Markdown vs. R vs. Clojure

All documentation and blog posts are written in Markdown

We use Markdown primarily for documentation and other forms of writing.

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.

Users can format their contributions with Markdown. Great way to post tutorials with code.

Authoring of content

News articles consumed in markdown and injected into React components using Showdown with an XSS filter.

Define the project pages.

By now, almost all my text content is created in (some dialect of) markdown. It's easy to process and extend in javascript.

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.

For when you need to write.

Project documentation.

Documentation and tutorials about the app

Markdown is how I format all my posts. Uses the "smart" and "footnotes" options.

Update with Parsedown

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.

We use this internally, but there is also Markdown CMS plugn-in for Agile Toolkit.

We use NimbusKit/markdown as a convenience wrapper around NSAttributedString

저는 markdown 덕후입니다

Almost everywhere except Python documentation.

wiki notes, internal how-to guides, technical docs, change-logs, release notes

All specifications

Writing README.md's is very important to us. Also a lot of our content is maintained in Markdown (using contentful.com). We are also cool with org-mode.

We use Markdown to write posts for our blog, and also document our processes.

Huge fan of markdown

Mainly for github Readme files, and occasionally for other documentation as desired.

간략한 문법을 통해 깔끔한 문서가 나오는것에 매료되어있습니다.

Write Blog Post @ Github Pages, Documentation like API Blueprint

Use it on a daily basis to create beautifully formatted documents / pdfs.

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.)

Code documentation.

Markdown is awesome and becoming more well-known. It is also easier than using some proprietary markup language.

Yes, we have a README

Standard for editing readme markdown files.

For notes and documentation

For READMEs in code respository

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)

Fast and easy to build complex pipelines, the main component of this project.

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 are deeply invested in Clojure - all the power of Java with the simplicity of functional programming.

We use Clojure in several places, most often as a wrapper around other libraries and frameworks (e.g. Hibernate, HAPI, etc.) Our HL7 parsing workflow is heavily based on Clojure with files that look almost like configuration, but actually offer tremendous power and flexibility.

The server-side components are 100% Clojure, and the client UI and server communication logic is written in ClojureScript

The site, while running on the JVM is actually implemented in Clojure

Clojure is our main language for building out both the web service that powers the user interface of Lumanu and the web crawling that provides all of our data.

Our main machine learning service is written in Clojure.

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.

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.

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.