ports/math/py-numexpr/pkg-descr, branch main

Remove WWW entries moved into port Makefiles

2022-09-07T21:58:51Z

Commit b7f05445c00f has added WWW entries to port Makefiles based on WWW: lines in pkg-descr files. This commit removes the WWW: lines of moved-over URLs from these pkg-descr files. Approved by: portmgr (tcberner)

Update to 2.7.2

2021-01-03T20:08:04Z

Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst

Switch all pypi.python.org WWWs to a new PyPi home pypi.org where

2018-04-25T16:42:37Z

they now redirect to anyway. All new urls checked to return 200, I've fixed a couple of them in the process. Approved by: portmgr blanket, mat

- Update to 2.4.4

2015-10-04T19:01:07Z

- Update MASTER_SITES: move back to CHEESESHOP - Add LICENSE_FILE - Reformat pkg-descr and remove trailing space - Add PyPI as primary WWW Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst

- Update to 2.4

2015-03-21T20:07:17Z

- Update WWW Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst

numexpr - Fast numerical array expression evaluator for Python and NumPy.

2010-07-05T08:18:12Z

The numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. Also, numexpr has support for the Intel VML (Vector Math Library) -- integrated in Intel MKL (Math Kernel Library) --, allowing nice speed-ups when computing transcendental functions (like trigonometrical, exponentials...) on top of Intel-compatible platforms. This support also allows to use multiple cores in your computations. WWW: http://code.google.com/p/numexpr/ PR: ports/148372 Submitted by: Ju Pengfei Feature safe: yes