CoffeeScript vs. R vs. Common Lisp

Javascript is a hell. We use coffeescript for its readability.

All front-end / back-end is driven by Coffeescript. For the main ReactJS functionality JSX is embedded with coffee in .cjsx files / handled by Browserify.

I use a lot to coding JS.

All our code is CoffeeScript, blending seemlessly in our JS stack

This is my language-of-choice for coding.

All frontend code written in coffeescript

See NodeJS once again.

CoffeeScript is good to write some utilities at front-end.

All of our Javascript code is first written in CoffeeScript for ease of reading / writing. It is compiled to Javascript before being minified and served to the client.

We like CoffeeScript because it's more readable, we use it because we have a lot of libraries and functions already (plays nicely with Rails, too)

We prefer typescript.

Offline deep analytics and modeling

Connect to database, data analytics, draw diagram. Machine Learning application, and also used Spark-R for big data processing.

What are my other choices for a vectorized statistics language. Professor was pushing SAS Jump (or was that SPSS) with a menu-driven point and click approach. (Reproducibility can still be accomplished, you publish the script generated by all your clicks.) But I want to type everything, great online tutorials for R. I think I made the right pick.

R is primarily used by SESYNC's researchers

Visualisation of air quality in various rooms by RShiny (hosted free on shinyapps.io)