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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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1/10 C++ - An Introduction
UCL for Code in Research
38 minutes
11 months ago
1/10 C++ - An Introduction
This first episode is about introducing C++, where it started, how it evolved. You will hear from 2 practitioners: Klaus Iglberger (C++ coach/trainer) and Marc Hartung (tech lead at Dive in Berlin). Here are a few links for you to follow up on: https://www.stroustrup.com The Home Page of Bjarne Stroustrup who created C++. There are plenty of links for you to followhttps://isocpp.org/std/the-standard The C++ standard homepage https://www.mn.uio.no/tjenester/it/hjelp/programvare/simula/ve...
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...