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Profile, Optimize, Repeat: One Core Is All You Need™

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Logo of EuroPythonEuroPython
 Nieper, Valentin Striebel, Jonathan

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Profile, Optimize, Repeat: One Core Is All You Need™
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You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this
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Your data analysis pipeline works. Nice! Could it be faster? Probably. Do you need to parallelize? Not yet. Discover optimization steps that boost the performance of your data analysis pipeline on a single core, reducing time & costs. This walkthrough shows tools to identify bottlenecks via profiling, and strategies to mitigate those, demonstrating them in an example. To improve our memory and runtime performance we will use numpy, numba jit-ing and pybind11 extensions.