atecon's blog

A page on applied data science and economics.

Recommended packages for the Sublime editor

Introduction One and a half years ago I switched to the Sublime editor as my favourite code editor (or IDE). For Python I used to use mainly IntelliJ but always thought that it feels too sluggish, slow and consumes rather massive memory. Also, I don’t like its default key bindings (I know, everything can be set up here, too. But still…) Furthermore, as I am a heavy gretl user, I came across Sublime as it’s relatively easy to write your own package for adding syntax support for a new language.

Analyzing football data using gretl

Introduction Recently I stumbled over Julius Krumbiegel’s nice little data analysis exercise entitled “Analyzing international football results with Julia”. As the title already says, he’s using Julia for this task. The dataset used is cool, and I thought that this may be a nice little exercise to show how to replicate Julius' results using my favourite data tool named gretl – an open-source statistics and econometrics cross-platform software. You can find my repository hosting the script, data and output of this exercise here.