- formal administrative requirements
- how these play out
- purpose and structure
- of a thesis
- of an MRE
- know the culture of your department!
- DH can but doesn't have to mess with structure
- Strategies
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extensions [import-a fetch] | |
;;; SETUP PROCEDURE | |
to setup | |
clear-all | |
let thing (fetch:url (word "https://raw.githubusercontent.com/SantaFeInstitute/ABMA/master/ch1/ch1_map.png")) | |
import-a:pcolors thing | |
create-turtles 20 ; create 20 agents | |
[ ; with the following state variables: | |
set color random 140 ; color |
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# demo for sharing a script | |
# in scripts, a hashtag (pound sign) = a comment (in markdown, it means a header) | |
# we create a variable called y, and give it a _string_ of text; in this case, the direct URL to a csv file | |
y <- "https://raw.githubusercontent.com/shawngraham/exercise/gh-pages/CND.csv" | |
# now we use the read.csv command to read the file address stored in 'y'; the results go into a dataframe called 'documents2' | |
documents2 <- read.csv(y) |
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library(rvest) | |
library(dplyr) | |
library(xml2) | |
library(stringr) | |
library(purrr) | |
base_url <- "https://curve.carleton.ca" | |
theses = data.frame() |
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Artifact | Position_X | Position_Y | chip name | |
---|---|---|---|---|
242 | 1110.973076 | 480.0500947 | /Users/shawngraham/Documents/chips2/object1/0000000001.png | |
252 | 772.6520572 | 434.331038 | /Users/shawngraham/Documents/chips2/object2/0000000001.png | |
1231 | 626.3510759 | 672.0701326 | /Users/shawngraham/Documents/chips2/object3/0000000001.png | |
35 | 2059.369176 | 1630.107527 | /Users/shawngraham/Documents/chips2/object4/0000000001.png | |
35 | 594.3477363 | 1275.56168 | /Users/shawngraham/Documents/chips2/object4/0000000002.png |
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<xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform"> | |
<xsl:output method="text"/> | |
<xsl:template match="/"> | |
<xsl:for-each select="article/front"> | |
"<xsl:value-of select="article-meta/contrib-group/contrib/string-name/surname" />, <xsl:value-of select="article-meta/contrib-group/contrib/string-name/given-names" />" <xsl:text>	</xsl:text><xsl:value-of select="article-meta/pub-date/year" /> <xsl:text>	</xsl:text> "<xsl:value-of select="article-meta/title-group/article-title" />" <xsl:text>	"</xsl:text><xsl:value-of select="journal-meta/journal-title-group/journal-title"/>"<xsl:text>	</xsl:text> "<xsl:value-of select="article-meta/volume" />(<xsl:value-of select="article-meta/issue" />)" <xsl:text>	</xsl:text> "<xsl:value-of select="article-meta/page-range" />" <xsl:text>	</xsl:text>"<xsl:value-of select="article-meta/article-id" />" <xsl:text>	</xsl:text><xsl:value-of select="article-meta/self-uri" /><xsl:text>
</xsl:text> | |
</xsl:for-each> | |
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doc | entity | entityType | count | |
---|---|---|---|---|
104184105 | ABERDEEN | organization | 1 | |
104184105 | Navy | organization | 1 | |
104184105 | Sceptre | organization | 1 | |
104184105 | 1 | person | 1 | |
104184105 | Brodie | person | 2 | |
104184105 | Cromar | person | 2 | |
104184105 | Earl | person | 1 | |
104184105 | Fife | person | 3 | |
104184105 | Glen | person | 1 |
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#!/usr/bin/python | |
## Split audio files into chunks | |
## Daniel Pett 1/5/2020 | |
__author__ = 'portableant' | |
## Tested on Python 2.7.13 | |
import argparse | |
import os | |
import speech_recognition as sr |