alexbowe

import nltk

text = """The Buddha, the Godhead, resides quite as comfortably in the circuits of a digital
computer or the gears of a cycle transmission as he does at the top of a mountain
or in the petals of a flower. To think otherwise is to demean the Buddha...which is
to demean oneself."""

# Used when tokenizing words
sentence_re = r'''(?x)      # set flag to allow verbose regexps
      ([A-Z])(\.[A-Z])+\.?  # abbreviations, e.g. U.S.A.

yamakk

--- networkx-1.5/networkx/drawing/nx_pylab.py	2011-06-04 09:45:38.000000000 +0900
+++ nx_pylab.py	2011-10-01 01:48:06.000000000 +0900
@@ -21,7 +21,8 @@
 #    All rights reserved.
 #    BSD license.
 
-__all__ = ['draw',
+__all__ = ['set_fontproperties',
+           'draw',
            'draw_networkx',

imlucas

from cloudsearch import connect_cloudsearch, get_document_service

endpoint = 'paste your doc service endpoint here'

service = get_document_service(endpoint=endpoint)  # Get a new instance of cloudsearch.DocumentServiceConnection

# Presumably get some users from your db of choice.  
users = [
    {
        'id': 1,

emeeks

The range sliders at the top change the values for the force-directed algorithm and the buttons load new graphs and apply various techniques. This will hopefully serve as a tool for teaching network analysis and visualization principles during my Gephi courses and general Networks in the Humanities presentations.

Notice this includes a pretty straightforward way to load CSV node and edge lists as exported from Gephi.

It also includes a pathfinding algorithm built for the standard data structure of force-directed networks in D3. This requires the addition of .id attributes for the nodes, however.

Now with Clustering Coefficients!

Also, it loads images for nodes but the images are not in the gist. The code also refers to different network types but the data files on Gist only refer to the transportation network.

adamalton

<h1>Page 1</h1>
<a href="/myview/?page={{previous_page_number}}">Previous page</a>
<a href="/myview/?page={{next_page_number}}">Next page</a>
{% for object in results %}
    {{object}} {#whatever you're displaying #}
{% endfor %}

shlomibabluki

# coding=UTF-8
from __future__ import division
import re

# This is a naive text summarization algorithm
# Created by Shlomi Babluki
# April, 2013


class SummaryTool(object):

bnlucas

When going to /search/artist/<query_string> using the documents below you get:

	/search/artist/m	- this returns both Macklemore and Against Me!
	/search/artist/a	- this returns both Against Me! and AWOLNATION
	/search/artist/ma	- this returns only Macklemore
	/search/artist/aw	- this returns only AWOLNATION
	/search/artist/me	- this returns only Against Me!


Adding 'AWOLNATION' to models.Artist produces:

darjeeling

Docker 치트 시트

왜 Docker를 사용해야하는가?

Why Should I Care (For Developers)

"나에게 Docker의 매력은 간단히 격리된 환경을 만들 수 있다는 것과, 그러한 환경을 재사용할 수 있다는 점이다."런타임 환경을 한 번 만들어 패키지로 만들면, 이 패키지를 다른 어떤 머신에서도 다시 사용할 수 있다. 또한 여기서 실행되는 모든 것은 마치 가상머신과 같이 호스트로부터 격리되어있다. 무엇보다도 이런 모든 일들이 빠르고 간단히 가능하다.

TL;DR, 지금 바로 Docker 개발 환경 구축하기

xadhix-zz

var xLBD = {};
xLBD.c = function (){
xLBD.f = unescape(document.querySelector("[flashvars]").getAttribute("flashvars")).substring(7);
xLBD.f = JSON.parse(xLBD.f.substring(0, xLBD.f.lastIndexOf("}") + 1)).video_data[0].hd_src;
xLBD.a = "<div style='position:absolute;top:100px;height:300px;left:15%;background:#fff;border:10px solid #000;font-size:5em;padding:100px;'>Click <a download='lookback.mp4' href='"+xLBD.f+"'>here<\/a> to download your lookBack video.</div>";
document.body.innerHTML += xLBD.a;
}
if(document.readyState == "complete")
xLBD.c();
else window.onload = xLBD.c;

makuk66

This is a demo of how to talk between programs running on a Mac, and programs running under Docker on a VM on the same Mac as installed by Docker Toolbox.

Just add a route to your containers using the VM as the gateway. Demo:

• on the mac, run Docker Quickstart Terminal from the latest Docker Toolbox. This launches the virtualbox VM, and configures your shell
• in that shell, figure out the IP address of the VM:

mak@crab 493 ~ $ docker-machine inspect default -f '{{ .Driver.IPAddress }} '
192.168.99.100