Headers of the Linux kernel.

Primal-dual, or pd in short, implements an algorithm for computing the vertex representation from the facet representation of a convex polytope, and vice versa. It uses one direction as an oracle for the other one, so it is meant to work well when other algorithms face a difficult direction (and should be avoided for the easy direction).

The GNU Scientific Library is a library for numerical analysis in C and C++. It includes a wide range of mathematical routines, with over 1000 functions in total. Subject areas covered by the library include: differential equations, linear algebra, Fast Fourier Transforms and random numbers.

Vinci implements a number of volume computation algorithms for convex polytopes in arbitrary dimension. The polytopes can be given by their V-representation (as the convex hull of a finite number of vertices), by their H-representation (as the bounded intersection of a finite number of halfspaces) or by their double description with both representations.

The C code of lrslib implements the reverse search algorithm for vertex enumeration and convex hull problems. Its input file format is compatible with cddlib. All computations are done exactly in either multiple precision or fixed integer arithmetic. Output is not stored in memory, so even problems with very large output sizes can sometimes be solved.

Qhull computes the convex hull, Delaunay triangulation, Voronoi diagram, halfspace intersection about a point, furthest-site Delaunay triangulation, and furthest-site Voronoi diagram. The source code runs in 2-d, 3-d, 4-d, and higher dimensions. Qhull implements the Quickhull algorithm for computing the convex hull. It handles roundoff errors from floating point arithmetic. It computes volumes, surface areas, and approximations to the convex hull.

Qhull does not support triangulation of non-convex surfaces, mesh generation of non-convex objects, medium-sized inputs in 9-D and higher, alpha shapes, weighted Voronoi diagrams, Voronoi volumes, or constrained Delaunay triangulations.

Perl is a general-purpose programming language originally developed for text manipulation and now used for a wide range of tasks including system administration, web development, network programming, GUI development, and more.

Perl is a general-purpose programming language originally developed for text manipulation and now used for a wide range of tasks including system administration, web development, network programming, GUI development, and more.

rpy2 is a redesign and rewrite of rpy. It is providing a low-level interface to R from Python, a proposed high-level interface, including wrappers to graphical libraries, as well as R-like structures and functions.

Nose extends the unittest library to make testing easier.

Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions.

The last bugfix release of the Python 2.4 series, which started with 2.4.0, released on 2004-11-30. Python 2.5 was released on 2006-09-19.

NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, useful linear algebra, Fourier transform, and random number capabilities.

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.

Setuptools is a fully-featured, stable library designed to facilitate packaging Python projects, where packaging includes:

• Python package and module definitions

• distribution package metadata

• test hooks

• project installation

• platform-specific details.

The last bugfix release of the Python 2.4 series, which started with 2.4.0, released on 2004-11-30. Python 2.5 was released on 2006-09-19.

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Some of its key distinguishing features include: clear, readable syntax; strong introspection capabilities; intuitive object orientation; natural expression of procedural code; full modularity, supporting hierarchical packages; exception-based error handling; and very high level dynamic data types.

Pyx is a Python package for the generation of PostScript, PDF, and SVG files. It combines an abstraction of the PostScript drawing model with a TeX/LaTeX interface. Complex tasks like 2d and 3d plots in publication-ready quality are built out of these primitives.

Numarray and Numeric were the predecessors of NumPy. Numarray was created as an alternative to Numeric because the latter was cumbersome to use when efficiency for large array operations was a priority. Howver, numarray was less efficient for small arrays, and thus could not replace Numeric. Many packages of the early SciPy ecosystem supported both Numeric and numarray, with the choice made at build time.

NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, useful linear algebra, Fourier transform, and random number capabilities.

NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, useful linear algebra, Fourier transform, and random number capabilities.

This package is mostly for people who want to have argparse on older Pythons because it was not part of the standard library back then.

The dateutil module provides powerful extensions to the standard datetime module, available in Python 2.3+.

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Some of its key distinguishing features include: clear, readable syntax; strong introspection capabilities; intuitive object orientation; natural expression of procedural code; full modularity, supporting hierarchical packages; exception-based error handling; and very high level dynamic data types.