[SciPy-Dev] My Intro
Fri Apr 20 14:34:36 CDT 2012
On Wed, Apr 18, 2012 at 11:11 PM, Patrick "Kai" Baker <firstname.lastname@example.org
> That's excellent. Debugging sounds like a good start.
> I know C/C++ the most since they're my first languages. But I also know
> Python and would like to gain more working knowledge of it. As far as
> mathematics, I'm most familiar with analysis: calculus, differential
> equations, special functions, etc.
Special functions (scipy.special) are mostly written in C, its tests are in
Python of course. Pauli can perhaps give you more pointers for special, but
here's already a ticket with an issue that needs investigating (it came up
again today on scipy-user): http://projects.scipy.org/scipy/ticket/1453
scipy.integrate may also fit with your analysis background. Possible ticket
to start: http://projects.scipy.org/scipy/ticket/1572
Here's one that needs investigation in interpolate:
The above modules have more issues that require digging into compiled code
that issues with pure Python code I'd say. For pure Python code, stats may
be a good module:
The above are all bugs. There are also many tickets with enhancement
suggestions, looking at some of those could be interesting too.
> On Wed, Apr 18, 2012 at 4:59 PM, Ralf Gommers <email@example.com
> > wrote:
>> On Wed, Apr 18, 2012 at 10:33 PM, Pauli Virtanen <firstname.lastname@example.org> wrote:
>>> 18.04.2012 21:04, Patrick "Kai" Baker kirjoitti:
>>> > Thanks you two. Well, I got scipy installed and got git set up. Now I'm
>>> > real confused about what I can do. Documentation is one of them, which
>>> > will want to do once I become more familiar with the software. But as
>>> > far as coding goes, I'm not sure what needs to be done. Is there
>>> > anyplace I can go with a to-do list of things which needs to be done? I
>>> > looked around and haven't found anything like that so far.
>>> A to-do list is not written down anywhere (but that could be a part of
>>> the module status summary for the maintainers to write).
>>> We however do have a long list of bugs and issues to fix:
>>> Some of these are easier to do, others are difficult, and some require
>>> "deeper" knowledge of how the things work. There are also some feature
>>> requests mixed in.
>> Browsing those tickets may indeed give you a good impression of what
>> things there are to do. If you have preferences/interests, such as a
>> particular topic/module (optimization/interpolation/stats/etc) or language
>> (Python/Cython/C/C++/Fortran), we can give you more specific suggestions.
>> SciPy-Dev mailing list
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