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.
The eponymous software package. See http://www.ctcms.nist.gov/fipy.
An operating system. See http://www.linux.org.
An operating system. See http://www.apple.com/macos.
matplotlibPython 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.
mayaviData 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.
The predecessor to Mayavi. Yes, it’s confusing.
The Message Passing Interface is a standard that allows the use of multiple processors. See http://www.mpi-forum.org
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.
An archaic predecessor to NumPy.
An archaic predecessor to NumPy.
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.
“Python Data Analysis Library” provides high-performance data structures for flexible, extensible analysis. See http://pandas.pydata.org.
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.
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.
A mechanism for mixing C and Python code. See http://www.cosc.canterbury.ac.nz/greg.ewing/python/Pyrex/.
- Python 3¶
A now defunct python viewer.
A collection of useful utilities for scientists. See http://dirac.cnrs-orleans.fr/plone/software/scientificpython.
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.
weavepackage can enhance performance with C language inlining. See https://github.com/scipy/weave.
An operating system. See http://www.microsoft.com/windows.