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pythonspeed.com | ||
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tomaugspurger.net
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| | | | | This post describes a few protocols taking shape in the scientific Python community. On their own, each is powerful. Together, I think they enable for an explosion of creativity in the community. Each of the protocols / interfaces we'll consider deal with extending. NEP-13: NumPy __array_ufunc__ NEP-18: NumPy __array_function__ Pandas Extension types Custom Dask Collections First, a bit of brief background on each. NEP-13 and NEP-18, each deal with using the NumPy API on non-NumPy ndarray objects. For example, you might want to apply a ufunc like np.log to a Dask array. | |
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accessibleai.dev
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| | | | | Let's see how Anaconda helps you get a standardized Python data science environment up and running on your machine in minutes. | |
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wesmckinney.com
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lakefs.io
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| | | Discover what an Iceberg catalog is, its role, different types, challenges, and how to choose and configure the right catalog. Read on to learn more. | ||
