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sebastianraschka.com | ||
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hadrienj.github.io
This introduction to scalars, vectors, matrices and tensors presents Python/Numpy code and drawings to build a better intuition behind these linear algebra b... |
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datascience.blog.wzb.eu
Modern computers are equipped with processors that allow fast parallel computation at several levels: Vector or array operations, which allow to execute similar operations simultaneously on a bunch... |
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tothepoles.co.uk
There is a Jupyter Notebook accompanying this post HERE. NumPy is a Python package built around the concept of ndarrays (n-dimensional arrays) along with a suite of efficient functions for applying operations over those arrays. Many of the other important packages for data scientists are built on top of NumPy (e.g. Pandas, scikit-learn). In the... |
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florimond.dev
A memo on implementing parametrized decorators whose default behavior doesn't require empty parentheses. |
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