Run Code after Your Program Exits with Python’s AtExit

Register cleanup functions that run after your script ends or errors

Applying Python multiprocessing in 2 lines of code

When and how to use multiple cores to execute many times faster

How to Make a Database Connection in Python for Absolute Beginners

3 steps (+examples) to connect to MS SQL Server, MySQL, Oracle and many other databases

Creating a Python PostgreSQL connection for absolute beginners

How your Python script can communicate with your Postgres database

If I understand correctly the two options are different use-cases.

So it kinda depends on what you're trying to achieve.

Understanding Python Context-Managers for Absolute Beginners

Understand the WITH statement with lightsabers

My logging file gets too big! — Python logging to multiple files

Implementing rotating file handlers

Colored Logs for Python

Printing colored messages to the console

Python logging — saving logs to a file & sending logs to an API

Get your logs to where they are needed to debug your code

Python Logging for Absolute Beginners

Stop using print statements for debugging and switch to something more advanced

Cython for absolute beginners: 30x faster code in two simple steps

Easy Python code compilation for blazingly fast applications

Thanks for your feedback Steve, much appreciated!

#9 was a bit meager indeed, I’ve added a bit more explanation.