This was a module-centric chapter, where we added three new modules to our toolkit. In addition, we gained an understanding of the UserAssist artifact and how to parse it. While these concepts are important, our brief detour with timeit may prove most valuable going forward.
As developers, there will be times where the execution of our scripts is lacking or, on large datasets, takes an absurd amount of time. In these situations, modules such as timeit can help audit and evaluate code to identify more efficient solutions for a given situation. The code for this project can be downloaded from GitHub or Packt, as described in the Preface.
In the next chapter, we will introduce how to hash files in Python. Specifically, we will focus on hashing blocks of data to identify identical and similar files. This is referred to as "fuzzy hashing." This technique is useful...
