etes

$startfolder = "c:\data\*"
$folders = get-childitem $startfolder | where{$_.PSiscontainer -eq "True"}
"Directory Name`tDirectory Size (MB)"
foreach ($fol in $Folders){
$colItems = (Get-ChildItem $fol.fullname -recurse | Measure-Object -property length -sum)
$size = "{0:N2}" -f ($colItems.sum / 1MB)
"$($fol.name)`t$size"
}

etes

rows, cols = 10, 10
iceraster = (10*numpy.random.random((rows, cols))).astype(int)*5
iceraster = numpy.where( (iceraster >= 20), 20, iceraster)
outarray = numpy.zeros((rows, cols), numpy.float)
NumberOfDays = 3
#Obsolete pixel-by-pixel version, takes very long
for (i,j), value in numpy.ndenumerate(outarray):
    if iceraster[i,j] == 0:
        outarray[i,j] = outarray[i,j] + (  0.0 / NumberOfDays) 
    elif iceraster[i,j] == 5:

etes

maps.google.com
### get the google maps api key
### install django on ubuntu test server and centOS
### install PostGres and PostGIS 2.0
### install gdal on python 2.7
### get apache or ngnix server
### get openlayers and GeoDjango

etes

#!/bin/bash
#
# Install Postgres 9.1, PostGIS and create PostGIS template on a clean Ubuntu 11.10 Oneiric Ocelot box
# http://wildfish.com

# add the ubuntu gis ppa
sudo apt-get -y install python-software-properties
sudo add-apt-repository ppa:ubuntugis/ubuntugis-unstable 
sudo apt-get update 

etes

library(rgdal)
library(RgoogleMaps)
boreholes<- read.csv("boreholes.csv", sep=",", header=TRUE)
bh_grd <- SpatialPoints(boreholes[,c("East","North")],
                        proj4string=CRS("+proj=utm +zone=32 +datum=WGS84"))
bholes<- SpatialPointsDataFrame(bh_grd,boreholes[,-c(2,3)])
bholes<-bholes[,-c(2,3)]
bh_geo<- spTransform(bholes, CRS("+proj=longlat +datum=WGS84"))

North<-coordinates(bh_geo)[,2]