How do you keep documentation so nice?

[Adam Hughes]

Thanks Michael.

Be warned, only about 3 people are using the library at the moment, so it's
quite likely that you'll encounter some bugs just by virtue of using a new
dataset that probably will bring to light some considerations that we
overlooked.  In addition, I only support pandas 0.14 right now (0.15 has a
lot of private API changes that directly affect us).  But we did feel like
the library was close enough to ready to share it, and I hope you can try
it out.  If you do want to give it a whirl sometime soon, please feel free
to contact us at skspec at googlegroups.com (or me personally) and we will at
least make sure to help get you up and running.  Let us know what kind of
data you're working on and what type of analysis you're doing.  We've spend
a lot of time putting out datastructures together, but we haven't put a
great deal of thought into the actual spectral utilitiles, workflows and
analysis that we should host, other than correlation spectroscopy and base
things like dynamic baseline fitting.



On Wed, Dec 10, 2014 at 6:14 PM, Michael Aye <kmichael.aye at gmail.com> wrote:

> On 2014-12-10 02:43:46, Adam Hughes <hughes... at gmail.com> wrote:
>
>> > http://hugadams.github.io/scikit-spectra/
>>>>
>>>> That is a very impressive notebook widget shown in the video!  I love
>>>> how it interacts with mpl3d.
>>>>
>>>>
>>>> Ditto! Man, can't wait to play with this! Very happy that there's
> finally a package focusing on spectral analysis! It also just comes at the
> right time, just started in my new job working on data from an imaging
> spectrometer for the first time. ;)
>
> Michael
>
>
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