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| | sebastianraschka.com
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| | I'm Sebastian: a machine learning & AI researcher, programmer, and author. As Staff Research Engineer Lightning AI, I focus on the intersection of AI research, software development, and large language models (LLMs).
| | 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.
| | pythonspeed.com
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| | Polars is an alternative to Pandas than can often run faster-and use less memory!
| | www.gregreda.com
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| Part one of a three part introduction to the pandas library. Geared towards SQL users, but is useful for anyone wanting to get started with pandas.