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145
StockData.py
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StockData.py
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# StockData.py
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# Andrew Dinh
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# Python 3.6.1
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# Description:
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'''
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Returns all available dates and prices for each stock requested.
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'''
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# Alpha Vantage API Key: O42ICUV58EIZZQMU
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# Barchart API Key: a17fab99a1c21cd6f847e2f82b592838
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# Tiingo API Key: 2e72b53f2ab4f5f4724c5c1e4d5d4ac0af3f7ca8
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# If you're going to take these API keys and abuse it, you should really reconsider your life priorities
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apiAV = 'O42ICUV58EIZZQMU'
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apiBarchart = 'a17fab99a1c21cd6f847e2f82b592838'
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apiTiingo = '2e72b53f2ab4f5f4724c5c1e4d5d4ac0af3f7ca8'
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import requests, json
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'''
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def install(package):
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if hasattr(pip, 'main'):
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pip.main(['install', package])
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else:
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pip._internal.main(['install', package])
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'''
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class Stock:
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def __init__(self, newStock = '', newfirstLastDates = [], newDates = []):
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self.name = newStock
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self.firstLastDates = newfirstLastDates
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self.dates = newDates
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def getDates(self): # returns beginning and end dates available
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print("Getting available dates for", self, "...\n")
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# Gets first and last possible dates from each source
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# Also gets all dates from each source
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# IEX
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print("\nDates from IEX...")
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firstLastDatesIEX = Stock.getDatesIEX(self, 'firstLast')
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print("\nFirst and last dates:", firstLastDatesIEX)
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datesIEX = Stock.getDatesIEX(self, 'all')
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#print("All dates (recent first):", datesIEX, "\n")
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# Alpha Vantage
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print("\nDates from Alpha Vantage...")
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firstLastDatesAV = Stock.getDatesAV(self, 'firstLast')
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print("\nFirst and last dates:", firstLastDatesAV)
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datesAV = Stock.getDatesAV(self, 'all')
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#print("All dates (recent first):", datesAV, "\n")
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#
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def getDatesIEX(self, which):
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url = ''.join(('https://api.iextrading.com/1.0/stock/', self, '/chart/5y'))
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#link = "https://api.iextrading.com/1.0/stock/spy/chart/5y"
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print("URL:", url)
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f = requests.get(url)
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json_data = f.text
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loaded_json = json.loads(json_data)
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dates = []
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if which == 'firstLast':
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# Find firstDate (comes first)
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firstLine = loaded_json[0]
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#print("firstLine:", firstLine)
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firstDate = firstLine['date']
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#print("firstDate:",firstDate)
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# Find finalDate (comes last)
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#print("Length:", len(loaded_json))
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lastLine = loaded_json[-1] # Returns last value of the list (Equivalent to len(loaded_json)-1)
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#print("lastLine:", lastLine)
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finalDate = lastLine['date']
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#print("Final date:", finalDate)
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dates.append((firstDate, finalDate))
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else:
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# for i in range(0, len(loaded_json), 1): # If you want to do oldest first
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for i in range(len(loaded_json)-1, 0, -1):
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line = loaded_json[i]
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date = line['date']
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dates.append(date)
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return dates
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def getDatesAV(self, which):
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url = ''.join(('https://www.alphavantage.co/query?function=TIME_SERIES_MONTHLY&symbol=', self, '&apikey=', apiAV))
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# https://www.alphavantage.co/query?function=TIME_SERIES_MONTHLY&symbol=MSFT&apikey=demo
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print("URL:", url)
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f = requests.get(url)
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json_data = f.text
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loaded_json = json.loads(json_data)
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#print(loaded_json['Monthly Time Series'])
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monthlyTimeSeries = loaded_json['Monthly Time Series']
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#print(monthlyTimeSeries)
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#print(len(monthlyTimeSeries))
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#length = len(monthlyTimeSeries)
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#print(monthlyTimeSeries['2018-12-17'])
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#print(type(monthlyTimeSeries))
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listOfDates = list(monthlyTimeSeries)
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#print(listOfDates)
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dates = []
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if which == 'firstLast':
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firstDate = listOfDates[-1]
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lastDate = listOfDates[0]
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#print("firstDate:", firstDate)
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#print("lastDate:", lastDate)
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dates.append((firstDate, lastDate))
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else:
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dates = listOfDates
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return dates
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'''
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# Find finalDate (comes first)
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print("Length:", len(loaded_json))
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lastLine = loaded_json[-1] # Returns last value of the list (Equivalent to len(loaded_json)-1)
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print("lastLine:", lastLine)
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finalDate = lastLine['date']
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print("Final date:", finalDate)
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dates = []
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dates.append((firstDate, finalDate))
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'''
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'''
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def printDates(self):
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print("Getting data from IEX...")
