Thanks for the information. Here is a short list of what I have found confusing : a) on http://www.stackless.com/wiki/Mercurial :It is not clear if the version numbers are not up to date or if it is the right revisions for that versions. In my opinion it should be clear how to choose the latest stable releases. b) choosing the right revision number seems impossible : so many available when browsing the sources (for example what means default? where is 2.7.6?) and then I tried to infer from the precompiled and in some cases I failed (2.7.6.r3, 3.1.3-slp, if I remember well). c) on http://www.stackless.com/wiki/Download the version numbers of the precompiled do not always match the already installed CPython 2.7.6 for os 10.9 when it is actually 2.7.5. Hope this help, Denis > Date: Tue, 6 May 2014 17:11:38 +1200 > From: richard.m....@gmail.com > To: stackless@stackless.com > Subject: Re: [Stackless] Stackless on macos x > > Denis, > > Despite what the website says, Stackless can be as simple as you want > to make it. > > Use the same compiler that is used by Python. Use the same revision > tags as Python but with the added 'slp'. > > If you find the website confusing please point out where it is > confusing and ideally the particular words you find confusing on it. > > Cheers, > Richard. > > On 5/6/14, Denis Fourt <denis.p...@hotmail.com> wrote: > > Hi, > > I would like to try stackless. I am using macos 10.9 presently (in case of > > trouble I can still use 10.6). There is no ready to use installer that match > > the version of the already installed (by apple) python, so I do not think > > this is the best way (even if the versions had matched I would have avoided > > it, CPython does not replace the original, why Stackless should?) > > I can download the sources or clone the repository, but :I do not know which > > revision/branch/tag to use (the information on the web site looks a bit out > > dated)I do not know which compiler to use : clang or the old gcc4.2if the > > compiler choice has an impact later when installing packages. > > An alternative would be to use PyPy : for what reasons should I prefer > > Stackless (not taking into account the fact that some Python packages like > > numpy do not work with PyPy)? > > Thanks for the help, > > Denis > > _______________________________________________ > Stackless mailing list > Stackless@stackless.com > http://www.stackless.com/mailman/listinfo/stackless
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