If you want to try this yourself, try to build the interactive app above.

The WHITE text is output from the program. The YELLOW input is what the users types.

This application will ask the user for their zip code. Then you will use this zip code, the requests and beautiful soup 4 PyPI packages to download a weather web page, scrape out the relevant info and display it back on the console.

Note: If you visit wunderground.com today and search for a location, it no longer uses the zipcode as clearly in the URL. For example, my local report is wunderground.com/weather/us/or/portland. However, the URL in the code and demos still works entirely well. It's just not publicly used on the site. For example, this URL is fine:

http://www.wunderground.com/weather-forecast/92018

Python Package Index (PyPI)

https://pypi.python.org/pypi

pip

pip3 list
pip3 install requests

Requests package

Quick start: http://docs.python-requests.org/en/master/user/quickstart/

Beautiful soup package

Quick start: http://www.crummy.com/software/BeautifulSoup/bs4/doc/#quick-start

tuples

# Create a tuple
m = (22.5, 44.234, 19.02, 'strong')

temp = m[0]      # 22.5
quality = m[3]   # 'strong'

print(m) # (22.5, 44.234, 19.02, 'strong')

# tuple unpacking
t, la, lo, q = m

namedtuples

import collections

# Define a named tuple 'type'
Measurement = collections.namedtuple('Measurement', 
'temp, lat, long, quality')

# Create an instance of that type of named tuple
m = Measurement(22.5, 44.234, 19.02, 'strong')

temp = m[0]          # old skool
temp = m.temp        # new hotness
quality = m.quality  # new hotness

print(m)
# Measurement(temp=22.5, lat=44.234, 
    long=19.02, quality='strong')