terrycojones

#
# c - bash directory changing functions that maintain a
#     most-recently used stack.
#
# Run with -help as an argument to see invocation options, or find the
# d_usage function below.
#
# To use these functions, store this in a file someplace and
# then execute
#

simplegeo-context-neighborhoods-by-city.py

>>> import simplegeo
>>> from itertools import ifilter
>>> client = simplegeo.context.Client('your-key','your-secret')

>>> location = client.get_context_by_address("41 Decatur St, San Francisco, CA")

# Find the bounding box of your current city
>>> sf = next(ifilter(lambda feature: feature['classifiers'][0]['category'] == 'Administrative', location['features']), None)

>>> hoods = client.get_features_from_bbox(sf['bounds'], features__category='Neighborhood')

mynameisfiber

#!/usr/bin/env python2.7
#
# This is a quick kmaxhash implemintation to test out the usefulness of this
# datastructure for calculating jaccard metrics.  It is quick because I wrote
# it quickly :)
# micha gorelick, [email protected]
#

import mmh3
import heapq

mynameisfiber

[
    {
        "name": "Lower East Side",
        "center": [
            -73.9836180698,
            40.7155233255
        ]
    },
    {
        "name": "Marble Hill",

mikepqr

Pycon 2017

https://www.youtube.com/channel/UCrJhliKNQ8g0qoE_zvL8eVg/feed

Talks 👍

• Miguel Grinberg Asynchronous Python for the Complete Beginner PyCon 2017 - extremely clear conceptual introduction to concurrency (great central metaphor)