NAMYUNWOO

import random
import time

class CARD:
    card = [m+i for m in ["♣","♦","♥","♠"] for i in ['A', '2', '3', '4', '5', '6', '7', '8', '9', '10',"J","Q","K"]]
    def __init__(self):
        random.shuffle(self.card)
    
    def pop(self):
        return self.card.pop()

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import os
import datetime
import re
from functools import reduce
import pandas as pd
def dtString_to_datetime(sendDt):
    return datetime.datetime.strptime(sendDt,"%Y-%m-%d %H:%M:%S")

def sender_time_receivers(row):
    if type(row) == dict:

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# coding: utf-8

# In[28]:

from __future__ import print_function
import keras
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense, Dropout

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import pandas as pd
import re
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import log_loss,accuracy_score,confusion_matrix
from sklearn.calibration import CalibratedClassifierCV
from sklearn import preprocessing
from sklearn.metrics import roc_auc_score
from sklearn.grid_search import GridSearchCV

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class Rational(x:Int, y:Int){
  require(y != 0 , "denominator must be nonzero")
  def this(x: Int) = this(x,1)
  private def gcd(a:Int,b:Int): Int = if(b==0) a else gcd(b,a%b)
  def numer = x
  def denom = y
  def less(that:Rational) = numer * that.denom < that.numer * denom
  def max(that:Rational) = if(this.less(that)) that else this
  def add(that:Rational) = 
    new Rational(

NAMYUNWOO

import requests, grequests,re,sqlite3,datetime,sys,getopt,pymongo,time
from collections import deque

class SteamData:
    R_URL = "http://store.steampowered.com/appreviews/%d?json=1&filter=recent&start_offset=%d"
    GL_URL = "http://api.steampowered.com/ISteamApps/GetAppList/v0002/?key=STEAMKEY&format=json"
    G_URL = "http://store.steampowered.com/api/appdetails?appids=%d"
    U_URL = "http://api.steampowered.com/ISteamUser/GetPlayerSummaries/v0002/?key=%s&steamids=%s"
    UA_URL = "http://api.steampowered.com/ISteamUserStats/GetPlayerAchievements/v0001/?appid=%d&key=%s&steamid=%s"
    US_URL = "http://api.steampowered.com/ISteamUserStats/GetUserStatsForGame/v0002/?appid=%d&key=%s&steamid=%s"

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import numpy as np
from six.moves import cPickle
from matplotlib import pyplot as plt
from matplotlib.ticker import NullFormatter

# problem 1

#1)
n = 100000
x = np.random.rand(n,1)

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# coding: utf-8

# In[60]:

import pandas as pd
import statsmodels.api as sm
from statsmodels.stats.outliers_influence import variance_inflation_factor
import numpy as np

NAMYUNWOO

# coding: utf-8

# In[60]:

import pandas as pd
import statsmodels.api as sm
from statsmodels.stats.outliers_influence import variance_inflation_factor
import numpy as np

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# coding: utf-8

# In[60]:

import pandas as pd
import statsmodels.api as sm
from statsmodels.stats.outliers_influence import variance_inflation_factor
import numpy as np