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library for arbitrary-precision floating-point arithmetic

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. If matplotlib is available, mpmath also provides a convenient plotting interface.

Its features include:

* Fair performance -- typically 10-100x faster than Python's decimal library * Transcendental functions -- all functions from Python's math and cmath modules, plus a few more like gamma, factorial, erf * Complex numbers -- with support for transcendental functions * Directed rounding -- floor, ceiling, down, up, half-down, half-up, half-even * Unlimited exponents -- no overflow or underflow

Package version:0.17-1


mpmath (0.17-1) unstable; urgency=low

  * New upstream release
  * debian/rules
    - don't compress objects.inv; thanks to Michael Fladischer for the report;
      Closes: #608762
    - use --install-layout=deb when installing
  * debian/control
    - bump Standards-Version to 3.9.2 (no changes needed)
    - set XS-Python-Version to 'all'

 -- Sandro Tosi <>  Mon, 25 Apr 2011 17:


Released February 1, 2011


* Python 3 is now supported
* Dropped Python 2.4 compatibility
* Fixed Python 2.5 compatibility in matrix slicing code
* Implemented Python 3.2-compatible hashing, making mpmath numbers
  hash compatible with extremely large integers and with fractions
  in Python versions >= 3.2 (contributed by Case Vanhorsen)

Special functions:

* Implemented 


This package was debianized by Sandro Tosi <> on
Mon, 26 Nov 2007 20:55:55 +0100.

It was downloaded from

Upstream Author: 

    Fredrik Johansson <>


    Copyright (c) 2005-2010 Fredrik Johansson and mpmath contributors


    Redistribution and use in source and binary forms, with or without

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