Saturday, December 19, 2020

Test and Code: 140: Testing in Scientific Research and Academia - Martin Héroux

Scientists learn programming as they need it.
Some of them learn it in college, but even if they do, that's not their focus.
It's not surprising that sharing the software used for scientific research and papers is spotty, at best.
And what about testing?
We'd hope that the software behind scientific research is tested.
But why would we expect that?
We're lucky if CS students get a class or two that even mentions automated tests.
Why would we expect other scientists to just know how to test their code?

Martin works in research and this discussion is about software and testing in scientific research and academia.

Special Guest: Martin Héroux.

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Support Test & Code : Python Testing for Software Engineering

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<p>Scientists learn programming as they need it.<br> Some of them learn it in college, but even if they do, that&#39;s not their focus.<br> It&#39;s not surprising that sharing the software used for scientific research and papers is spotty, at best.<br> And what about testing?<br> We&#39;d hope that the software behind scientific research is tested.<br> But why would we expect that?<br> We&#39;re lucky if CS students get a class or two that even mentions automated tests.<br> Why would we expect other scientists to just know how to test their code?</p> <p>Martin works in research and this discussion is about software and testing in scientific research and academia.</p><p>Special Guest: Martin Héroux.</p><p>Sponsored By:</p><ul><li><a href="https://ift.tt/2JDHRTz" rel="nofollow">PyCharm Professional</a>: <a href="https://ift.tt/2JDHRTz" rel="nofollow">Try PyCharm Pro for 4 months and learn how PyCharm will save you time.</a> Promo Code: TESTANDCODE20</li></ul><p><a href="https://ift.tt/2tzXV5e" rel="payment">Support Test & Code : Python Testing for Software Engineering</a></p><p>Links:</p><ul><li><a href="https://ift.tt/3oTUOhM" title="Python Testing with pytest: Simple, Rapid, Effective, and Scalable" rel="nofollow">Python Testing with pytest: Simple, Rapid, Effective, and Scalable</a></li><li><a href="https://ift.tt/2WHo5j7" title="Test Driven Development: By Example" rel="nofollow">Test Driven Development: By Example</a></li><li><a href="https://ift.tt/2WvASos" title="My reaction to "Is TDD Dead?" - Python Testing" rel="nofollow">My reaction to "Is TDD Dead?" - Python Testing</a></li><li><a href="https://ift.tt/37uslbH" title="MartinHeroux/pliffy: Plotting differences with Python" rel="nofollow">MartinHeroux/pliffy: Plotting differences with Python</a></li><li><a href="https://ift.tt/2qzcjK2" title="PyBites Code Challenges" rel="nofollow">PyBites Code Challenges</a></li><li><a href="https://ift.tt/2qOonbz" title="Python Morsels" rel="nofollow">Python Morsels</a></li><li><a href="https://twitter.com/martin_heroux" title="Martin Héroux (@martin_heroux) / Twitter" rel="nofollow">Martin Héroux (@martin_heroux) / Twitter</a></li><li><a href="https://ift.tt/2vaJuE8" title="Scientifically Sound" rel="nofollow">Scientifically Sound</a></li><li><a href="https://ift.tt/2WAFZDL" title="‪Martin Héroux‬ - ‪Google Scholar‬" rel="nofollow">‪Martin Héroux‬ - ‪Google Scholar‬</a></li><li><a href="https://ift.tt/3r8qaCu" title="spike2py · PyPI" rel="nofollow">spike2py · PyPI</a></li><li><a href="https://ift.tt/3apExfL" title="pytest-mpl · PyPI" rel="nofollow">pytest-mpl · PyPI</a></li></ul>

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