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import wiringpi | |
import time | |
# 1M external pull-up resistor | |
# 1) set pin low and to output to discharge | |
# 2) make the pin an input without the internal pull-up on | |
# 3) read input and see how long it takes to go high | |
# ref: https://github.com/WiringPi/WiringPi-Python | |
# pins: https://projects.drogon.net/raspberry-pi/wiringpi/pins/ |
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documents = [ dict( | |
email=open("conference/%d.txt" % n).read().strip(), | |
category='conference') for n in range(1,372) ] | |
documents.extend([ dict( | |
email=open("job/%d.txt" % n).read().strip(), | |
category='job') for n in range(1,275)]) | |
documents.extend([ dict( | |
email=open("spam/%d.txt" % n).read().strip(), | |
category='spam') for n in range(1,799) ]) |
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/* | |
* This is a version of Facebook's React Conditional Rendering | |
* example modified to support firebase authentication. | |
* https://facebook.github.io/react/docs/conditional-rendering.html | |
*/ | |
import React, { Component, PropTypes } from 'react'; | |
import * as firebase from 'firebase'; | |
function UserAvatar(props) { |
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from dictalchemy import make_class_dictable | |
from flask import Flask, request, jsonify, json | |
from flask_sqlalchemy import SQLAlchemy | |
from jsonpatch import JsonPatch, JsonPatchException | |
app = Flask(__name__) | |
app.debug = True | |
db = SQLAlchemy(app) | |
make_class_dictable(db.Model) |
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<!DOCTYPE html> | |
<html> | |
<head> | |
<script src="/socket.io/socket.io.js"></script> | |
<script> | |
(function () { | |
var onMessage = function (data) { | |
// Do something with the message data | |
}; |
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#Original Author https://raw.githubusercontent.com/kgoedecke/python-ecs-example/master/python_ecs_example/deployment.py | |
import boto3 | |
import pprint | |
import os | |
# Credentials & Region | |
access_key = os.environ["AWS_ACCESS_KEY_ID"] | |
secret_key = os.environ["AWS_SECRET_ACCESS_KEY"] | |
region = "us-east-1" |
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""" | |
1. Setup a Twitter Developer account and create new App, get its consumer key and consumer secret and replace them below | |
2. Replace TWEETS_DB, QUERY, and LANGUAGE values | |
3. Install required packages: `pip install tweepy schedule` | |
4. Run process using `python tweets_to_db.py` | |
""" | |
import tweepy | |
import sqlite3 | |
import datetime |