notbugAs an Amazon Associate I earn from qualifying purchases.
Want a good read? Try FreeBSD Mastery: Jails (IT Mastery Book 15)
Want a good monitor light? See my photosAll times are UTC
Ukraine
This referral link gives you 10% off a Fastmail.com account and gives me a discount on my Fastmail account.

Get notified when packages are built

A new feature has been added. FreshPorts already tracks package built by the FreeBSD project. This information is displayed on each port page. You can now get an email when FreshPorts notices a new package is available for something on one of your watch lists. However, you must opt into that. Click on Report Subscriptions on the right, and New Package Notification box, and click on Update.

Finally, under Watch Lists, click on ABI Package Subscriptions to select your ABI (e.g. FreeBSD:14:amd64) & package set (latest/quarterly) combination for a given watch list. This is what FreshPorts will look for.

non port: math/py-numexpr/pkg-plist

Number of commits found: 4

Friday, 14 Feb 2014
19:43 sunpoet search for other commits by this committer
- Add LICENSE
- Use PYDISTUTILS_AUTOPLIST
- Remove post-patch:
Original commitRevision:344306 
Monday, 2 Sep 2013
12:50 sunpoet search for other commits by this committer
- Update to 2.2
- Do not use setuptools

Changes:	http://code.google.com/p/numexpr/wiki/ReleaseNotes
Original commitRevision:325983 
Wednesday, 30 Jan 2013
19:51 sunpoet search for other commits by this committer
- Update to 2.0.1
- Cleanup Makefile header
- Sort PLIST

Changes:	http://code.google.com/p/numexpr/wiki/ReleaseNotes
Original commitRevision:311266 
Monday, 5 Jul 2010
08:18 wen search for other commits by this committer
numexpr - Fast numerical array expression evaluator for Python and NumPy.

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 <jupengfei@gmail.com>
Feature safe:   yes
Original commit

Number of commits found: 4