I think it is a great idea. I have found that there are number of useful coding ideas in Numpy that would be off interest also for non-Python users. One example is accessing Fortran 90 structures from C in a compiler independent way though it is well known fact that the layout of these structures depends on a compiler or even of compiler version. On 9/30/06, Travis Oliphant <oliphant@ee.byu.edu> wrote:
1) Do you like the idea ?
+1
2) Could you help (i.e. as an editor, reviewer, etc.)?
+1 Pearu
Most scientific journals I know don't take code very seriously, even if a paper is based entirely on numerical simulations. The code is not reviewed, only the results and the analysis, which does not make much sense IMHO. So until science journals start to review and publish code (which make take a while), a Journal of Computational Science would be a great place to submit the code and get a review, before submitting the results and analysis to domain specific journals. These articles could then cite the Computational Science related articles, as a token of a reviewed numerical implementation (this also makes for great publicity, and a good deal of citation hits). Also, the procedure for submitting and reviewing articles could be based on svn. For each submitted article, you get an svn access, commit the code and the article, wait for the reviewers to send comments and bugs, commit the revision so the reviewers know exactly what are the changes to the previous version (svn diff). Overall, I think this is an opportunity to force good programming habits on scientists, improve the quality of software, and ensure the accessibility of code (after many hours of frustration spent trying to find code from published articles, emailing authors at old adresses, etc.). +1 +1, David P.S. There is a new journal named Computational Science and Discovery which seems to have just appeared and is probably a direct competitor. http://www.iop.org/EJ/journal/CSD 2006/10/2, pearu@cens.ioc.ee <pearu@cens.ioc.ee>:
I think it is a great idea. I have found that there are number of useful coding ideas in Numpy that would be off interest also for non-Python users. One example is accessing Fortran 90 structures from C in a compiler independent way though it is well known fact that the layout of these structures depends on a compiler or even of compiler version.
On 9/30/06, Travis Oliphant <oliphant@ee.byu.edu> wrote:
1) Do you like the idea ?
+1
2) Could you help (i.e. as an editor, reviewer, etc.)?
+1
Pearu
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