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run_daily.py

+# Daily instructions:
+# 1. Pull from the Github repo.
+# 2. Run `python run_daily.py`.
+# 3. Push to the Github repo.
+
+# This script should be run once daily. 
+# For safety's sake, and because data sources may not update at the same time everyday,
+# the daily update scripts typically check that the previous two days of data have already been added to the db
+# and add those days if they are missing.
+# So you shouldn't need to worry about running this script at the same time every day 
+# (and may be able to get away with missing a day).
+# But that is just a precaution and is NOT guaranteed for future scripts
+# so PLEASE RUN EVERYDAY!
+
+# Ideal vision: This all gets moved to a server that runs the scripts automatically everyday.
+
 from daily_data_scripts.daily_europe import daily_italy, daily_ukraine
 from daily_data_scripts.daily_global import daily_jhu
 

run_main_initial.py

+# This script should only be run once at the initialization of the database.
+# It includes creating the tables and populating them with all the initial data.
+# After this, run the run_daily.py script once a day to stay up-to-date.
+# NOTE: If you ever fall out of date by more than a day or two, 
+# either write your own scripts to catch up or start fresh with this script!
+
 import sqlite3
 import pandas as pd
 
 conn = sqlite3.connect('sqlite_db')
 c = conn.cursor()
 
-# TODO Namibia's country code is currently being read as NULL; wait for SQLServer and then debug
+# Create all tables.
 c.execute('''
             CREATE TABLE Countries(
             country_code VARCHAR(3) PRIMARY KEY,