Path: csiph.com!usenet.pasdenom.info!news.redatomik.org!newsfeed.xs4all.nl!newsfeed7.news.xs4all.nl!newsgate.cistron.nl!newsgate.news.xs4all.nl!post.news.xs4all.nl!not-for-mail Return-Path: X-Original-To: python-list@python.org Delivered-To: python-list@mail.python.org X-Spam-Status: OK 0.001 X-Spam-Evidence: '*H*': 1.00; '*S*': 0.00; 'subject:Python': 0.05; 'friday,': 0.07; 'pypy': 0.07; 'received:openend.se': 0.09; 'received:theraft.openend.se': 0.09; 'roger': 0.09; 'url:pypy': 0.09; 'files.': 0.13; '>on': 0.16; 'americans': 0.16; 'from:addr:lac': 0.16; 'from:addr:openend.se': 0.16; 'from:name:laura creighton': 0.16; 'graphing': 0.16; 'libraries?': 0.16; 'loops': 0.16; 'measuring': 0.16; 'message- id:@fido.openend.se': 0.16; 'numpy': 0.16; 'received:89.233': 0.16; 'received:89.233.217': 0.16; 'received:89.233.217.133': 0.16; 'received:fido': 0.16; 'received:fido.openend.se': 0.16; 'unhappy': 0.16; 'url:speed': 0.16; 'wrote:': 0.16; 'laura': 0.18; '2015': 0.20; 'aug': 0.20; 'header:In-Reply-To:1': 0.24; 'compare': 0.27; 'fri,': 0.27; '-0700,': 0.29; 'awake': 0.29; 'matplotlib': 0.29; 'received:se': 0.29; 'url:mailman': 0.30; 'anyone': 0.32; 'generally': 0.32; 'run': 0.33; 'url:listinfo': 0.34; 'done': 0.35; 'but': 0.36; 'should': 0.36; 'url:org': 0.36; 'email addr:python.org': 0.36; 'depends': 0.36; 'faster': 0.36; 'to:addr:python-list': 0.36; 'subject:: ': 0.37; 'really': 0.37; 'charset:us-ascii': 0.37; 'doing': 0.38; 'no,': 0.38; 'url:mail': 0.40; 'to:addr:python.org': 0.40; 'your': 0.60; 'header:Message- Id:1': 0.61; 'discuss': 0.61; 'email addr:gmail.com': 0.62; 'day,': 0.65; 'python-list': 0.66; 'august': 0.75; 'received:89': 0.80; "'it": 0.84; 'url:scipy': 0.84; 'utc-4,': 0.84; 'results,': 0.91 To: python-list@python.org From: Laura Creighton Subject: Re: Python speed In-Reply-To: Message from beliavsky--- via Python-list of "Fri, 07 Aug 2015 09:57:26 -0700." <04b7cdd0-1eb0-4378-9d14-38e97b4456a7@googlegroups.com> References: <2261c8c6-77ba-453d-9205-0a922fa67c81@googlegroups.com><04b7cdd0-1eb0-4378-9d14-38e97b4456a7@googlegroups.com> MIME-Version: 1.0 Content-Type: text/plain; charset="us-ascii" Content-ID: <7811.1438967857.1@fido> Content-Transfer-Encoding: quoted-printable Date: Fri, 07 Aug 2015 19:17:37 +0200 X-Greylist: Sender IP whitelisted, not delayed by milter-greylist-4.3.9 (theraft.openend.se [89.233.217.130]); Fri, 07 Aug 2015 19:18:20 +0200 (CEST) X-BeenThere: python-list@python.org X-Mailman-Version: 2.1.20+ Precedence: list List-Id: General discussion list for the Python programming language List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Newsgroups: comp.lang.python Message-ID: Lines: 33 NNTP-Posting-Host: 2001:888:2000:d::a6 X-Trace: 1438967902 news.xs4all.nl 2832 [2001:888:2000:d::a6]:44802 X-Complaints-To: abuse@xs4all.nl Xref: csiph.com comp.lang.python:95134 In a message of Fri, 07 Aug 2015 09:57:26 -0700, beliavsky--- via Python-l= ist w rites: >On Friday, August 7, 2015 at 10:08:37 AM UTC-4, roge...@gmail.com wrote: >> Can anyone compare PyNum calculation speed to Fortran? >> = >> This is for a number crunching program working with large files. >> = >> Roger And for speed you may be better off with PyPy than with NumPy http://speed.pypy.org/timeline/ but, as is always the case when measuring the speed of things, 'it all depends on what you are doing'. Do you need to link to existing Fortran or C libraries? If the answer is no, and you really only are doing crunching, and your crunching is done in loops which run for a significant amount of time -- then PyPy is generally faster than Fortran. If you are spending most of your time in matplotlib graphing your results, you will be unhappy with PyPy performance. pypy-dev@python.org is a better place to discuss performance of PyPy, though while http://mail.scipy.org/mailman/listinfo/numpy-discussion is a better place to discuss numpy. scipy.org has been down all day, alas. But the Americans should be awake now and dealing with it. Laura