pgrx and basically supports all PostgreSQL types, including composite types, arrays, and PostGIS geometry (stored as WKB).
With pg_parquet, you can for example archive old time partitions into S3, import public and private data sets, move data between PostgreSQL servers without direct connectivity, or prepare your data for analytics.