kastnerkyle

# Author: Kyle Kastner
# License: BSD 3-Clause
# Implementing http://mnemstudio.org/path-finding-q-learning-tutorial.htm
# Q-learning formula from http://sarvagyavaish.github.io/FlappyBirdRL/
# Visualization based on code from Gael Varoquaux [email protected]
# http://scikit-learn.org/stable/auto_examples/applications/plot_stock_market.html

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.collections import LineCollection

cletusw

{
  // http://eslint.org/docs/rules/

  "ecmaFeatures": {
    "binaryLiterals": false,                    // enable binary literals
    "blockBindings": false,                     // enable let and const (aka block bindings)
    "defaultParams": false,                     // enable default function parameters
    "forOf": false,                             // enable for-of loops
    "generators": false,                        // enable generators
    "objectLiteralComputedProperties": false,   // enable computed object literal property names

johnschimmel

from flask import jsonify

@app.route('/data/ideas')
def data_ideas():

	# query for the ideas - return oldest first, limit 10
	ideas = models.Idea.objects().order_by('+timestamp').limit(10)

	if ideas:

alotaiba

Google Speech To Text API

Base URL: https://www.google.com/speech-api/v1/recognize
It accepts POST requests with voice file encoded in FLAC format, and query parameters for control.

Query Parameters

client
The client's name you're connecting from. For spoofing purposes, let's use chromium

lang
Speech language, for example, ar-QA for Qatari Arabic, or en-US for U.S. English