# Glossary¶

AppVeyor

A cloud-based Continuous Integration tool. See https://www.appveyor.com.

Azure

A cloud-based Continuous Integration tool. See https://dev.azure.com.

Buildbot

The Buildbot is a system to automate the compile/test cycle required by most software projects to validate code changes. No longer used for FiPy. See http://trac.buildbot.net/.

CircleCI

A cloud-based Continuous Integration tool. See https://circleci.com.

conda

An open source package management system and environment management system that runs on Windows, macOS and Linux. Conda quickly installs, runs and updates packages and their dependencies. Conda easily creates, saves, loads and switches between environments on your local computer. It was created for Python programs, but it can package and distribute software for any language. See https://conda.io.

Continuous Integration

The practice of frequently testing and integrating one’s new or changed code with the existing code repository. See https://en.wikipedia.org/wiki/Continuous_integration.

FiPy

The eponymous software package. See http://www.ctcms.nist.gov/fipy.

Gmsh

A free and Open Source 3D (and 2D!) finite element grid generator. It also has a CAD engine and post-processor that FiPy does not make use of. See http://www.geuz.org/gmsh.

IPython

An improved Python shell that integrates nicely with Matplotlib. See http://ipython.scipy.org/.

linux

An operating system. See http://www.linux.org.

macOS

An operating system. See http://www.apple.com/macos.

Matplotlib

matplotlib Python package displays publication quality results. It displays both 1D X-Y type plots and 2D contour plots for structured data. It does not display unstructured 2D data or 3D data. It works on all common platforms and produces publication quality hard copies. See http://matplotlib.sourceforge.net and Matplotlib.

Mayavi

The mayavi Data Visualizer is a free, easy to use scientific data visualizer. It displays 1D, 2D and 3D data. It is the only FiPy viewer available for 3D data. Other viewers are probably better for 1D or 2D viewing. See http://code.enthought.com/projects/mayavi and Mayavi.

MayaVi

The predecessor to Mayavi. Yes, it’s confusing.

MPI

The Message Passing Interface is a standard that allows the use of multiple processors. See http://www.mpi-forum.org

mpi4py

MPI for Python provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. For Solving in Parallel, FiPy requires mpi4py, in addition to PETSc or Trilinos. See https://mpi4py.readthedocs.io.

numarray

An archaic predecessor to NumPy.

Numeric

An archaic predecessor to NumPy.

NumPy

The numpy Python package provides array arithmetic facilities. See http://www.scipy.org/NumPy.

OpenMP

The Open Multi-Processing architecture is a specification for a set of compiler directives, library routines, and environment variables that can be used to specify high-level parallelism in Fortran and C/C++ programs. See https://www.openmp.org.

pandas

“Python Data Analysis Library” provides high-performance data structures for flexible, extensible analysis. See http://pandas.pydata.org.

PETSc

The Portable, Extensible Toolkit for Scientific Computation is a suite of data structures and routines for the scalable (parallel) solution of scientific applications modeled by partial differential equations. See https://www.mcs.anl.gov/petsc and PETSc.

petsc4py

Python wrapper for PETSc. See https://petsc4py.readthedocs.io/.

pip

“pip installs python” is a tool for installing and managing Python packages, such as those found in PyPI. See http://www.pip-installer.org.

PyAMG

A suite of python-based preconditioners. See http://code.google.com/p/pyamg/ and PyAMG.

pyamgx

a Python interface to the NVIDIA AMGX library, which can be used to construct complex solvers and preconditioners to solve sparse sparse linear systems on the GPU. See https://pyamgx.readthedocs.io/ and pyamgx.

PyPI

The Python Package Index is a repository of software for the Python programming language. See http://pypi.python.org/pypi.

Pyrex

A mechanism for mixing C and Python code. See http://www.cosc.canterbury.ac.nz/greg.ewing/python/Pyrex/.

Pysparse

The pysparse Python package provides sparse matrix storage, solvers, and linear algebra routines. See http://pysparse.sourceforge.net and Pysparse.

Python

The programming language that FiPy (and your scripts) are written in. See http://www.python.org/.

Python 3

The (likely) future of the Python programming language. Third-party packages are slowly being adapted, but many that FiPy uses are not yet available. See http://docs.python.org/py3k/ and PEP 3000.

PyTrilinos

Python wrapper for Trilinos. See http://trilinos.sandia.gov/packages/pytrilinos/.

PyxViewer

A now defunct python viewer.

ScientificPython

A collection of useful utilities for scientists. See http://dirac.cnrs-orleans.fr/plone/software/scientificpython.

SciPy

The scipy package provides a wide range of scientific and mathematical operations. FiPy can use Scipy’s solver suite for linear solutions. See http://www.scipy.org/. and SciPy.

Sphinx

The tools used to generate the FiPy documentation. See http://sphinx.pocoo.org/.

TravisCI

A cloud-based Continuous Integration tool. See https://travis-ci.org.

Trilinos

This package provides sparse matrix storage, solvers, and preconditioners, and can be used instead of Pysparse. Trilinos preconditioning allows for iterative solutions to some difficult problems that Pysparse cannot solve. See http://trilinos.sandia.gov and Trilinos.

Weave

The weave package can enhance performance with C language inlining. See https://github.com/scipy/weave.

Windows

An operating system. See http://www.microsoft.com/windows.

Last updated on Jun 15, 2022. Created using Sphinx 5.0.1.