/explore
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sebastianraschka.com | ||
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hadrienj.github.io
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| | | | | 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
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| | | | | 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
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| | | | | 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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bloeys.com
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| | | In 'Thought 2: Regex is Like Assembly' I wondered why we are still doing regex in this kind of hard to understand, symbolic way, when we have already invented high level programming languages. There is no reason regex can't be written as clearly as any other programming language we use today. I thought doing this would be an interesting project, and so I came up with Regexl, a high level language for writing regex, that can be used as a simple library. | ||
