Luke Turner

Welcome to my homepage. I'm a software developer who enjoys full-stack Web development, high availability clusters, and languages that transpile to Javascript, like: Clojurescript, Nim.

One might ask, why bother to have a static homepage in the era of LinkedIn, Facebook, Medium, and Twitter? For me, homepages are a reminder of what the Web was first meant to be. A blank slate for expressing yourself. An emphasis on content over form. A network of links that let you dig deeper into interesting topics. Pages emphasizing ideas, individualism, creations, and projects — not firehose news feeds or auto-tagged vacation photos. It also doesn't hurt that this page is simple HTML, that can be viewed and downloaded anywhere. This site looks great on Lynx. Facebook... not so much.

I graduated Gonzaga University in 2013 (at the tender age of 20) with honors and a B.S. in Math and Computer Science.

I'm currently employed at Redox, working on a unified platform for health data. I do DevOps projects, front-end development, and everything in between.

If you want to read more, you can check out my blog, or visit my profile on Github.

Side Projects

Terminal-based dashboard for AWS servers. Designed for rapid access to important information. Can integrate with New Relic Servers for inline metrics. Built with Blessed and Clojurescript,
Lightweight (<100 kb) yet feature-rich Sudoku game for desktop and mobile. Includes puzzle solving, configurable puzzle generation, and quick notes. Built using starter-kit (see below).
Scaffold for getting up and running quickly with client-side Javascript development. Includes build tooling with webpack, and scaffolded Flux-inspired webapp wiring written in Literate CoffeeScript.
Tiny, multithreaded, rule-based mirroring script (for bulk downloads or hypermedia traversal). Contained in a single .py file.
A psychomotor vigilance testing application. Runs fully client-side using in-browser data stores. Built with Angular 1.3.

IPython Notebooks

n-gram tutorialsource
Tutorial on writing an n-gram model in Python.