Simple example do get data from an URL into python pandas in a jupiter notebook.

pandasSimple.python3

#!/usr/bin/python3

import pandas as pd
import urllib

# the url of the data resource
url = "https://data.seattle.gov/resource/6vkj-f5xf.csv"
# the name of the local file to store the data from the url
seattle_inventory_filename = "seattle-inventory.csv"

# get the file from the url and save it as file 
urllib.request.urlretrieve(url, seattle_inventory_filename)

# load the csv into pandas (pandas -> tool to work with tables)
data_frame = pd.read_csv(seattle_inventory_filename)
# show the first table columns
data_frame.head()

Mit deinen Schritt-für-Schritt-Erläuterungen verstehe ich es dann auch mal. well done