Cloure is a high level language that provides access to both the JVM (for server-side development) and javascript (for client-side development) with largely the same language. This is important to limit context switching and enable code-reuse during fast product cycles. Clojure is ideal for rapid prototyping and has a strong focus on stability, correctness, and concurrency. Tools like Schema and Spec enable well-structured development and high code confidence.

To complement Java. The REPL lets me interactively exercise Java code. I can write performant and safe libraries in Java, and then use them in Clojure. I also find the data-centric aspect of Clojure (excellent build-in structures, literal syntax for easily creating those structures, functions that act well on abstractions of those structures) good for data processing.

This fits a sweet spot between Ruby and Java.

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.

We use Clojure mostly for its "Minority Report"-like interactive development in situations that require 'semi-automatic programming' (data inspection, admin tasks, API exploration, scrapers, etc.). We have also used Clojure successfully to build some components of our stack very quickly and reliably, in the backend and the frontend.

We’re using Markdown parsers for Reviews, Blog Posts, and Stack Description (the text you’re reading right now). We’re using Bootstrap Markdown for content input (except for reviews) and RedCarpet for rendering in certain places.

Markdown represents a highly portable and lightweight text formatting. I had converted all of my Wordpress posts to Markdown prior to migrating over to Jekyll and eventually to Hugo. The fact that many generators support Markdown means that my content remains portable regardless of the platform/engine I use.

just started learning clojure, maybe around two weeks or so. i'm addicted. this is what i want to be working with and learning for the foreseeable future. the elegance of the language is refreshing. the community is really amazing. i've finally found a language that fits my passion for programming.

Clojure simplifies and reduces the coding efforts involved in creating CloudRepo. The fact that it runs in the JVM gives us access to all the libraries that we could ever need. Our code base is much smaller and easier to reason about than it would have been had we gone with pure Java.

What you see is not what you get, never it is.

Documentation is better in Markdown format. You don’t need anything special to read it.

It is compact, portable, comparable.

Markdown is my text file format of choice.

Because it is almost an effortless markup language without ever having to write an HTML tag. Of course, you'll want to use it in environments that make it look pretty (GitHub, etc.)

Using StackEdit to edit markdown files for blog roll and about sections. MD files are stored in Google Drive and pushed to GH pages through StackEdit.

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

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

R is primarily used by SESYNC's researchers

Offline deep analytics and modeling