Scientific Tools for Python
SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The core library is NumPy which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results,
give SciPy a try!
Python and Scientific Computing
NumPy and SciPy are two of many open-source packages for scientific computing that use the Python programming language. This website is a portal for all scientific computing with Python, not just NumPy and SciPy. See the index under Topical Software in the navigation bar.
SciPy is nearing completion of a major overhaul. The new SciPy features high performance for both small and large arrays, and rich syntactic functionality for both. This effort is mostly done. We are now beating the bugs out of the various platform builds to make stable binary installs. Documentation is also well underway.
Index of Python packages for scientific computing
Download NumPy / SciPy
This is a community effort. We seek volunteers at all levels of ability to work on the project, from coding and packaging to documentation, tutorials, recipes, and the web site. Visit the Developer Zone if you are interested in helping out.
