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from asyncio import run


async def sum():
	total = 0
	for i in range(0,10):
		print(f'i : {i}')
		total += i
	return total

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import requests

url = 'https://www.facebook.com/favicon.ico'
r = requests.get(url, allow_redirects=True)

with open('facebook.ico', 'wb') as f:
	f.write(r.content)

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import nltk
nltk.download('punkt')
import itertools 

text = "today is 'Nayan's birthday. she loves ice cream. she is also fond of cream cake. we will celebrate her birthday with ice cream cake"

sentences = nltk.sent_tokenize(text)
words = [nltk.word_tokenize(sent) for sent in sentences]
print(words)

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Tensorflow Object Detection API :
==================================

https://www.youtube.com/watch?v=COlbP62-B-U&index=1&list=PLQVvvaa0QuDcNK5GeCQnxYnSSaar2tpku

https://github.com/tensorflow/models/tree/master/research/object_detection

https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md

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Steps for Installing LabelImg :
=================================

Step 1. 
git clone https://github.com/tzutalin/labelImg

Step 2. 
sudo pip3 install pyqt5 lxml

Step 3.

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from imutils import face_utils
import dlib
import cv2
import time

# initialize dlib's face detector (HOG-based) and then create
# the facial landmark predictor

cap = cv2.VideoCapture(0)

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# -*- coding: utf-8 -*-
"""
This script will delete all of the tweets in the specified account.
You may need to hit the "more" button on the bottom of your twitter profile
page every now and then as the script runs, this is due to a bug in twitter.

You will need to get a consumer key and consumer secret token to use this
script, you can do so by registering a twitter application at https://dev.twitter.com/apps

@requirements: Python 2.5+, Tweepy (http://pypi.python.org/pypi/tweepy/1.7.1)

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#!/usr/bin/env python2

"""
OpenCV example. Show webcam image and detect face.
"""

import cv2

TRAINSET = "/usr/share/OpenCV/lbpcascades/lbpcascade_frontalface.xml"
DOWNSCALE = 4

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import cv2

# Windows dependencies
# - Python 2.7.6: http://www.python.org/download/
# - OpenCV: http://opencv.org/
# - Numpy -- get numpy from here because the official builds don't support x64:
#   http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy

# Mac Dependencies
# - brew install python

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/**
 * Luhn algorithm in JavaScript: validate credit card number supplied as string of numbers
 * @author ShirtlessKirk. Copyright (c) 2012.
 * @license WTFPL (http://www.wtfpl.net/txt/copying)
 */
var luhnChk = (function (arr) {
    return function (ccNum) {
        var 
            len = ccNum.length,
            bit = 1,