leepro

var countries_data = {"type":"FeatureCollection","features":[
{"type":"Feature","geometry":{"type":"MultiPolygon","coordinates":[[[[74.92,37.24],[74.57,37.03],[72.56,36.82],[71.24,36.13],[71.65,35.42],[71.08,34.06],[69.91,34.04],[70.33,33.33],[69.51,33.03],[69.33,31.94],[66.72,31.21],[66.26,29.85],[62.48,29.41],[60.87,29.86],[61.85,31.02],[60.84,31.5],[60.58,33.07],[60.94,33.52],[60.51,34.14],[61.28,35.61],[62.72,35.25],[63.12,35.86],[64.5,36.28],[64.8,37.12],[66.54,37.37],[67.78,37.19],[69.32,37.12],[70.97,38.47],[71.59,37.9],[71.68,36.68],[73.31,37.46],[74.92,37.24]]]]},"properties":{"name":"Afghanistan"},"id":"AF"},
{"type":"Feature","geometry":{"type":"MultiPolygon","coordinates":[[[[19.44,41.02],[19.37,41.85],[19.65,42.62],[20.07,42.56],[20.59,41.88],[20.82,40.91],[20.98,40.86],[20.01,39.69],[19.29,40.42],[19.44,41.02]]]]},"properties":{"name":"Albania"},"id":"AL"},
{"type":"Feature","geometry":{"type":"MultiPolygon","coordinates":[[[[2.96,36.8],[8.62,36.94],[8.18,36.52],[8.25,34.64],[7.49,33.89],[9.06,3

leepro

from area53 import route53
from boto.route53.exception import DNSServerError
import requests
import sys
from datetime import datetime

# Modified from https://markcaudill.me/blog/2012/07/dynamic-route53-dns-updating-with-python/

domain = 'domain.tld'
subdomain = 'subdomain_name'

leepro

from PIL import Image
from PIL.ExifTags import TAGS, GPSTAGS

def get_exif_data(image):
    """Returns a dictionary from the exif data of an PIL Image item. Also converts the GPS Tags"""
    exif_data = {}
    info = image._getexif()
    if info:
        for tag, value in info.items():
            decoded = TAGS.get(tag, tag)

leepro

# Public Domain, i.e. feel free to copy/paste
# Considered a hack in Python 2

import inspect

def caller_name(skip=2):
    """Get a name of a caller in the format module.class.method
    
       `skip` specifies how many levels of stack to skip while getting caller
       name. skip=1 means "who calls me", skip=2 "who calls my caller" etc.

leepro

// Set Sort Comparator Class in the Driver code

job.setSortComparatorClass(SortFloatComparator.class);

// Write a Sort Comparator and save as "SortFloatComparator.java"

import java.io.*;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.WritableComparable;
import org.apache.hadoop.io.WritableComparator;

leepro

"""
This example requires the body-streaming tornado fork at https://github.com/nephics/tornado.
Refer to http://groups.google.com/group/python-tornado/browse_thread/thread/791c67cb86c2dea2.

Supports uploading an unlimited number/size of files in a single
PUT multipart/form-data request. Each file is processed as the stream
finds the part in the form data.

==USAGE==

leepro

/**
 * Implementation example of writable response bodies.
 * Based on the draft of the Streams API (19 March 2014)
 *   https://dvcs.w3.org/hg/streams-api/raw-file/tip/Overview.htm
 * Design document for response body reading/writing:
 *   https://docs.google.com/document/d/1iE6M-YSmPtMOsec7pR-ILWveQie8JQQXTm15JKEcUT8
 */
/* globals chrome, ByteStream, URL, XMLHttpRequest */
'use strict';

leepro

; Sample supervisor config file.

[unix_http_server]
file=/tmp/supervisor.sock   ; (the path to the socket file)
;chmod=0700                 ; sockef file mode (default 0700)
;chown=nobody:nogroup       ; socket file uid:gid owner
;username=user              ; (default is no username (open server))
;password=123               ; (default is no password (open server))

;[inet_http_server]         ; inet (TCP) server disabled by default

leepro

from IPython.core.display import Image as image
from PIL import Image

def save_and_display(arr, fname):
    pilimg = Image.fromarray(arr)
    pilimg.save(fname)
    return image(filename=fname, width=600)

leepro

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console