LeCoupa

#!/bin/bash
#####################################################
# Name: Bash CheatSheet for Mac OSX
# 
# A little overlook of the Bash basics
#
# Usage:
#
# Author: J. Le Coupanec
# Date: 2014/11/04

cengel

import pandas
import rpy2.robjects as robjects
from rpy2.robjects.packages import importr
from rpy2.robjects.lib import grid
from rpy2.robjects.lib import ggplot2

## read in the distances to railroad (we calculated)
neardist = pandas.read_csv('data/NearDistance.csv')

## convert to R dataframe, via Python Dictionary data type

cengel

library(maps)
library(geosphere)
library(plyr) 
library(ggplot2)
library(sp)

airports <- read.csv("http://www.stanford.edu/~cengel/cgi-bin/anthrospace/wp-content/uploads/2012/03/airports.csv", as.is=TRUE, header=TRUE)
flights <- read.csv("http://www.stanford.edu/~cengel/cgi-bin/anthrospace/wp-content/uploads/2012/03/PEK-openflights-export-2012-03-19.csv", as.is=TRUE, header=TRUE)

# aggregate nunber of flights

diegovalle

library(maptools)
library(maps)
library(mapdata)
library(rjson)
library(stringr)
library(RCurl)
library(ggplot2)


GetDirections <- function(from, to) {

ctrochalakis

# Basic text search with relevancy for MongoDB. 
# See http://blog.tty.nl/2010/02/08/simple-ranked-text-search-for-mongodb/
# Copythingie 2010 - Ward Bekker - [email protected]

#create (or empty) a docs collection
doc_col = MongoMapper.connection.db('example_db').collection('docs')
doc_col.remove({})

#add some sample data
doc_col.insert({ "txt" => "it is what it is"})