We are pleased to announce the release of FiPy 3.2.

 http://www.ctcms.nist.gov/fipy

This is predominantly a DevOps release.  The focus has been on making
FiPy easier to install with conda.  It's also possible to install a
minimal set of prerequisites with pip.  Further, FiPy is
automatically tested on all major platforms using cloud-based
Continuous Integration (linux with CircleCI, macOS with TravisCI, 
and Windows with AppVeyor).

This release addresses 38 issues.

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FiPy is an object oriented, partial differential equation (PDE) solver,
written in Python, based on a standard finite volume (FV) approach. The
framework has been developed in the Metallurgy Division and Center for
Theoretical and Computational Materials Science (CTCMS), in the Material
Measurement Laboratory (MML) at the National Institute of Standards and
Technology (NIST).

The solution of coupled sets of PDEs is ubiquitous to the numerical
simulation of science problems. Numerous PDE solvers exist, using a variety
of languages and numerical approaches. Many are proprietary, expensive and
difficult to customize. As a result, scientists spend considerable
resources repeatedly developing limited tools for specific problems. Our
approach, combining the FV method and Python, provides a tool that is
extensible, powerful and freely available. A significant advantage to
Python is the existing suite of tools for array calculations, sparse
matrices and data rendering.

The FiPy framework includes terms for transient diffusion, convection and
standard sources, enabling the solution of arbitrary combinations of
coupled elliptic, hyperbolic and parabolic PDEs. Currently implemented
models include phase field treatments of polycrystalline, dendritic, and
electrochemical phase transformations as well as a level set treatment of
the electrodeposition process.

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