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url = ''.join(('https://api.iextrading.com/1.0/stock/', self.name, '/chart/5y'))
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#link = "https://api.iextrading.com/1.0/stock/spy/chart/5y"
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print("URL:", url)
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f = requests.get(url)
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#print(f.text)
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json_data = f.text
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loaded_json = json.loads(json_data)
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print("Printing from IEX...")
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for i in range (0,len(loaded_json),1):
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a = loaded_json[i]
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print(a['date'])
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'''
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def main():
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#if __name__ == '__main__':
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# install('requests')
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stock = 'spy'
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spy = Stock(stock)
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#print(spy.name)
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Stock.getDates(stock)
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#Stock.printDates(spy)
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main()
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__pycache__/StockData.cpython-37.pyc
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BIN
__pycache__/StockData.cpython-37.pyc
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main.py
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main.py
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# main.py
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# Andrew Dinh
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# Python 3.6.1
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# Description: Get, parse, and interpret JSON files from IEX
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import urllib.request
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import re
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#import os, errno
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import json
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file_path = "tmp/data.txt"
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# directory = os.path.dirname(file_path)
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url = urllib.request.urlopen("https://api.iextrading.com/1.0/stock/aapl/chart")
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#print("url =", url)
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html = url.read() # this is not a string, must convert it for findall()
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# print("the html =", html)
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myFile = open('data.json','r')
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data = myFile.read()
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json_string = json.dumps(data)
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print("json string:", data)
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# Description:
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'''
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myFile =open(file_path,'w')
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myFile.write(str(html))
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myFile.close()
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Asks users for mutual funds/stocks to compare
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Asks to be compared (expense ratio, turnover, market capitalization, or persistence)
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Asks for time period (Possibly: 1 year, 5 years, 10 years)
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Makes the mutual funds as class Stock
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Gets data from each API
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Compare and contrast dates and end changeOverTime for set time period
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NOTES: Later can worry about getting close values to make a graph or something
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Gives correlation value using equation at the end (from 0 to 1)
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# Create tmp folder
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try:
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os.makedirs(directory)
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except OSError as e:
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if e.errno != errno.EEXIST:
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raise
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myFile = open(file_path,'r')
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listOfLines = myFile.read().split('}')
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#print("fileAsList:\n",listOfLines)
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print(listOfLines[0],"\n")
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print(listOfLines[1])
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'''
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'''
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for j in range(0,len(listOfLines),1):
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aLine = listOfLines[j]
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#print(aLine)
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lineData = aLine.split()
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#print(lineData)
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FIRST TESTING WITH EXPENSE RATIO
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'''
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'''
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url = urllib.request.urlopen("http://www.gavilan.edu/staff/dir.php")
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print("url =", url)
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html = url.read() # this is not a string, must convert it for findall()
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# print("-----------------------------------------------")
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# print("the html =", html)
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myFile = open('dataFile.txt','w')
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myFile.write(str(html))
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myFile.close()
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myFile = open('dataFile.txt','r')
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listOfLines = myFile.readlines() # returns a list of lines,USE for search()
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#print("fileAsList:\n",listOfLines)
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listOfEmails = re.findall(r'\w+@gavilan.edu', str(html))
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# print(listOfEmails)
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myFile.close()
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myFile = open('dataFile.txt','r')
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listOfLines = myFile.readlines()
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for line in listOfLines:
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match = re.search('stoykov',str(line))
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if match:
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print(line)
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myFile.close()
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'''
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import StockData
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1
requirements.txt
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1
requirements.txt
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requests==2.21.0
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