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C-coded Python extension module that supports multiple-precision arithmetic. In addition to supporting GMP or MPIR for multiple-precision integer and rational arithmetic, gmpy2 adds support for the MPFR (correctly rounded real floating-point arithmetic) and MPC (correctly rounded complex floating-point arithmetic) libraries.

Gnuplot.py is a Python package that interfaces to gnuplot, the popular plotting program. It allows you to use gnuplot from within Python to plot arrays of data from memory, data files, or mathematical functions. If you use Python to perform computations or as `glue' for numerical programs, you can use this package to plot data on the fly as they are computed. And the combination with Python makes it is easy to automate things, including to create crude `animations' by plotting different datasets one after another. Commands are communicated to gnuplot through a pipe and data either through the same pipe (as "inline" data) or through temporary files. It has been written and tested on a Unix computer. This package has an object-oriented design that allows the user flexibility to set plot options and to run multiple gnuplot sessions simultaneously. If you are more ambitious, it is not difficult to add entirely new types of plottable items by deriving from the `PlotItem' class. For a demonstration, run the python file by typing `python demo.py'.

Graphillion is a Python software package on search, optimization, and enumeration for a graphset, or a set of graphs. - Lightweight data structures for handling x-illions of graphs - Search, optimization, and enumerate large and complex graph sets - Efficient implementation extending Python with C/C++ - Working with existing graph tools like NetworkX - Open source MIT license - Well tested: more than 600 unit tests - Fast prototyping, easy to teach, and multi-platform

Python interface to GNU Scientific Library

This module extends Python with a Graph class which is capable of handling arbitrary directed and undirected graphs with thousands of nodes and millions of edges. Since the module makes use of the open source igraph library written in almost 100% pure C, it is blazing fast and outperforms most other pure Python-based packages around.

intspan is a set subclass that conveniently stores sets of integers. Sets can be created from and displayed as integer spans such as 1-3,14,29,92-97 rather than exhaustive member listings.

Luminol is a light weight python library for time series data analysis. The two major functionalities it supports are anomaly detection and correlation. It can be used to investigate possible causes of anomaly.

MathDOM is a set of Python modules (using PyXML or lxml, and pyparsing) that import mathematical terms as a Content MathML DOM. It currently parses MathML and literal infix terms into a DOM document and writes out MathML and literal infix/prefix/postfix/Python terms. The DOM elements are enhanced by domain specific methods that make using the DOM a little easier. Implementations based on PyXML and lxml/libxml2 are available.

matplotlib is a python 2D plotting library which produces publication quality figures using in a variety of hardcopy formats (PNG, JPG, PS, SVG) and interactive GUI environments (WX, GTK, Tkinter) across platforms. matplotlib can be used in python scripts, interactively from the python shell (ala matlab or mathematica), in web application servers generating dynamic charts, or embedded in GTK, Tk or WX applications; see backends.

Mpmath is a pure-Python library for multiprecision floating-point arithmetic. It provides an extensive set of transcendental functions, unlimited exponent sizes, complex numbers, interval arithmetic, numerical integration and differentiation, root-finding, linear algebra, and much more. Almost any calculation can be performed just as well at 10-digit or 1000-digit precision, and in many cases mpmath implements asymptotically fast algorithms that scale well for extremely high precision work. If available, mpmath will (optionally) use gmpy to speed up high precision operations.