netstandard2.0 true true Haiping Chen, Christian Kahr, Darren Schroeder NumPy is the fundamental package for scientific computing with dot NET. NumSharp has implemented the arange, array, max, min, reshape, normalize, unique and random interfaces and so on. More and more interfaces will be added to the library gradually. If you want to use .NET to get started with machine learning, NumSharp will be your best tool library. https://github.com/Oceania2018/NumSharp Apache 2.0 https://github.com/Oceania2018/NumSharp Performance improved for np.arange. Added axis support for np.amin and np.amax. Separate PowerShell extension project. Added IronPython extension project. Remove all dynamic variable. Added benchmark project. Remove all LINQ syntax due to low performance. Added Span for memory access. Added np.sqrt. Added np.normal Implemented IEnumerable interface for NDArray. Updated online documents. 0.4.0.0 0.4.0.0 git NumPy, NumSharp, MachineLearning, Math, Scientific, Numeric 0.4.0 https://raw.githubusercontent.com/Oceania2018/NumSharp/master/LICENSE latest https://avatars3.githubusercontent.com/u/44989469?s=200&v=4 NumSharp NumSharp NETFRAMEWORK win-x86 NETSTANDARD NETCORE DEBUG;TRACE