Happy making!
Link to the Python Notebook with the code of today
In Azure
You will need to login with OUCU@open.ac.uk/password
https://notebooks.azure.com/mcancellieri/libraries/making-code-workshop
In Colab
https://drive.google.com/open?id=1JmJ5pgCVIJQAmEMd0oxVv53bvpmoFjJR
https://colab.research.google.com/drive/1JmJ5pgCVIJQAmEMd0oxVv53bvpmoFjJR
Url for live scraping
https://www.starbucks.com/menu/catalog/product?drink=espresso#view_control=product
Challenge #1
http://cotswoldjam.org/downloads/
Challenge #2
https://trinket.io/library/trinkets/a29485e969
Challenge #3
https://drive.google.com/open?id=1MXfwCl5WxjiwGHyQd-3vHksoB57Ms4KH
import requests
from bs4 import BeautifulSoup
response = requests.get('https://www.starbucks.com/menu/catalog/product?drink=espresso#view_control=product')
soup = BeautifulSoup(response.content, "html.parser")
drinks = soup.find(class_="drinks")
coffees = drinks.findAll("strong")
for coffee in coffees:
print(coffee.text)