EM5813

Lecture 1: Introduction to Research — [📝Lecture Notebooks] [▶️Video]
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [▶️Video]
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [▶️Video]
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [▶️Video]
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[▶️Vide

type below:

brew update
brew install redis

To have launchd start redis now and restart at login:

brew services start redis

	from urllib.parse import urlsplit

	import advertools as adv


	sites = [
	'https://www.who.int',
	'https://www.nytimes.com',
	'https://www.washingtonpost.com',
	]

	# Import packages
	import yfinance as yf
	import pandas as pd

	# Read and print the stock tickers that make up S&P500
	tickers = pd.read_html(
	'https://en.wikipedia.org/wiki/List_of_S%26P_500_companies')[0]
	print(tickers.head())

	# Get the data for this tickers from yahoo finance

	import pandas as pd
	import numpy as np
	from bs4 import BeautifulSoup as soup
	from urllib.request import Request, urlopen

	pd.set_option('display.max_colwidth', 25)

	# Input
	symbol = input('Enter a ticker: ')
	print ('Getting data for ' + symbol + '...\n')

	import numpy as np
	from statsmodels.regression.linear_model import OLS
	from statsmodels.tsa.tsatools import lagmat, add_trend
	from statsmodels.tsa.adfvalues import mackinnonp

	def adf(ts, maxlag=1):
	"""
	Augmented Dickey-Fuller unit root test
	"""
	# make sure we are working with an array, convert if necessary

	from flask import Flask, render_template
	from flask_bootstrap import Bootstrap
	from flask_wtf import Form
	from wtforms.fields import DateField


	app = Flask(__name__)
	app.config['SECRET_KEY'] = 'secret'
	Bootstrap(app)