The Python language has extension frameworks such as NumPy and SciPy for providing functionality involving numerical arrays and scientific computing. However, in contrast to the well-established Matlab language, these frameworks can be perceived as being verbose and cumbersome to use. To address these shortcomings, we propose PyArmadillo, a streamlined linear algebra library for Python, with an emphasis on ease of use. PyArmadillo aims to provide a high-level syntax and functionality deliberately similar to Matlab/Octave, allowing mathematical operations to be expressed in a familiar and natural manner. Objects for matrices and cubes are provided, as well as over 200 associated functions for manipulating data stored in the objects. Integer, floating point and complex numbers are supported. Various matrix factorisations are provided through integration with LAPACK, or one of its high performance drop-in replacements such as Intel MKL or OpenBLAS. PyArmadillo is open-source software, distributed under the Apache 2.0 license; it can be obtained at https://pyarma.sourceforge.io or via the Python Package Index in precompiled form.

中文翻译：

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PyArmadillo：Python的简化线性代数库

Python语言具有诸如NumPy和SciPy之类的扩展框架，用于提供涉及数值数组和科学计算的功能。但是，与完善的Matlab语言相比，这些框架使用起来很冗长和繁琐。为了解决这些缺点，我们提出了PyArmadillo，这是一种用于Python的简化线性代数库，着重于易用性。PyArmadillo旨在提供故意类似于Matlab / Octave的高级语法和功能，从而允许以熟悉且自然的方式表达数学运算。提供了用于矩阵和多维数据集的对象，以及用于处理存储在对象中的数据的200多个相关函数。支持整数，浮点数和复数。通过与LAPACK或其高性能嵌入式替代产品之一（例如Intel MKL或OpenBLAS）集成，可以提供各种矩阵分解。PyArmadillo是开源软件，根据Apache 2.0许可进行分发；可以在https://pyarma.sourceforge.io上获得，也可以通过预编译形式的Python包索引来获得。