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Dear Zurich PyDatonians,
this month thanks to the gracious support of our fellow PyDatonian Joel, we will have the pleasure to be hosted by Zuehlke!
• NumPy v1.12.0 latest and greatest features (15min) - by Jaime Fernandez del Rio (NumPy core developer)
• Distributed machine learning with Dask and Scikit-Learn (15min) - by Gabriel Krummenbacher (Data Scientist, Züehlke) andJoel Akeret (Software Engineer, Züehlke)
"We will be showing how to leverage Dask to distribute the training of a machine learning model."
• Intro to the novel JET library (15min)by Orestis Zambounis (Core-Contributor)
"The JET library offers a simple way to make Python, and especially NumPy code run substantially faster. This is achieved by transparently converting Python/NumPy operations to performant C++." https://github.com/wolfv/pyjet
Are you interested about sharing sth with us in a 5min lightning talk? go here.
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