<div class="gmail_quote"><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div>I think the original topic of this discussion is numpy, not scipy.</div>
The answer is that I don't know. I am sure that people will<br>
reimplement whatever module is needed, or design a generic but slower<br>
way to interface with C a la cpyext, or write a different C API, or<br>
rely on Cython versions of their libraries and have Cython support in<br>
PyPy... or more likely all of these approaches and more.<br></blockquote><div><br></div><div><div class="gmail_quote">Great discussion... Any idea how "micro" the micronumpy implementation will be? Numpy includes matrix multiplication, eigenvalue decomposition, histogramming, etc. For all the people meaning Scipy when they get excited for a Numpy implementation, their feature of choice may be included in Numpy after all.</div>
<div><br></div><div class="gmail_quote"><blockquote class="gmail_quote" style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0.8ex; border-left-width: 1px; border-left-color: rgb(204, 204, 204); border-left-style: solid; padding-left: 1ex; ">
</blockquote></div></div></div>