A Safe Space for Learning How to Make Pull Requests

As October rolls around once more, the term Hacktoberfest might pop across your feeds; an effort aiming to encourage people to contribute to open-source software, particularly if they’re new to that. In this post I’ll describe what I’m offering towards that goal.

[Read More]
rstats 

In-Place Modifications

In this post I explore some differences between R, python, julia, and APL in terms of mutability, and try to make something that probably shouldn’t exist.

[Read More]

Side by Side Comparison - Gleam vs R

I thoroughly dislike ‘hot takes’ comparing programming languages based solely on a “feel” or differential familiarity (“I know this one better therefore it is better) so when I came across a blog post detailing a small learning project written in Gleam I wanted to understand what advantages and disadvantages that language brings to the problem. This post details a side-by-side comparison after rewriting the project in R with a goal of better understanding the approach on both sides.

[Read More]

IPv4 Components in APL

At a recent APL-focussed Meetup someone posed a challenge to slice up the components of an IPv4 address with an APL language and it prompted me to learn a bit more about how that works in general and how I could do the processing in APL myself.

[Read More]
APL  rstats 

Tidy DataFrames but not Tibbles

A while ago (2019 seems so long ago now) I started working on something I thought was interesting but which never really got any traction. It has potential once more, so it’s about time I wrote up what it does and why I think it’s a useful idea. I’m going to talk about using the {dplyr} package on some data with rows and columns, but we’re not talking about data.frames or tibbles…

[Read More]

{charcuterie} - What if Strings Were Iterable in R?

I’ve been using a lot of programming languages recently and they all have their quirks, differentiating features, and unique qualities, but one thing most of them have is that they handle strings as a collection of characters. R doesn’t, it has a “character” type which is 0 or more characters, and that’s what we call a “string”, but what if it did have iterable strings?

[Read More]
rstats 

Let's Talk About the Weather

First, we'll need data!

A while ago I made some plots I really liked, but I never made a blog post about them. Then the data source stopped working and I couldn’t make them again. Now there’s a new data source, so it’s time for a post about some weather data!

[Read More]
rstats 

Constructing HTML with Functional Functions

I heard that learning Elm is a good way to approach learning Haskell, so I gave it a go and was surprised early on about an approach to writing abstracted HTML. In this post I compare the way that R and Elm generate HTML and the differences between their approaches.

[Read More]

Digits Dilemma

Another day, another short riddle to be solved with several programming languages! This one is nice because solving it doesn’t need a lot of code, but it uses some interesting aspects of evaluation.

[Read More]

Iterative Square Root

I saw a toot celebrating a short, clean implementation of a square root finding algorithm and wanted to dig a bit deeper into how it works, with a diversion into some APL.

[Read More]
rstats  APL  go