feelinc

#!/usr/bin/python

import os
import sys
import boto3

# get an access token, local (from) directory, and S3 (to) directory
# from the command-line
local_directory, bucket, destination = sys.argv[1:4]

mculp

Agnes               en_US    # Isn't it nice to have a computer that will talk to you?
Albert              en_US    #  I have a frog in my throat. No, I mean a real frog!
Alex                en_US    # Most people recognize me by my voice.
Alice               it_IT    # Salve, mi chiamo Alice e sono una voce italiana.
Alva                sv_SE    # Hej, jag heter Alva. Jag är en svensk röst.
Amelie              fr_CA    # Bonjour, je m’appelle Amelie. Je suis une voix canadienne.
Anna                de_DE    # Hallo, ich heiße Anna und ich bin eine deutsche Stimme.
Bad News            en_US    # The light you see at the end of the tunnel is the headlamp of a fast approaching train.
Bahh                en_US    # Do not pull the wool over my eyes.
Bells               en_US    # Time flies when you are having fun.

waylonflinn

#!/usr/bin/env bash

## create an ubuntu 14.04 hvm instance, then from your home directory:

# 1. download this script
# wget https://gist.githubusercontent.com/waylonflinn/506f563573600d944923/raw/install-python-data-science.sh

# 2. make it executable
# chmod a+x install-python-data-science.sh

ngpestelos

May 8, 2018

I wrote this four years ago, so instead use this command:

$ docker rmi $(docker images -q -f dangling=true)

nschneid

# http://nlp.cs.nyu.edu/wiki/corpuswg/AnnotationCompatibilityReport
# Table 1: Part of Speech Compatibility					
# (Initial Version from Manning and Schutz 1998, pp. 141-142)					
# Extended to cover Claws1 and ICE
# cf. http://www.scs.leeds.ac.uk/ccalas/tagsets/brown.html
# Nathan Schneider, 2011-02-19:
# * Fixed some errors in brown column, e.g.: DT1 => DTI, PP0 => PPO, NRS => NPS
# * Added last column (Twitter tagset) and several special tags at the end
Category	Examples	Claws c5, Claws1	Brown	PTB	ICE	Twitter
Adjective	happy, bad	AJ0	JJ	JJ	ADJ.ge	A

ianozsvald

"""Query AlchemyAPI to determine number of API calls still available"""
# -*- coding: utf-8 -*-
import json
import requests

def get_api_key():
    # Load API key (40 HEX character key) from local file
    key = open('api_key.txt').readline().strip()
    return key

banaslee

eXtreme Go Horse (XGH) Process

Quelle: http://gohorseprocess.wordpress.com

Übersetzung ursprünglich von https://gist.github.com/Neffez/f8d907ba8289f14e23f3855011fa4e2f

1. Ich denke, also ist es nicht XGH.
In XGH wird nicht gedacht, es wird das erste gemacht, was in den Sinn kommt. Es gibt auch keine zweite Option, die erste ist schneller.

2. Es gibt 3 Wege ein Problem zu lösen: den richtigen Weg, den falschen Weg und den XGH Weg, welcher exakt wie der falsche ist, aber schneller.

thbkrkr

[
  { "keys": ["f12"], "command": "htmlprettify"},
  { "keys": ["f1"], "command": "fold" },
  { "keys": ["f2"], "command": "unfold" },
  { "keys": ["ctrl+à"], "command": "show_overlay", "args": {"overlay": "goto", "text": "@"} },
  { "keys": ["ctrl+!"], "command": "show_overlay", "args": {"overlay": "goto", "text": ":"} },
  { "keys": ["ctrl+space"], "command": "auto_complete" },
  { "keys": ["ctrl+space"], "command": "replace_completion_with_auto_complete", "context":
    [
      { "key": "last_command", "operator": "equal", "operand": "insert_best_completion" },

jamiew

easterEgg.BadWorder.list={
"4r5e":1,
"5h1t":1,
"5hit":1,
a55:1,
anal:1,
anus:1,
ar5e:1,
arrse:1,
arse:1,

bellbind

"""Genetic Algorithmn Implementation
see:
http://www.obitko.com/tutorials/genetic-algorithms/ga-basic-description.php
"""
import random

class GeneticAlgorithm(object):
    def __init__(self, genetics):
        self.genetics = genetics
        pass