While it’s not always the case that every Python program you write will require a rigorous performance analysis, it is reassuring to know that there are a wide variety of tools in Python’s ecosystem that one can turn to when the time arises.
Analyzing a program’s performance boils down to answering 4 basic questions:
- How fast is it running?
- Where are the speed bottlenecks?
- How much memory is it using?
- Where is memory leaking?
Below, we’ll dive into the details of answering these questions using some awesome tools.