Python
- Lead developer of cbayes.
- Contributor and researcher on BET.
- Extensive experience generating technical notebooks with varying levels of interactivity.
- On-the-bleeding edge of following JupyterHub, JupyterLab, and many more Jupyter projects.
- Deep interest in reproducible open science and removing all friction towards such an end.
Matlab
- First language, used for countless projects. I have since moved away from it in favor of open-source alternatives.
Git
- Familiarity with basic repository management.
- Frequent user of Github, comfortable with Bitbucket, and Gitlab.
- I use git to track changes to nearly all the work I do.
LaTeX
- Preferred document-generation language (pdfs).
- Basic familiarity with publishing formatting for large documents.
- Extensive experience writing technical reports.
Terminal (Bash/Shell)
- Almost everything I do with respect to programming happens in a bash shell.
- Much of my work is done remotely through ssh.
Vim
- My preferred text-editor and distraction-free organizational tool.
Adobe Suite
- Experienced in Photoshop for general graphic design (posters, figures).
- Somewhat familiar with Illustrator, InDesign.
Microsoft Suite
- Comfortable in Excel, though I prefer not to use it for anything related to analyzing data. I mostly use it for data entry.
- Comfortable with Microsoft Word, but prefer to use LaTeX for its type-setting flexibility.
CLangs
- I have coded in C++ in the past, but these days mostly use it when programming Arduinos
- Look, give me a piece of code in any C language, and I’ll likely be able to tell you what it does, but I don’t program in it (anymore). For scientific computing, Python is just more preferable overall.
- Given some time, I can bind C libraries to Python wrappers if need be.
- I can manipulate an existing codebase, but writing one from scratch is a poor use of my time and skillsets at this point (I would rather collaborate with someone more proficient in the language).
R
- I have used it a lot over the years but these days prefer Python for anything that I would have once done in R.
Wolfram
- I use WolframAlpha (free) a bit, but I resist learning it because I cannot afford their licenses.
- I wish nothing more than for them to open their code base. I fear that if they do not, their innovative notebooks will soon be associated primarily with Jupyter.
Internet Things
- I can manipulate HTML but cannot really write anything for the web from scratch.
- Pretty clueless with CSS but can guess-and-check my way around when necessary… Same thing for Javascript. I can usually debug a site using the browser Inspector/Console.
- Familiar with web app architecture (mostly at a high level), including containerization, cloud infrastructure, and various deployment options for different use-cases.
Java
- Can read it, have used programs written in it, but have not read source code in a long time.
... And that about summarizes my experience with programming languages.