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[{"start_time":1397201400,"end_time":1397206800,"title":"Breakfast"},{"start_time":1397206800,"end_time":1397208600,"title":"Opening Statements: Diana Clarke"},{"start_time":1397208600,"end_time":1397211000,"title":"Keynote: John Perry Barlow"},{"start_time":1397211000,"end_time":1397213400,"title":"Break"},{"description":"Why are Python programmers crazy about lists and dictionaries, when\r\nother languages tout bitmaps, linked lists, and B+\u00c2\u00a0trees? Are we missing\r\nout? Come learn how data structures are implemented on bare metal, how\r\nto select the right data structure, how the list and dictionary cover a\r\nwide swath of use cases, and when to dip into the Standard Library or a\r\nthird-party package for an alternative.","title":"All Your Ducks In A Row: Data Structures in the Standard Library and Beyond","track":1,"start_time":1397213400,"speaker":"Brandon Rhodes","end_time":1397215800,"link":"https:\/\/us.pycon.org\/\/2014\/schedule\/presentation\/211\/"},{"description":"Many developers, in

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import numpy as np
import multiprocessing
import ctypes
import mmap

data_normal = np.zeros((4, 10), dtype=np.uint8)

# This shows the important piece in this whole mystery has been the MAP_SHARED
# memory flag.  Normally, memory that is compied when the process os.fork()'s
# is set to copy-on-write which essentially makes each fork has it's own

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from functools import total_ordering

@total_ordering
class SuperNone(object):
    # general properties / methods
    def __getattr__(self, *args, **kwargs):
        return self
    def __call__(self, *args, **kwargs):
        return self
    def __setattr__(self, *args, **kwargs):

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# Why does this work
def split_chars(words, chars):
    itr = (words,)
    for c in chars:
        itr = tuple(chunk for word in itr for chunk in word.split(c))
    return list(itr)

# but this not work
def split_chars_broken(words, chars):
    itr = (words,)

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

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$ # Fails on port 80
$ curl -i -N -H "Connection: Upgrade" -H "Upgrade: websocket" -H "Host: XXX.fastforwardlabs.com" -H "Origin: http://XXX.fastforwardlabs.com" http://XXX.fastforwardlabs.com/XXXX
HTTP/1.1 400 Bad Request
Server: nginx/1.4.6 (Ubuntu)
Date: Mon, 20 Oct 2014 23:22:48 GMT
Content-Type: text/html; charset=UTF-8
Content-Length: 34

Can "Upgrade" only to "WebSocket".

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#!/usr/bin/env python2.7
"""
>>> import multigram_search

>>> mgs = multigram_search.MultigramSearch([("a", "b", "c"), ("o", "c", "z"),
    ('z','y')])

>>> list(mgs.intersection("hello world you a b c foo".split(" ")))
[['a', 'b', 'c']]

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#include <stdio.h>
#include <functional>

double any_op(double, double, std::function<double(double,double)>);

int main()
{ 
  std::function<double(double,double)> add = [](double a, double b) -> double { return a+b; };
  std::function<double(double,double)> sub = [](double a, double b) -> double { return a-b; };

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In [21]: a = np.zeros( (20) )

In [22]: b = np.asarray( [2, 5, 7, 15] )

In [23]: a
Out[23]: 
array([ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,
        0.,  0.,  0.,  0.,  0.,  0.,  0.])

In [24]: a[b] = 1

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$ # First we set the correct python path and compilation flags
$ export vi_cv_path_python_plibs="-L/bitly/local/lib/python2.7/config/ -lpython2.7 -lpthread -lutil -Xlinker -export-dynamic"

$ # Configure will all the options we love the most
$ ./configure --with-features=huge --enable-pythoninterp --with-python-config-dir=/bitly/local/lib/python2.7/config/

$ # Make & install
$ make -j & sudo make install