We are pleased to announce the release of NumPy 1.0.2 NumPy is a Python extension that provides a general-purpose multi-dimensional array that can act as a container of arbitrary raw-data formats (including bools, integers, floats, complex, Python objects, string, unicode, and general C-structures). NumPy also provides fast array processing and mathematics on these multi-dimensional arrays. In addition, NumPy provides tools that allows these arrays to form the foundation for basic image and signal processing, linear algebra and Fourier transforms, and random number generation. NumPy also includes easy integration with ctypes and Fortran allowing seamless use of NumPy arrays with extensions written in either C/C++ or Fortran.
The new support in NumPy for completely general (including nested structure) data-types allows it to be used as a container object for any number of applications where memory efficiency and speed are critical. For example, the ability to handle general data-formats means that NumPy could be used as an interface to general databases (see PyTables for one example). Get the latest version of NumPy by clicking on the Download link at http://numpy.scipy.org Enjoy!! -NumPy Developers -- http://mail.python.org/mailman/listinfo/python-list
