1 The fundamental package needed for scientific computing with Python is
2 called NumPy. This package contains:
4 * a powerful N-dimensional array object
5 * sophisticated (broadcasting) functions
6 * basic linear algebra functions
7 * basic Fourier transforms
8 * sophisticated random number capabilities
9 * tools for integrating Fortran code.
11 NumPy derives from the old Numeric code base and can be used as a
12 replacement for Numeric. It also adds the features introduced by numarray
13 and can also be used to replace numarray.
15 Note: Development for Numeric has ceased, and users should transisition to
16 NumPy as quickly as possible.
18 WWW: http://www.numpy.org/