Release of the Python library for scientific computing , focused on handling multidimensional arrays and matrices, and providing a large collection of functions implementing various algorithms related to the use of matrices. NumPy is one of the most in-demand libraries used for scientific calculations. The project code is written in Python with optimizations in C and under the BSD license.
In NumPy 1.19, support for Python 3.5 has been discontinued and code for compatibility with Python 2 has been removed (the numpy.compat layer is still left). Supported versions are Python 3.6, 3.7, and 3.8. Development of the module has continued for working with random samples. Improved support for NumPy wheel packages on Aarch64 architecture and when using the Python implementation . functionality of numpy.frompyfunc, np.str_, numpy.copy, numpy.linalg.multi_dot, numpy.count_nonzero, and numpy.array_equal. Enhanced CPU capability detection, such as AVX support. Introduced a 5-7 times faster implementation based on AVX512, used for input data of type np.float64.
Source: opennet.ru
