Available release of Python library for scientific computing NumPy 1.20 , 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 using matrices. NumPy is one of the most popular libraries for scientific computing. The project code is written in Python with C optimizations and distributed under the BSD license.
In the new version:
- Added support for annotations types for most NumPy functions.
- Enhanced using SIMD instructions to speed up work ufuncs .
- Preliminary work has been done to change the dtype implementation and typecasting to make it easier to extend classes dtype .
- The documentation has been greatly improved.
- A cleanup has been made to remove Python 2.7 support to improve readability.
- Added initial support for a future release of the Cython 3.0 compiler ( Cython extends Python capabilities by means of direct calling functions in the C language, supports defining variables with language types C and allows you to compile the resulting Cython code into a C representation, which is then assembled by the standard system compiler).
/Media reports.