A couple of weeks ago, I started to work with Emacs, and I grow fonder of it every day. During a very short time period, it has become my go-to editor for nearly everything I do on my computer, including (but not limited to)
planning my Todos (in org-mode, to be precise), setting up my agenda (org-mode again), taking memos during meetings writing my (longer) e-mails play around with new stuff write blog posts (this is the first of these.
In a previous post I have shown you how to setup an AWS instance running the newest RStudio, R, Python, Julia and so forth, where the configuration of the instance can be freely chosen. However, there is quite a lot of possibilities of instance configurations out there: There are different instance classes (General Purpose, Compute Optimized, RAM Optimized, … ) and different instance sizes within these classes. For General Purpose, or t2, there are, e.
Hello world!
My name is Sebastian Schweer, and I am a Data Scientist. This job description is increasingly popular, but it is notoriously difficult to describe precisely, what that entails. Let me show you one of my favourite definitions:
Source.
My job requires me to spend a lot of time each day writing code in varying languages, mostly R but also Python and SAS. This inevitably leads me to spend a lot of time thinking about both code as well as the process of programming itself.
Assume you want to start to write R code (a very good decision, in my opinion) and you want to be able to write and test code whereever you are. Wouldn’t it be awesome if one could set up an environment that can be used for R coding independent of any device? Where all you need is a decent browser, a working internet connection and you’re good to go?
Obviously, that is the case.
