release of the Python library for scientific computing , focused on working with multidimensional arrays and matrices, as well as providing a large collection of functions with the implementation of various algorithms related to the use of matrices. NumPy is one of the most popular libraries used for scientific computing. The project code is written in Python using C optimizations and under the BSD license.
NumPy 1.18 release defining and documenting the C-API to work with random samples, provide an infrastructure for linking to the 64-bit BLAS and LAPACK libraries, rework documentation, and deprecate some features that were deprecated a long time ago. NumPy 1.18 is the last release to support Python 3.5 (it is recommended to upgrade to Python 3.6, 3.7 and 3.8).
Source: opennet.ru