Short title of solved problem and solution [Describe the general problem and the chosen solution in free from in a few sentences. Leave specific details for the following sections]
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from IPython.display import HTML | |
# Youtube | |
HTML('<iframe width="560" height="315" src="https://www.youtube.com/embed/S_f2qV2_U00?rel=0&controls=0&showinfo=0" frameborder="0" allowfullscreen></iframe>') | |
# Vimeo | |
HTML('<iframe src="https://player.vimeo.com/video/26763844?title=0&byline=0&portrait=0" width="700" height="394" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe><p><a href="https://vimeo.com/26763844">BAXTER DURY - CLAIRE (Dir Cut)</a> from <a href="https://vimeo.com/dannysangra">Danny Sangra</a> on <a href="https://vimeo.com">Vimeo</a>.</p>') |
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''' | |
Example of Tornado that autoreloads/watches all files in folder 'static' | |
''' | |
import tornado.ioloop | |
import tornado.web | |
import tornado.autoreload | |
import os | |
''' serves index.html''' |
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# http://open-notify.org/Open-Notify-API/ISS-Location-Now/ | |
import urllib2 | |
import json | |
import paho.mqtt.client as mqtt | |
import time | |
def on_message(client, userdata, message): | |
try: | |
available = message.payload |
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#load the iris data | |
data(iris) | |
# this data has 150 rows | |
nrow(iris) | |
# look at the first few | |
head(iris) | |
# splitdf function will return a list of training and testing sets |
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#include <OneWire.h> | |
#include <DallasTemperature.h> | |
// Data wire is conntec to the Arduino digital pin 2 | |
#define ONE_WIRE_BUS 2 | |
// Setup a oneWire instance to communicate with any OneWire devices | |
OneWire oneWire(ONE_WIRE_BUS); | |
// Pass our oneWire reference to Dallas Temperature sensor |
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import weather | |
import smtp | |
''' | |
Send a greeting email to our customer email list | |
with the daily weather forecast and schedule | |
''' | |
def get_emails(): | |
# Reading emails from a file |
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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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public class complex { | |
// Atributos-Propiedades-Campos (items) | |
private double real, img; | |
private int mod, arg; | |
// Constructores | |
public complex (double real, double img){ | |
this.real = real; | |
this.img = img; | |
} |
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