From: dl <fri...@ho...> - 2016-03-16 19:34:57
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github understands README.org as readme. no need to use markdown. Example: https://github.com/jkitchin/org-ref/blob/master/README.org <https://github.com/jkitchin/org-ref> On Tue, Mar 15, 2016 at 3:54 PM, Alan Frankel <Ala...@ma...> wrote: > I use org. However, it makes sense to use Markdown format for the file, > since that's standard procedure on GitHub. If you can learn org, you can > definitely learn Markdown. One introduction can be found at Daring Fireball: > > https://daringfireball.net/projects/markdown/basics > > and if you do an Internet search for "GitHub Help Markdown", you'll find > information about the "GitHub flavored" variant, though you probably don't > need to worry about that. > > -----Original Message----- > From: Torben Knudsen [mailto:tk...@es...] > Sent: Monday, March 14, 2016 2:37 AM > To: Uwe Brauer <ou...@ma...>; matlab-emacs < > mat...@li...> > Subject: Re: [Matlab-emacs-discuss] the README file. > > I use org daily so I am happy with org. However, I newer met anybody else > that uses org. I don't know the md format. > > Associate Prof. Ph.D Torben Knudsen Mobile : (+45) 2787 9826 > Section of Automation and Control, > Department of Electronic Systems, Email : tk...@es... > Aalborg University Web : es.aau.dk/staff/tk > Fredrik Bajersvej 7 > DK-9220 Aalborg Ø > Denmark > > ________________________________________ > Fra: Uwe Brauer [ou...@ma...] > Sendt: 12. marts 2016 20:14 > Til: matlab-emacs > Emne: [Matlab-emacs-discuss] the README file. > > Hi > > I just upgraded (a bit) the README file and changed its format to > README.org since this is a very popular package and makes reading and > writing the file easier. However I could also > > - provide README.md the markdown version, which is may be more > suited for github. > > - in addition just the simple README file. > > The later seems to me a slight overkill, > > Opinions please. > > Uwe Brauer > > > ------------------------------------------------------------------------------ > Transform Data into Opportunity. > Accelerate data analysis in your applications with Intel Data Analytics > Acceleration Library. > Click to learn more. > http://pubads.g.doubleclick.net/gampad/clk?id=278785111&iu=/4140 > _______________________________________________ > Matlab-emacs-discuss mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matlab-emacs-discuss > > > ------------------------------------------------------------------------------ > Transform Data into Opportunity. > Accelerate data analysis in your applications with Intel Data Analytics > Acceleration Library. > Click to learn more. > http://pubads.g.doubleclick.net/gampad/clk?id=278785231&iu=/4140 > _______________________________________________ > Matlab-emacs-discuss mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matlab-emacs-discuss > > > ------------------------------------------------------------------------------ > Transform Data into Opportunity. > Accelerate data analysis in your applications with > Intel Data Analytics Acceleration Library. > Click to learn more. > http://pubads.g.doubleclick.net/gampad/clk?id=278785231&iu=/4140 > _______________________________________________ > Matlab-emacs-discuss mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matlab-emacs-discuss > > |