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#!/bin/bash
# Arguments can include a quoted string to define the test string to be repeated
# If an argument is numbers only, it changes the rate at which to speak (words per minute, default 200)
play_all_voices() {
	local voice
	local rate=200
	local test_string="How are you?"

	for arg in $@; do
		if [[ $arg =~ ^[0-9]+$ ]]; then

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from Crypto.Cipher import AES
import base64
import os

# the block size for the cipher object; must be 16, 24, or 32 for AES
BLOCK_SIZE = 32

# the character used for padding--with a block cipher such as AES, the value
# you encrypt must be a multiple of BLOCK_SIZE in length.  This character is
# used to ensure that your value is always a multiple of BLOCK_SIZE

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Find the SD card device

In this case, the SD card is /dev/disk4. DO NOT get this wrong or you may destroy all the data on the wrong disk/card/drive.

diskutil list

/dev/disk0
   #:                       TYPE NAME                    SIZE       IDENTIFIER
   0:      GUID_partition_scheme                        *160.0 GB   disk0

1: EFI 209.7 MB disk0s1

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"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

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#!/usr/bin/env python
# -*- coding: utf-8 -*-

import urllib2

gh_url = 'https://api.github.com'

req = urllib2.Request(gh_url)

password_manager = urllib2.HTTPPasswordMgrWithDefaultRealm()

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# You need to install scikit-learn:
# sudo pip install scikit-learn
#
# Dataset: Polarity dataset v2.0
# http://www.cs.cornell.edu/people/pabo/movie-review-data/
#
# Full discussion:
# https://marcobonzanini.wordpress.com/2015/01/19/sentiment-analysis-with-python-and-scikit-learn

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from flask import Flask, render_template

app = Flask(__name__)

@app.route('/')
@app.route('/index')
def index(chartID = 'chart_ID', chart_type = 'bar', chart_height = 350):
	chart = {"renderTo": chartID, "type": chart_type, "height": chart_height,}
	series = [{"name": 'Label1', "data": [1,2,3]}, {"name": 'Label2', "data": [4, 5, 6]}]
	title = {"text": 'My Title'}

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Guide to install PyQt5 on Mac OS X with python 3.4 virtualenv

Description

A simple guide to install PyQt5 on Mac OS X 10.9 (Maverick) and use python 3.4 on a virtualenv.

Requirements

• xcode 5.1.1
• python 3.4.0
• Qt libraries 5.2.1

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#!/usr/bin/env python
# encoding: utf-8

import tweepy #https://github.com/tweepy/tweepy
import csv

#Twitter API credentials
consumer_key = ""
consumer_secret = ""
access_key = ""

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Build a scalable Twitter clone with Django and GetStream.io

In this tutorial we are going to build a Twitter clone using Django and GetStream.io, a hosted API for newsfeed development.

We will show you how easy is to power your newsfeeds with GetStream.io. For brevity we leave out some basic Django-specific code and recommend you refer you to the Github project for the complete runnable source code. At the end of this tutorial we will have a Django app with a profile feed, a timeline feed, support for following users, hashtags and mentions.

I assume that you are familiar with Django. If you're new to Django the [official tutorial] (https://docs.djangoproject.com/en/2.0/intro/) explains it very well.