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.
Release of NumPy 1.18 defining and documenting the C-API for working with random samples, providing infrastructure for linking with 64-bit BLAS and LAPACK libraries, reworking the documentation and discontinuing support for some features that have long been deprecated. NumPy 1.18 is the last release supporting Python 3.5 (it's recommended to switch to Python 3.6, 3.7, and 3.8).
Source: opennet.ru
