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@mcburton
mcburton / Insert-BibTex-Citekey.wkflw
Created February 15, 2014 23:04
An editorial workflow for adding Pandoc formatted citations to your document. Parses a BibTeX file for citekeys.
------------ BEGIN WORKFLOW ------------
{
"actions" : [
{
"class" : "WorkflowActionStoreVariable",
"pauseBeforeRunning" : false,
"customTitle" : "Set Bibliography Filename",
"parameters" : {
"name" : "Bibliography Filename",
"value" : {
@mcburton
mcburton / bottling.py
Last active August 29, 2015 13:56 — forked from anonymous/bottling.py
added rough API sketch and some fooling with templates
from bottle import route, run, template, static_file, error, SimpleTemplate
## this is a test
@route('/')
def home():
return base_template.render(title="hi", content="what?")
@route('/static/<filename>')
def static(filename):
@mcburton
mcburton / questions.md
Last active August 29, 2015 14:08
I am studying blogs as a genre of "informal" scholarly communication. I'd love to hear from DH bloggers about their experiences.

I can be contacted via email mcburton (at) umich.edu or twitter @mcburton

13 Questions for DH Bloggers:

  1. When did you start your blog (career wise: as a grad student, undergrad, etc)?

  2. Why did you decide to start blogging?

  3. How do you host your blog, i.e. Do you use a generic web-host like Dreamhost with Wordpress, do you use a blogging service like Blogger.com?

@mcburton
mcburton / makefile
Created December 10, 2014 23:20
A makefile for making my dissertation into a dissertation
DATE=`date +%d%b%y`
BIBLIOGRAPHY=/Users/mcburton/Dropbox/zotero/library.bib
REFERENCE=reference.docx
num = 1,2,3,4,5,6
CHAPTERLIST := chapter-[$(num)]-*.md
.PHONY: draft
draft:

Keybase proof

I hereby claim:

  • I am mcburton on github.
  • I am mcburton (https://keybase.io/mcburton) on keybase.
  • I have a public key whose fingerprint is BD01 5E7A A68D A72F 1D21 95EE 6660 20F2 EAAB 9E69

To claim this, I am signing this object:

@mcburton
mcburton / jupyter-on-a-supercomputer.md
Last active April 9, 2024 12:03
A short(ish) guide on how to get Jupyter Notebooks up and running on the Bridges supercomputer.

Running Jupyter on a Supercomputer

This quick guide for getting a Jupyter Notebook up and running on Bridges, a supercomputer managed by the Pittsburgh Supercomputing Center. Bridges is a new machine designed to accommodate non-traditional uses of High Performance Computing (HPC) resources like data science and digital humanities. Bridges is available through XSEDE, which is the system that manages access to multiple supercomputing resources. Through XSEDE, Bridges is available researchers or educators at US academic or non-profit research institutions (see the XSEDE eligibility policies) Allocations are free, but there is a somewhat difficult to understand application process filled with jargon and acronyms that take time to understand. See the XSEDE getting started guide for more information about getting acc

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