Concurrent is not parallel - Part 2 (Ep. 143)

Episode 143 of the Data Science at Home podcast, hosted by Francesco Gadaleta, titled "Concurrent is not parallel - Part 2 (Ep. 143)" was published on March 13, 2021 and runs 15 minutes.

March 13, 2021 ·15m · Data Science at Home

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Summary

In plain English, concurrent and parallel are synonyms. Not for a CPU. And definitely not for programmers. In this episode I summarize the ways to parallelize on different architectures and operating systems. Rock-star data scientists must know how concurrency works and when to use it IMHO. Our Sponsors This episode is supported by Chapman’s Schmid College of Science and Technology, where master’s and PhD students join in cutting-edge research as they prepare to take the next big leap in their professional journey.To learn more about the innovative tools and collaborative approach that distinguish the Chapman program in Computational and Data Sciences, visit chapman.edu/datascience Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business. Useful Links http://web.mit.edu/6.005/www/fa14/classes/17-concurrency/ https://doc.rust-lang.org/book/ch16-00-concurrency.html https://urban-institute.medium.com/using-multiprocessing-to-make-python-code-faster-23ea5ef996ba

Episode Description

Rock-star data scientists must know how concurrency works and when to use it IMHO.

Our Sponsors

This episode is supported by Chapman’s Schmid College of Science and Technology, where master’s and PhD students join in cutting-edge research as they prepare to take the next big leap in their professional journey. To learn more about the innovative tools and collaborative approach that distinguish the Chapman program in Computational and Data Sciences, visit chapman.edu/datascience

Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.

Useful Links

http://web.mit.edu/6.005/www/fa14/classes/17-concurrency/

https://doc.rust-lang.org/book/ch16-00-concurrency.html

https://urban-institute.medium.com/using-multiprocessing-to-make-python-code-faster-23ea5ef996ba