Data. Homepage. Scripting Techniques for Scientific Computing. Combining the best of all worlds The goal of our project on "Scripting Techniques for Scientific Computing" is to develop software techniques for combining "the best of all worlds", i.e., combining different tools and programming languages, when building scientific applications.
As a simple example, one can think of using a C++ library for creating computational grids, a Fortran 77 library for solving a PDE, a C code for visualization, and the scripting language Python for gluing the other tools together in a high-level program, perhaps with an easy-to-use graphical interface. Mixed-language programming is possible in Fortran, Java, and C-like languages, but the support for such programming is much stronger in a scripting language like Python, first of all because scripting languages were intially designed for being integrated with C. Code re-use High-level tools for simplifying mixed-language integration. Octave Home Page. GNU Octave is a high-level interpreted language, primarily intended for numerical computations.
It provides capabilities for the numerical solution of linear and nonlinear problems, and for performing other numerical experiments. It also provides extensive graphics capabilities for data visualization and manipulation. Octave is normally used through its interactive command line interface, but it can also be used to write non-interactive programs. The Octave language is quite similar to Matlab so that most programs are easily portable. Octave is distributed under the terms of the GNU General Public License.