Hi Terri,
It might also be worth checking out the workshop from this years pycon from Eria ma: Best Testing Practices for Data Science, on yotube here - https://www.youtube.com/watch?v=yACtdj1_IxE The github repo is here: https://github.com/ericmjl/data-testing-tutorial Cheers, Jeremy On Fri, Jul 14, 2017 at 5:21 PM, Olav Vahtras <[email protected]> wrote: > Dear Terri > > In addition I can recommend the following resource: > > pythontesting.net has a podcast series on testing and more, check out the > new book on pytest by the site maintainer Brian Okken > > Regards > Olav > > > > Olav > > 14 juli 2017 kl. 21:36 skrev Ashwin Srinath <[email protected]>: > > > > If you're using Python, numpy.testing has the tools you'll need: > > > > https://docs.scipy.org/doc/numpy/reference/routines.testing.html > > > > There's also pandas.testing for testing code that uses Pandas. > > > > Thanks, > > Ashwin > > > >> On Fri, Jul 14, 2017 at 3:27 PM, Terri Yu <[email protected]> wrote: > >> Hi everyone, > >> > >> Are there any resources that explain how to write unit tests for > scientific > >> software? I'm writing some software that processes audio signals and > there > >> are many parameters. I'm wondering what's the best way to test floating > >> point numeric results. > >> > >> Do I need to test every single parameter? How can I verify accuracy of > >> numeric results... use a different language / library? I would like to > do a > >> good job of testing, but I also don't want to write a bunch of > semi-useless > >> tests that take a long time to run. > >> > >> I would appreciate any thoughts you have. > >> > >> Thank you, > >> > >> Terri > >> > >> _______________________________________________ > >> Discuss mailing list > >> [email protected] > >> http://lists.software-carpentry.org/listinfo/discuss > > _______________________________________________ > > Discuss mailing list > > [email protected] > > http://lists.software-carpentry.org/listinfo/discuss > _______________________________________________ > Discuss mailing list > [email protected] > http://lists.software-carpentry.org/listinfo/discuss >
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