NumType documentation🔗
NumPy is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, random simulation and much more.
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User guide
The user guide provides in-depth information on the key concepts of NumType with useful background information and explanation.
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API reference
The reference guide contains a detailed description of the functions, modules, and objects included in NumType.
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Contributor's guide
Want to add to the codebase? The contributing guidelines will guide you through the process of improving NumType.