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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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...
Parallel programming is a huge, exciting and evolving field. Together with my guest Marc Hartung from Dive in Berlin, Germany, we try to cover some aspects of it: including OpenMP, how to synchronise data etc. Links: https://en.cppreference.com/w/cpp/language/memory_model the C++ memory modelhttps://www.openmp.org OpenMP home pagehttps://www.openmp.org/resources/openmp-compilers-tools/ Compilers for OpenMPhttps://gcc.gnu.org/projects/gomp/ the GNU OpenMP compilerhttps://en.wikipedia.org...
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...
