Continuing my theme of learning all the languages, I took the opportunity of a programming puzzle to try out the same approach in a handful of different languages to compare how they work.
[Read More]Monads in R
In this post I describe a useful programming pattern that I implemented, and hopefully provide a gentle introduction to the idea of monads.
[Read More]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]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]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.frame
s or
tibble
s…
{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]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]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.
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