Contains a framework of classes for representing various types of real numbers using arbitrary precision rational approximation.
Contains a few functions for analysing graphs.
As of time of writing, the form of graph is as a 2d array where
G[x][y] refers to the weight of the directed edge from the node at
index x to the node at index y.
The Matrix class and a few methods for manipulating said matrices.
The typical use case for this is to do matrix calculations and print the working as it goes along. This can be used to assist mathematical work, proofs of concept, and even as a drop in replacement to hard to debug libraries.
Also of note is the flexibility of the inner data type - you can use various number-like data types in the entries of matrix.
Simply contains a Miller-Rabin primality tester as of time of writing.
Mainly combinatoric iterators (more accurately, generators).