GGulati

import speech_recognition
import pyttsx

speech_engine = pyttsx.init('sapi5') # see http://pyttsx.readthedocs.org/en/latest/engine.html#pyttsx.init
speech_engine.setProperty('rate', 150)

def speak(text):
	speech_engine.say(text)
	speech_engine.runAndWait()

sveetch

/*
 * 
 * This is a CasperJS script.
 * 
 * It try to authenticate so the session cookie can be stored in current profile 
 * and then BackstopJS+CasperJS+SlimerJS can use the same cookie during tests.
 * 
 * Scenario
 * ========
 * 

kosiara

# author:
# @Bartosz Kosarzycki
#

sudo apt-get install npm
sudo npm install -g react-native-cli
sudo ln -s /usr/bin/nodejs /usr/bin/node
cd /home/user/your/project/path
react-native init AwesomeProject
cd AwesomeProject

paulirish

Option 1: Command-line download extension as zip and extract

extension_id=jifpbeccnghkjeaalbbjmodiffmgedin   # change this ID
curl -L -o "$extension_id.zip" "https://clients2.google.com/service/update2/crx?response=redirect&os=mac&arch=x86-64&nacl_arch=x86-64&prod=chromecrx&prodchannel=stable&prodversion=44.0.2403.130&x=id%3D$extension_id%26uc" 
unzip -d "$extension_id-source" "$extension_id.zip"

Thx to crxviewer for the magic download URL.

harlow

Golang Workers / Job Queue

A running example of the code from:

• http://marcio.io/2015/07/handling-1-million-requests-per-minute-with-golang
• http://nesv.github.io/golang/2014/02/25/worker-queues-in-go.html

This gist creates a working example from blog post, and a alternate example using simple worker pool.

TLDR: if you want simple and controlled concurrency use a worker pool.

danharper

// this is the background code...

// listen for our browerAction to be clicked
chrome.browserAction.onClicked.addListener(function (tab) {
	// for the current tab, inject the "inject.js" file & execute it
	chrome.tabs.executeScript(tab.ib, {
		file: 'inject.js'
	});
});

sergiotapia

import (
    "crypto/md5"
    "encoding/hex"
)

func GetMD5Hash(text string) string {
    hasher := md5.New()
    hasher.Write([]byte(text))
    return hex.EncodeToString(hasher.Sum(nil))
}

huangzhichong

API workthough

1. Open a browser

   # start an instance of firefox with selenium-webdriver
   driver = Selenium::WebDriver.for :firefox
   # :chrome -> chrome
   # :ie     -> iexplore
   

• Go to a specified URL

chrishamant

#!/usr/bin/env python
"""Split large file into multiple pieces for upload to S3.

S3 only supports 5Gb files for uploading directly, so for larger CloudBioLinux
box images we need to use boto's multipart file support.

This parallelizes the task over available cores using multiprocessing.

Usage:
  s3_multipart_upload.py <file_to_transfer> <bucket_name> [<s3_key_name>]

nephics

# 
# Test of experimental Tornado feature for a streaming request body handler, see
# https://github.com/nephics/tornado/commit/1bd964488926aac9ef6b52170d5bec76b36df8a6
#

#
#  Client sending file to server
#

import tornado.httpclient as httpclient