‘There are only two hard things in Computer Science: cache invalidation and naming things.’ The above quip by Phil Karlton is fairly well known and often quoted, sometimes with amusing extensions: There are two hard things in computer science: cache invalidation, naming things, and off-by-one errors. — Jeff Atwood (@codinghorror) August 31, 2014 There are only 2 hard things in computer science: 0. Cache invalidation 1. Naming things [Read More]
Data Science Podcasts
Make the most of your commute!
Podcasts are awesome. Especially when you’re stuck in traffic on the way to work. Below are some podcasts I listen to that relate to data science and statistics. Each of them has something slightly different to offer, so if this is an area of interest to you then I recommend you give these a try! Not So Standard Deviations Roger Peng and Hilary Parker talk about the latest in data science and data analysis in academia and industry. [Read More]
R track on exercism.io
The devil is in the details!
As I’ve said before, when it comes to programming I’m a firm believer in the “learn by doing” approach. exercism.io is a project which exemplifies this. I came across exercism.io earlier this year while exploring GitHub looking for an open source project to contribute to. The premise is fairly simple: pick a language that you’d like to learn or improve on fetch an exercise via the Command Line Interface (CLI) code up and submit a solution for the exercise return to the site to get feedback on your solution and/or to compare it to the solutions others have come up with The problems are very simple to begin with, (usually starting out with the traditional “Hello, World! [Read More]
satRday Cape Town
SA's first R conference
Almost a full month has passed since satRday Cape Town. Time races on (as always) bringing plenty of challenges and opportunities with each new day, but part of me wants to go back and re-live the experience, just to have some more time to take it all in again. It’s an event which I hope will remain firmly ensconced in my memory for many years to come. I met many amazing individuals and made a whole lot of new friends. [Read More]
Welcome to R-bloggers!
Tal Galili, empowering bloggers to empower other R users
Hooray! I am now part of the R-bloggers community! R-bloggers is a blog aggregator for content created by the Rstats community. It was founded by Tal Galili towards the end of 2009, in order to help connect R bloggers with R users (and each other). I came across R-bloggers relatively soon after it got going and have benefitted so greatly from it over the years. It has been quite something to see how it has grown and flourished in this time. [Read More]
Learn R, in R.
swirl is a software package for the R programming language that turns the R console into an interactive learning environment. Users receive immediate feedback as they are guided through self-paced lessons in data science and R programming. I think I first came across swirl in mid-2014, while working through the early stages of the Data Science Specialization on Coursera, put together by Johns Hopkins University professors Roger Peng, Brian Caffo and Jeff Leek. [Read More]
satRday in Cape Town
A celebration of R
In just two months time, the second satRday will be taking place right on my doorstep, in Cape Town, South Africa. I keep telling people I am looking forward to it, but to be honest that’s really quite an understatement. I am super excited! satRdays are SQLSaturday-inspired, community-led, one-day, regional and affordable conferences around the world to support collaboration, networking and innovation within the R community. If you don’t know what satRdays are about, here is the back story… [Read More]