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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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Technology
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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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10/10 C++: Wrapping it up
UCL for Code in Research
38 minutes
9 months ago
10/10 C++: Wrapping it up
In this last episode of the companion podcast for the C++ course at UCL, I invited both Klaus Iglberger and Marc Hartung (Dive, Berlin) to go through some aspects of parallel computing. But also to look a little bit ahead of what's in store for C++ in future standards. And how the language may help you in your career. Links: https://www.youtube.com/watch?v=NReDubvNjRg&list=PLY_qIufNHc2-Dk9IVNtgoF4uhKRszjJPz Cpp Conference (Cpp Con) Back to basics YouTube 2023https://www.youtube.com/watch?...
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...