Just a note: <div><br></div><div><div class="gmail_quote"><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">OT things i would like to see in scipy, if anybody has too much time:<br>

* non-negative matrix factorization<br></blockquote><div><br></div><div><div>NMF is already available in scikit-learn. </div><div> </div></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">

* a data fitting function, aka curve_fit on steroids. Maybe lmfit, kaptyn or<br>
mpfit.<br>
* an bouded linear least squares solver, like bvls.<br>
* Bayesian frequency estimation<br>
* NFFT</blockquote><div><br></div><div>Cheers,</div><div>Eraldo  </div></div><br></div>