Personal experience: Cognitively effortful, interesting to work with. I've programmed a TM that finds the n-th prime. Turing Machines are necessary to understand some arguments in Paul Cohen's *Set theory and the continuum hypothesis*. More recently, [here](https://www.scottaaronson.com/blog/?p=2725) is a Turing Machine which halts iff ZFC is inconsistent.
Personal experience: One of the first programming languages I learnt, and thus my documentation was in Spanish. I've used it to crunch numbers when a speedup mattered. I've also abused it to program a database application, to analyze a lexical corpus, to solve riddles. This has led me to appreciate higher level languages more, and to understand them better. For example:
for (let i = 0; i <Math.floor(array.length/2);i++){
let old = array[i];
array[i] = array[array.length - 1 - i];
array[array.length - 1 - i] = old;
}
return array;
}
```
This function reverses an array, and changes it. However, the scope of the array which the function manipulates is local, and yet the original array is changed. This is because, although JavaScript doesn't work with pointers, it is working with pointers, and the local copy of the pointer is pointing to the same place.
Having had to deal with memory allocation, working in a language which just deals with it is orgasmic.
Personal experience: I view this language with a lot of affection, and I like it a lot; I have found analyzing datasets to be very cognitively stimulating. The ggplot2 library is amazing. The time required to create a new program is basically 0, in RStudio, because you don't really compile the whole program at once, but instruction by instruction / line by line. Would recommend. Ultimately, when working with huge datasets, what one does is to load a library which has functions written in C.
Personal experience: Learnt for the novelty, and I appreciate the aesthetic appeal. I then programmed a newpaper scrapper, which is I found hillarious because of the bad fit between the task and the language.
Personal experience: I learnt PHP to program the above webpage. Ultimately, however, I could have just used JavaScript, because I don't really needed a database / everything could have been computed on the user's side. Demistifyies some webpages.
Representative project: This [utility](https://observablehq.com/@nunosempere/foretold-notebook-into-csv), which takes a [foretold](https://www.foretold.io/) notebook, queries some data and converts it into a csv; [this npm package](https://www.npmjs.com/package/@lokiodinevich/sparkwave0xff1493).
Personal experience: When I first wrote this, reading Chapter 5 of *Eloquent JavaScript*, [Higher order functions](https://en.wikipedia.org/wiki/Higher-order_function) had just clicked for me. In hindsight, I had already used ```lapply``` in R, and functions which modify other functions are pretty natural in Haskell, but I had the Eureka moment. Later, I used JavaScript to implement approval voting for the Center for Eletion Science, and for some contributions to foretold.io, a forecasting platform. I later built a small app to help me write poetry in Spanish using node and electron, as well as a glorified diary program.
- Ruby: [Sparkwave](https://www.sparkwave.tech/) mentioned that they used them, so I checked it out. I really like that the amount of boilerplate needed to open a file is minimal compared to doing the same thing in node. Representative project: [This command line utility](https://github.com/NunoSempere/nunosempere.github.io/blob/master/maths-prog/BDI.rb) to ask the questions in the Becket Depression inventory, and append them to a text file.
- Lisp: I read the [Paul Graham summary](http://www.paulgraham.com/rootsoflisp.html), got the aha! moment about Lisp being an interesting model of computation, fucked around with it for a bit, and then never used it for a practical project.
Unix shell, Matlab (a less worthy R). Honorable mention to JSFuck for its practical uses. Honorable mention to Intercal for the following paragraph, which has stayed with me:
> Until the new INTERCAL compiler with better RYM[6] access comes out, the old compiler has no way of knowing which language you are familiar with and thus it doesn't know what language to produce its output in[7]. INTERCAL elegantly solves this problem by producing its output in Roman numerals, under the assumption that when Rome was at the height of its strength, half the world was under its dominion, so the comprehension of Roman numerals is part of our racial memory.
Update: It has since been pointed out to me that Latex, HTML and MySQL might be Turing complete. This is not the first time that I've encountered an unexpected Turing; the game *Magic The Gathering* also turns out to belong to this category. I feel that this fact contains a deep lesson about the structure of the world, though it escapes me at the moment.
Personal experience: Templates are not evil; they're the difference between [shapleyvalue.com](http://shapleyvalue.com/) and [easyfirma.es](https://easyfirma.es). Easy to pick up. Also easy to clutter.
