The FAQ maintained by Github covers most stumbling blocks, some other tips and tricks supplied here.
Add _site
to .gitignore
. The generated site should not be uploaded to Github since its gets generated by github.
import time | |
import urllib2 | |
import json | |
from cartodb import CartoDBAPIKey, CartoDBException | |
from secret import API_KEY | |
URL = 'http://services.redbullstratos.com/LiveData/Get' | |
cl = CartoDBAPIKey(API_KEY, 'javi') |
//Furthest distance travelled from start point. // http://javi.cartodb.com/api/v2/sql?q= | |
WITH points AS | |
(SELECT | |
(SELECT (the_geom) FROM stratos ORDER BY id ASC LIMIT 1) as p1, | |
(SELECT (the_geom) FROM stratos | |
WHERE ST_x(the_geom)<180 AND ST_x(the_geom)>-180 AND ST_x(the_geom)<>0 | |
AND ST_x(the_geom)<>0 ORDER BY ST_Distance(the_geom,(SELECT the_geom | |
FROM stratos ORDER BY id ASC LIMIT 1)) DESC LIMIT 1) as p2 | |
) | |
SELECT ST_distance(p1::geography,p2::geography) as furthest_distance FROM points |
Predictive Modeling: Drug Response in Cancer Cell Lines | |
======================================================= | |
This is a demo of **Knitr**, an R package for authoring executable documents, documents that mix formatted text, source code and graphical output. I've used In Sock's demos of drug response in [CCLE][1] data, but I've probably gotten most of the analysis mixed up. Apologies to In Sock. | |
Analysis of cancer cell lines for drug sensitity using: | |
* [Cancer Cell Line Encyclopedia][1] | |
* [Gene Set Enrichment Analysis][2] | |
Workflow |
function main() { | |
var map = L.map('map').setView([0, 0], 3); | |
L.tileLayer('http://a.tile.stamen.com/toner/{z}/{x}/{y}.png', { | |
attribution: 'stamen' | |
}).addTo(map); | |
cartodb.loadLayer(map, { | |
user: 'development', |
// Set the CartoDB user account | |
var CartoDB = Backbone.CartoDB({ | |
user: viz2 | |
}); | |
// Create a model, here directly from SQL | |
// You can also do it with simply a table name and list of columns | |
var parksModel = CartoDB.CartoDBCollection.extend({ | |
sql: "SELECT name FROM nyc_parks ORDER BY ST_Area(the_geom) DESC LIMIT 10" | |
}); |
<?php | |
/** | |
* | |
* SEO report for different metrics | |
* | |
* @category SEO | |
* @author Chema <[email protected]> | |
* @copyright (c) 2009-2012 Open Classifieds Team | |
* @license GPL v3 | |
* Based on seo report script http://www.phpeasycode.com && PHP class SEOstats |
using System; | |
using PlainElastic.Net; | |
using PlainElastic.Net.Queries; | |
using PlainElastic.Net.Serialization; | |
using PlainElastic.Net.Utils; | |
namespace FacetQuerySample | |
{ | |
class Item |
var geojson = L.geoJson(data, { | |
// style for all vector layers (color, opacity, etc.), either function or object (optional) | |
style: function (feature) { | |
return feature.properties && feature.properties.style; | |
}, | |
// function for creating layers for GeoJSON point features (optional) | |
pointToLayer: function (feature, latlng) { | |
return L.marker(latlng, { |
The FAQ maintained by Github covers most stumbling blocks, some other tips and tricks supplied here.
Add _site
to .gitignore
. The generated site should not be uploaded to Github since its gets generated by github.
# Applies Q.nbind to all redis operations and returns a wrapped client | |
_ = require("underscore")._ | |
Q = require "q" | |
nbindOps = (client) -> | |
functions = _.functions client | |
# All the ops are available as upper/lowercase functions, I exploit this | |
# to filter out the Redis operations from the other functions of the client | |
# |