Working with os paths is a prevalent task, especially when working on a console application in Python. Recently, I had to add a change to an existing feature where it was mandatory to return the last modified directory on a specific target. In Python, we have the opportunity to count with different libraries; in this post, we are going to use glob.

Sometimes, our working habits could experiment some interesting changes, maybe forced by real needs or even simply for the valid desire to explore new ways to do some tasks.  I remember in the past, I used to install SQL Server Developer edition on my laptop f. Nonetheless, I have had to add other Databases such as PostgreSQL or MySQL mainly for proof of concepts.  Therefore, I realized how much time and resources I was spending through the conventional process of installing from scratch new Databases versions, which includes taking valuable resources from my laptop.  At this point, I was convinced of replacing old working styles concerning Databases at my dev environment.

First at all, I would like to clarify something that maybe sounds evident, but sometimes we forget, the path is not a string, it is a fact that we must keep in mind to avoid headaches in our journey in Python.  Since Python 3.4 in advance, we count on a powerful and versatile module called pathlib.

The aim of this post is to show you a specific and useful tip in Python for replacing strings with matched values contained in a dictionary, for this task that could sound trivial but in the practice may represent an interesting challenge.