August 2018
Intermediate to advanced
366 pages
10h 14m
English
Python has a very easy and flexible set of built-in containers. As a Python developer, there is little you can't achieve with a dict or a list. The convenience of Python dictionaries and lists is such that developers often forget that those have limits. Like any data structure, they are optimized and designed for specific use cases and might be inefficient in some conditions, or even unable to handle them.
Ever tried to put a key in a dictionary twice? Well you can't, because Python dictionaries are designed as hash tables with unique keys, but the MultiDict recipe will show you how to do that. Ever tried to grab the lowest/highest values out of a list without traversing it whole? The list itself can't, but in the Prioritized entries ...