Tue. Jun 2nd, 2020

NumPy v1.19.0rc2 releases: fundamental package for scientific computing with Python

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NumPy is the fundamental package for scientific computing with Python. It contains among other things:

  • a powerful N-dimensional array object
  • sophisticated (broadcasting) functions
  • tools for integrating C/C++ and Fortran code
  • useful linear algebra, Fourier transform, and random number capabilities

NumPy

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

NumPy v1.19.0rc2 releases

Changelog

This NumPy release is marked by the removal of much technical debt:
support for Python 2 has been removed, many deprecations have been
expired, and documentation has been improved. The polishing of the
random module continues apace with bug fixes and better usability from
Cython.

The Python versions supported for this release are 3.6-3.8. Downstream
developers should use Cython >= 0.29.16 for Python 3.8 support and
OpenBLAS >= 3.7 to avoid problems on the Skylake architecture.

Highlights

  • Code compatibility with Python versions < 3.6 (including Python 2)
    was dropped from both the python and C code. The shims in
    numpy.compat will remain to support third-party packages, but they
    may be deprecated in a future release. Note that 1.19.x will not
    compile with earlier versions of Python due to the use of f-strings.

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