Python's other collection types and algorithms

It's impossible to use Python without learning about lists, dictionaries and tuples, and most people have at least heard about sets. These four collection types are so important and useful that Python has special syntax for creating them.

Fewer people know about Python's other built-in collection data types and algorithms. A deque supports fast appends and pops from both ends and is great for breath-first searches, the heapq module helps you construct a priority queue on top of lists, and the bisect module is handy for quick binary searches of an already sorted list.

The defaultdict uses the dict __missing__ hook as a better solution to setdefault, OrderedDict is a dictionary that preserves insertion order, and Counter is a dictionary specialized for counting hashable objects. A namedtuple is handy if you want to support both index and attribute lookups for the same item, and a frozenset is a hashable form of a set which can be used as keys in a dictionary or set.

My talk will go over these 8 different classes and modules. I'll give concrete examples of how to use them and why they are useful. The target audience is intermediate programmers who are familiar with the Python's standard data types and with data types in general, but who don't know all of the functionality available in modern Python.