From: Hubert H. <Hub...@fr...> - 2013-08-16 22:37:09
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Paris (U.E.), le 17/08/2013 Bonsoir Both on my old (PPC) Mac at work and on my (somewhat) more recent (Intel) Mac at home, I install from source (no homebrew, Fink, MacPorts or whatever, though these are great to-have items!): latest stable release for Python itself (2.7 & 3.3), the rest from repositories. I guess I am lucky not to have run into a wall, or perhaps just plain stubborn… There is perhaps a lack of functionality (I have not delved into IPython notebooks, and Tcl/Tk usually is a nightmare for my old box), but for what I have, or want, to do, it just works. I should add that at work I am behind a really "thick" firewall, so I pay close attention to all dependencies and install these before what depends on them (obviously!, though there are (partly) circular references which require more work); I do sometimes have to download at home and transfer via key… At any rate, a well-documented (I just whent ahead and kept no notes… sorry!) installation roadmap would really be a usefull thing. And thanks for the great woks which goes into matplotlib (it really made my life more bearable)! Hubert Holin On 16 août 2013, at 16:42, Jens Nielsen <jen...@gm...> wrote: > On my mac box I'm just using homebrew www.brew.sh to install the latest python along with all non python dependencies and the python dependencies via pip. This seems to work great most of the time. > > Jens > > > On Fri, Aug 16, 2013 at 3:32 PM, Michael Droettboom <md...@st...> wrote: > We actually discussed this very issue yesterday in our Google hangout about continuous integration. We're probably going to need to script a full setup from a clean Mac + XCode to a working matplotlib development environment in order to make that happen, and obviously that will be shared with the world. Things are even more complex on Windows, and I'd like to do that there, too. So stay tuned. > > Mike > > > On 08/16/2013 10:02 AM, Paul Hobson wrote: >> Mike, >> >> That's great news. Is there any chance we can look forward to "official" instructions for setting up a Mac to develop matplotlib? >> >> I gave up a long time ago and started piecing to together my meager PRs in a linux VM. >> -paul >> >> >> On Fri, Aug 16, 2013 at 6:52 AM, Michael Droettboom <md...@st...> wrote: >> Thanks to the gracious donation from Hans Petter Langtangen and the >> Center for Biomedical Computing at Simula (http://home.simula.no/~hpl), >> I now have a new Mac Mini sitting at my desk. This should allow me to >> keep on top of changes that affect the Mac builds and to better track >> down Mac-only issues. >> >> Stay tuned over the next few weeks and months as we will most likely be >> using some more of these funds to pay for hosted continuous integration >> services (as discussed yesterday in our MEP19 Google Hangout). >> >> Cheers, >> Mike >> >> >> >> ------------------------------------------------------------------------------ >> Get 100% visibility into Java/.NET code with AppDynamics Lite! >> It's a free troubleshooting tool designed for production. >> Get down to code-level detail for bottlenecks, with <2% overhead. >> Download for free and get started troubleshooting in minutes. >> http://pubads.g.doubleclick.net/gampad/clk?id=48897031&iu=/4140/ostg.clktrk >> _______________________________________________ >> Matplotlib-devel mailing list >> Mat...@li... >> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel >> > > > ------------------------------------------------------------------------------ > Get 100% visibility into Java/.NET code with AppDynamics Lite! > It's a free troubleshooting tool designed for production. > Get down to code-level detail for bottlenecks, with <2% overhead. > Download for free and get started troubleshooting in minutes. > http://pubads.g.doubleclick.net/gampad/clk?id=48897031&iu=/4140/ostg.clktrk > _______________________________________________ > Matplotlib-devel mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-devel > > > ------------------------------------------------------------------------------ > Get 100% visibility into Java/.NET code with AppDynamics Lite! > It's a free troubleshooting tool designed for production. > Get down to code-level detail for bottlenecks, with <2% overhead. > Download for free and get started troubleshooting in minutes. > http://pubads.g.doubleclick.net/gampad/clk?id=48897031&iu=/4140/ostg.clktrk_______________________________________________ > Matplotlib-devel mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-devel |