Explore interoperability between R and other programming languages in this 43-minute conference talk from GOTO Copenhagen 2016. Learn why developers might want to mix languages, how to optimize R, and understand some R quirks. Discover interfaces with C packages, SQL Server 2016, Haskell, and Emacs org-mode. Dive into multi-language environments like Jupyter notebooks, Beaker notebooks, and R Markdown. Gain insights on leveraging R's statistical libraries within larger projects while developing in other languages. Perfect for developers seeking to integrate R's capabilities into their existing tech stack.
Interoperability between R and Other Languages
Overview
Syllabus
Intro
Why mix languages
How to optimize R
A few R quirks
C package interface
Simple Rcpp example
SQL Server 2016
Haskell
Emacs org-mode
org-babel languages
Structure of an org-mode file goto
Language interop
Jupyter notebooks
Some languages with Jupyter kernels
Beaker example
Languages supported in Beaker notebooks
R Markdown example
Languages supported in R Markdown
Summary
Contact
Taught by
GOTO Conferences
