Python Machine Learning Blueprints - Second Edition

Putting it all together

Up until this point, we've worked within the Jupyter Notebook, but now, in order to deploy our app, we'll move on to working in a text editor. The notebook is excellent for exploratory analysis and visualization, but running a background job is best done within a simple .py file. So, let's get started.

We'll begin with our imports. You may need to pip install a few of these if you don't already have them installed:

import sys 
import sys 
import numpy as np 
from bs4 import BeautifulSoup 
from selenium import webdriver 
import requests 
import scipy 
from PyAstronomy import pyasl 
 
from datetime import date, timedelta, datetime 
import time 
from time import sleep 
import schedule 

Next, we'll create a function that pulls down ...