Dive into the world of parallelism with Thomas J. Fan, a Staff Software Engineer at Quansight Labs. Discover how popular Python libraries leverage parallelism for enhanced computational performance. Explore high-level interfaces, like multithreading and multiprocessing, as well as lower-level primitives such as pthreads and OpenMP. Learn about compilers like Cython and Numba that optimize computational routines. Gain insights into controlling core usage and preventing oversubscription. This talk is ideal for intermediate-level attendees seeking a deeper understanding of parallelism within the PyData stack.

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Harnessing Parallelism in Python Libraries for Enhanced Computation
1.05 GEEK