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PREFIX skos: <http://www.w3.org/2004/02/skos/core#>
PREFIX dct: <http://purl.org/dc/terms/>
PREFIX foaf: <http://xmlns.com/foaf/0.1/>
PREFIX gac: <http://data.kasabi.com/dataset/government-art-collection/schema/>

SELECT ?work ?name ?image ?page WHERE {

  ?subject skos:prefLabel "Flemish School".
  
  ?work dct:subject ?subject;

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csvFile = csv.reader(open('thing.csv', 'rU'), delimiter=',')

header = next(csvFile)
for row in csvFile:
	devStatus = row[4]
	address = row[14]
	commercial = row[12]
	comment = row[20]
	industry = row[10]
	

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csvFile = csv.reader(open('survey.csv', 'rb'), delimiter=',')

header = next(csvFile)
for row in csvFile:
	devStatus = row[4]
	address = row[14]
	commercial = row[12]
 	# note = row[20]
	industry = row[10]
	if row[20]:

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# assign variable to a csv file read by csv.reader
csvFile = csv.reader(open('/Users/Zach/Desktop/survey.csv', 'rb'), delimiter=',')

# identify header row
header = next(csvFile)

# loop rows in csv file, and identify variables for fields
for row in csvFile:
	if row[20] < 0:
		continue

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PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX def: <http://data.kasabi.com/dataset/european-election-results/def/>
PREFIX cube: <http://purl.org/linked-data/cube#dataset>

Select ?label
WHERE {
  ?subject rdfs:label ?label ;
    ?p <http://data.kasabi.com/dataset/european-election-results/2009/political_groups/seats_won> .
}

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@prefix dcterm: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix ns1: <http://linkedrecipes.org/schema/> .

<http://data.kasabi.com/dataset/foodista/recipe/3QWJPYHF> a <http://linkedrecipes.org/schema/Recipe>;
    ns1:ingredient <http://data.kasabi.com/dataset/foodista/food/DSVFF8DN>,
        <http://data.kasabi.com/dataset/foodista/food/FBPQ4456>,
        <http://data.kasabi.com/dataset/foodista/food/HSBJL3L8>,
        <http://data.kasabi.com/dataset/foodista/food/JGYY7HZX>,
        <http://data.kasabi.com/dataset/foodista/food/N5VJMXRC>,

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Sample SPARQL query to find Crab Recipes in Kasabi's [food](http://kasabi.com/dataset/food) dataset.

PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX recipe: <http://linkedrecipes.org/schema/> 
SELECT ?label ?recipe WHERE {
 <http://data.kasabi.com/dataset/food/foods/crab> recipe:ingredient_of ?recipe .
 ?recipe a recipe:Recipe .
 ?recipe rdfs:label ?label .

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#! /usr/bin/python

import sys
import csv
import re

csv.writer(open('out.csv', 'wb'),).writerows(row for row in csv.reader(open('in.csv', 'rb')) if len(row) >= 6 and "gmail" in row[5])

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16. header = next(csvFile)


line 16, in <module>
    header = next(csvFile)
_csv.Error: new-line character seen in unquoted field - do you need to open the file in universal-newline mode?

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Dive Into Python (Mark Pilgrim)
- Highlight on Page 11 | Loc. 218-19  | Added on Monday, June 13, 2011, 09:54 PM

You KNOW HOW OTHER books go on and on about programming fundamentals,  and finally work up to building a complete, working program? Let's skip all that.

==========
Dive Into Python (Mark Pilgrim)
- Note on Page 11 | Loc. 219  | Added on Monday, June 13, 2011, 09:54 PM

Often love this approach to learning, but appreciate context too.