CSV.py

import requests
import csv

#1. get a csv file:
url = "http://www.digisoln.com/games.csv"
download = requests.get(url)

#2. write csv data to a file, and save file to disk:
with open('games.csv', 'w', newline='') as file:
    writer = csv.writer(file)
    reader = csv.reader(download.text.splitlines())
    for row in reader:
      writer.writerow(row)

#3. map a csv file from disk to a dictionary:
with open('games.csv') as csvfile:
  anotherReader = csv.DictReader(csvfile)
  for eachRow in anotherReader:
    print(eachRow['Game'], eachRow['Released'])

.py
roadcrashes.py

import csv
import sqlite3

#download driverdemographics.csv from:
#https://data.qld.gov.au/dataset/crash-data-from-queensland-roads

createSQLqueryString = '''
CREATE TABLE IF NOT EXISTS crashData(
  id INTEGER NOT NULL PRIMARY KEY,
  Crash_Year INTEGER,
  Crash_Police_Region TEXT,
  Crash_Severity TEXT,
  Count_Casualty_All INT);
'''

insertSQLqueryString = '''
INSERT INTO crashData(
  Crash_Year,
  Crash_Police_Region,
  Crash_Severity,
  Count_Casualty_All
  ) values (?, ?, ?, ?);
'''                   

try:
  db = sqlite3.connect('roadcrashes.db')
  cursor = db.cursor()
  cursor.execute(createSQLqueryString)
  cursor.execute("SELECT * FROM crashData")
  result = cursor.fetchall()
  if not(len(result) > 0): #empty:
    with open('driverdemographics.csv') as csvfile:
      reader = csv.DictReader(csvfile)
      for each in reader:
        cursor.execute(insertSQLqueryString,
                       (each['Crash_Year'],
                        each['Crash_Police_Region'],
                        each['Crash_Severity'],
                        each['Count_Casualty_All']))
      
  db.commit()
  print("Database was created, and records were inserted.")
    
except Exception as error:    
  db.rollback()
  print("Something went wrong: " + str(error))
  
finally:
  db.close()

.py
A comma separated values (CSV) file is a plain text file, that normally uses a comma to separate each specific data value, for example:

colA,colB,colC
row1dataA,row1dataB,row1dataC
row2dataA,row2dataB,row2dataC

The (CSV) file we are using in the above example (when opened on disk) looks like this:

Game,Released
Skyrim,11-Nov-11
Minecraft,17-May-09
Fortnite,25-Jul-17

The second example above uses the driverdemographics.csv available here: https://data.qld.gov.au/dataset/crash-data-from-queensland-roads