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PyArmadillo is a user-friendly linear algebra and scientific computing library for Python, with Matlab-like syntax
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Provides objects for matrices and cubes, as well as over 200 associated functions for manipulating data stored in the objects
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Integer, floating point and complex elements are supported
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Various matrix factorisations are provided through integration with LAPACK, or one of its high performance drop-in replacements (Intel MKL or OpenBLAS)
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Can be used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc
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How to install: pyarma.sourceforge.io
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Git repo: gitlab.com/jason-rumengan/pyarma
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API Documentation: pyarma.sourceforge.io/docs.html
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streamlined linear algebra library for Python - https://pyarma.sourceforge.io
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streamlined linear algebra library for Python - https://pyarma.sourceforge.io