Hi Gaëtan, Il 22/04/2013 13:09, Gaëtan de Menten ha scritto: > Hello all, > > TL;DR: It would be nice to have online documentation for stable versions > and have pytables.github.io point to the doc for the latest stable release > by default. > ==== > > I just tried to use the new out= argument to table.read, only to find out > it did not work in my version (2.3.1).
please file a bug report for this. The out= parameter should be marked as ".. versionadded:: 3.0" > Then I tried to update my version to > 2.4 since I thought it was implemented in that version because of the > "2.4.0+1.dev" name at the top of the page which I thought meant "dev > version leading to 2.4", or maybe to "2.4.1", but certainly not the next > major release. I got even more confused because, after the initial failure > with my 2.3.1 release, I checked the release notes... which I thought were > for 2.4 because the title of the "release notes" page is "Release notes for > PyTables 2.4 series" when it is in fact for the next major version... > Gaëtan, we follow guidelines described in [1] for managing the development cycle. We choose a version number only when it is actually time to make a release. VERSION+1.dev just means the "development version (.dev) of the next stable release". > Here are a couple suggestions: > * doc for stable releases (default to latest stable), bonus points to be > able to switch easily from one version to another, a-la Python stdlib. I agree, in the future we will pay more attention to publish doc for the latest stable release on the main site > * change 2.4.0+1.dev to 3.0-dev or 3.0-pre, and all mentions of 2.4.x > * have new arguments to functions documented in the docstring for the > functions (like in Python stdlib): "new in pytables 3.0" in the docstring > for table.read() would have made wonders. please see comments above best regards [1] http://nvie.com/posts/a-successful-git-branching-model -- Antonio Valentino ------------------------------------------------------------------------------ Precog is a next-generation analytics platform capable of advanced analytics on semi-structured data. The platform includes APIs for building apps and a phenomenal toolset for data science. Developers can use our toolset for easy data analysis & visualization. Get a free account! http://www2.precog.com/precogplatform/slashdotnewsletter _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
