- Go to: 'System Preferences' >> 'MySQL' and stop MySQL
OR,
- sudo /usr/local/mysql/support-files/mysql.server start
- sudo /usr/local/mysql/support-files/mysql.server stop
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 |
The below article will cover the intricacies of setting up databases and heroku in respect to a flask app. This is more like a memo and will have out of sequence instructions or solutions to errors so read thoroughly.
You'll need the packages
import numpy as np | |
import warnings | |
from pandas_datareader import data as pdr | |
import yfinance as yf | |
import datetime as dt | |
from yahoo_fin import stock_info as si | |
import pandas as pd | |
pd.set_option('display.max_rows', None) | |
warnings.filterwarnings("ignore") | |
yf.pdr_override() |
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') |
#!flask/bin/python | |
from flask import Flask, jsonify, abort, request, make_response, url_for | |
from flask_httpauth import HTTPBasicAuth | |
app = Flask(__name__, static_url_path = "") | |
auth = HTTPBasicAuth() | |
@auth.get_password | |
def get_password(username): | |
if username == 'miguel': |
# Terminal Cheat Sheet | |
pwd # print working directory | |
ls # list files in directory | |
cd # change directory | |
~ # home directory | |
.. # up one directory | |
- # previous working directory | |
help # get help | |
-h # get help |