| description "uWSGI server for electris CMS" | |
| start on runlevel [2345] # start on all runlevels. | |
| stop on runlevel [!2345] # stop when shutting down. | |
| respawn # respawn if job crashes or is stopped ungracefully. | |
| env DEPLOYMENT_TARGET=production # set any environment variables you like here. | |
| env DJANGO_SETTINGS_FILE=conf/settings.py # more environment variables if you like. | |
| env PYTHONPATH=/home/ubuntu/apps/my_app:/home/ubuntu/.virtualenv/my_app |
| from django.contrib.gis.gdal import DataSource | |
| from django.contrib.gis.gdal.geometries import Point | |
| # Get the DC voting districts shape (from the Census Bureau) | |
| ds = DataSource('/path/to/my/shapefiles/tl_2012_11_vtd10/tl_2012_11_vtd10.shp') | |
| # Grab the layer that contains all of the shape data | |
| layer = ds[0] | |
| def get_shape_contains(layer, geometry): | |
| # Iterate over every shape |
| # Okay, so, let's start by setting up a backend. | |
| # Varnish needs to know where to send requests | |
| # that fail to find an object in the cache. | |
| # We'll send requests back to Nginx on port 8001. | |
| backend default { | |
| .host = "127.0.0.1"; | |
| .port = "8001"; | |
| } | |
| # Varnish has some subfunctions (subroutines?) that start |
| # Oh, wow. So those other configuration files | |
| # looked pretty readable. This one, though, | |
| # looks OOOOOLLLD. It is old. And so it's | |
| # less readable. But let's talk about it. | |
| # Run on startup? Yes. | |
| START=yes | |
| # Set the number of files this daemon can | |
| # touch. We need los of them because each |
This list of resources is all about acquring and processing aerial imagery. It's generally broken up in three ways: how to go about this in Photoshop/GIMP, using command-line tools, or in GIS software, depending what's most comfortable to you. Often these tools can be used in conjunction with each other.
(this writeup supplements a computational journalism assignment)
Jeremy Singer-Vine has been working on a new PDF-to-text/spreadsheet library native to Python: pdfplumber
The California WARN Act PDFs can be found at: