Menu
▾
▴
Re: [Matlab-emacs-discuss] the README file.
|
From: Alan F. <Ala...@ma...> - 2016-03-15 14:55:08
|
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 |
