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from bottle import route, run

@route('/hello')
def hello():
   return "Hello World!"

run(host='localhost', port=8080, debug=True)

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# sudo apt-get install xclip
# sudo pip install xerox begin

import time
import sys
import os
import io

import xerox
import begin

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Flask, Python 2.7, Single core                      271.97 [#/sec] (mean)
Flask, Pypy, Single core                            547.11
Flask+Gunicorn, Python, 8Core                       1363.06
Flask+Gunicorn, Pypy, 8Core                         2701.90
Flask+Gunicorn+Tornado, Python, 8Core               1403.88
Flask+Gunicorn+Tornado, Pypy, 8Core                 2582.12
Tornado, Python, Single core                        839.65
Tornado, Async, Python, Single core                 801.19
Tornado, Pypy, Single core                          1841.41 
Tornado, Async, Pypy, Single core                   1734.37

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# -*- coding: utf-8 -*-
"""
To install pylinkgrammar on Ubuntu

sudo apt-get install liblink-grammar4-dev cmake swig
pip install pylinkgrammar

"""

from pylinkgrammar.linkgrammar import Parser

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# -*- coding: utf-8 -*-
"""
Test MBSP parsing

Help on clips.MBSP
http://www.clips.ua.ac.be/pages/MBSP
"""
import MBSP
from time import time

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# show log in online and color
# Usage: tig
sudo apt-get install tig

# git extras
# Usage: see https://github.com/visionmedia/git-extras
(cd /tmp && git clone --depth 1 https://github.com/visionmedia/git-extras.git && cd git-extras && sudo make install)

# full commit history with diff of a file
# Usage: git history foo.py

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#!/bin/sh
echo "data:image/png;base64,`base64 $1`"

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$ cat /proc/cpuinfo | grep "model name" | uniq
model name	: Intel(R) Core(TM)2 Quad CPU    Q8400  @ 2.66GHz
$ uname -a
Linux Q8400 3.5.0-37-generic #58-Ubuntu SMP Mon Jul 8 22:07:55 UTC 2013 x86_64 x86_64 x86_64 GNU/Linux

$ python --version
Python 2.7.3

$ python -m timeit '"-".join(str(n) for n in range(100))'
10000 loops, best of 3: 24.4 usec per loop

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#!/usr/bin/python
import time

# sudo apt-get install python-daemon
from daemon import runner

class App():
    def __init__(self):
        self.stdin_path = '/dev/null'
        self.stdout_path = '/dev/tty'

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from text.blob import TextBlob

text = '''
The titular threat of The Blob has always struck me as the ultimate movie
monster: an insatiably hungry, amoeba-like mass able to penetrate
virtually any safeguard, capable of--as a doomed doctor chillingly
describes it--"assimilating flesh on contact.
Snide comparisons to gelatin be damned, it's a concept with the most
devastating of potential consequences, not unlike the grey goo scenario
proposed by technological theorists fearful of