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1
Intro
2
Why mix languages
3
How to optimize R
4
A few R quirks
5
C package interface
6
Simple Rcpp example
7
SQL Server 2016
8
Haskell
9
Emacs org-mode
10
org-babel languages
11
Structure of an org-mode file goto
12
Language interop
13
Jupyter notebooks
14
Some languages with Jupyter kernels
15
Beaker example
16
Languages supported in Beaker notebooks
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R Markdown example
18
Languages supported in R Markdown
19
Summary
20
Contact
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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

GOTO Conferences
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