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
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:
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: |
I can be contacted via email mcburton (at) umich.edu or twitter @mcburton
13 Questions for DH Bloggers:
-
When did you start your blog (career wise: as a grad student, undergrad, etc)?
-
Why did you decide to start blogging?
-
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?
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): |
------------ BEGIN WORKFLOW ------------ | |
{ | |
"actions" : [ | |
{ | |
"class" : "WorkflowActionStoreVariable", | |
"pauseBeforeRunning" : false, | |
"customTitle" : "Set Bibliography Filename", | |
"parameters" : { | |
"name" : "Bibliography Filename", | |
"value" : { |
------------ BEGIN WORKFLOW ------------ | |
{ | |
"actions" : [ | |
{ | |
"class" : "WorkflowActionCustom", | |
"pauseBeforeRunning" : false, | |
"customTitle" : "citekey-insert", | |
"parameters" : { | |
"8735E7DC-D0F4-4DB1-AAB7-4F9A72AC141D" : { | |
"tokenRanges" : { |
------------ BEGIN WORKFLOW ------------ | |
{ | |
"actions" : [ | |
{ | |
"class" : "WorkflowActionGetFileName", | |
"pauseBeforeRunning" : false, | |
"customTitle" : "", | |
"parameters" : { | |
"includeExtension" : true, | |
"includeFolder" : false |
"Us" being scholars presenting at the 2013 annual meeting of the Society for the Social Studies of Science. The map being a representation of the number of folks at the conference by country. The darker the red, the more people from institutions in that country will be showing up in lovely San Diego in October (presumably).
The United States of America has a strong showing, Antartica does not.
The data for this visualization was collected by:
- scraping the conference website
- obtaining location instutition by querying the Google Maps API with the self-reported instition information