As I have received several encouraging emails of interested people, I'm excited to announce the availability of an experimental Numerical Python revision on the NumPy SourceForge site. I've placed it under the directoryname numpy2 (checkout that directory according to the CVS instructions). It is NOT COMPLETED yet, so only people interested in a particular view of a future arrayobject or who want to help fashion that view should check it out. Summary: It builds on the current NumPy. Operations should not change on the Python level. Important new operations will be added. C-API is changed but support for backward-near-compatibility is desired and sought after. Only an NDArray class and a Ufunc class along with standard operations on them is set for inclusion in the new development. Other components will be added modules. NDArray: This is a Python class with C-calls placed for speed of certain operations. It is built around a data object which can be any Python object exporting a buffer interface (including a buffer object) and a dimensions/strides object which is also relies on the buffer interface. A C-API gives C-users access to the pointers for this information for any subclass of NDArray. Ufunc: This is a Python class that encapsulates the N-D looping structure with the broadcasting rules. It will allow wrapping of fast C functions as well as Python functions. It basically consists of two attributes: a select function (for type coercion and specification) and a compute function that does the actual computation. Comments and feedback (and especially code) are welcomed. -Travis