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UCL for Code in Research
Peter Schmidt
20 episodes
3 weeks ago
In this last episode of this course, I talk to Itamar Turner-Trauring who created the website PythonSpeed and spent a considerable time on finding ways to make Python code faster and more efficient. Python and its ecosystem also have great tools how you can measure performance. Links: https://pythonspeed.com a set of articles and recommendations on how to improve your performancehttps://blog.sentry.io/python-performance-testing-a-comprehensive-guide/ a general blog post on performance testing...
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All content for UCL for Code in Research is the property of Peter Schmidt and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
In this last episode of this course, I talk to Itamar Turner-Trauring who created the website PythonSpeed and spent a considerable time on finding ways to make Python code faster and more efficient. Python and its ecosystem also have great tools how you can measure performance. Links: https://pythonspeed.com a set of articles and recommendations on how to improve your performancehttps://blog.sentry.io/python-performance-testing-a-comprehensive-guide/ a general blog post on performance testing...
Show more...
Technology
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3/10 Throw, try, catch...test
UCL for Code in Research
31 minutes
11 months ago
3/10 Throw, try, catch...test
Exceptions are essentials, as are error codes. Writes Bjarnes Stroustrup. And so on our 3rd stop through C++ I talk about what you could do when things go wrong. And what you can do to prevent errors - with testing. My guest is, again Klaus Iglberger. The sounds you're hearing are from the excellent https://sound-effects.bbcrewind.co.uk BBC sound library - free of use for non-commercial purposes. Links: https://en.wikipedia.org/wiki/Exception_handling_(programming)https://www.open-std...
UCL for Code in Research
In this last episode of this course, I talk to Itamar Turner-Trauring who created the website PythonSpeed and spent a considerable time on finding ways to make Python code faster and more efficient. Python and its ecosystem also have great tools how you can measure performance. Links: https://pythonspeed.com a set of articles and recommendations on how to improve your performancehttps://blog.sentry.io/python-performance-testing-a-comprehensive-guide/ a general blog post on performance testing...