Maybe a good time to repost this link: 
https://github.com/JuliaLang/julia/blob/master/CONTRIBUTING.md#improving-documentation
 
<https://www.google.com/url?q=https%3A%2F%2Fgithub.com%2FJuliaLang%2Fjulia%2Fblob%2Fmaster%2FCONTRIBUTING.md%23improving-documentation&sa=D&sntz=1&usg=AFQjCNFSu7VhGC5GE6j_5KDAKIdtnBsG4Q>

As I understand it, the julia documentation format is still an evolving 
entity. Google-searching in R works well because of the massive number of 
google searches / site visits to R pages. When I started using R, during my 
PhD in 2006, it was almost impossible to google R functions, and there were 
all kinds of (not very functional) search engines to bring up R results. 
Today everybody just googles it. I feel completely confident that julia 
will have the same development, and a lot faster.

Den fredag den 12. februar 2016 kl. 13.16.08 UTC+1 skrev J Luis:
>
> One main 'dislike' I find in the documentation is that, contrary to Matlab 
> and R examples that have one page for each function, in julia we have lots 
> of functions per page with short and often cryptic descriptions. Example
>
> std(*v*[, *region*])
>
> Compute the sample standard deviation of a vector or array v, optionally 
> along dimensions in region.
>
> To have longer and, VERY IMPORTANT, usage examples one need a per function 
> page manual.
>
> sexta-feira, 12 de Fevereiro de 2016 às 11:10:54 UTC, Milan Bouchet-Valat 
> escreveu:
>>
>> Le vendredi 12 février 2016 à 09:51 +0100, Michele Zaffalon a écrit : 
>> > But the original point is still valid: using the search box in the 
>> > official documentation page http://docs.julialang.org/en/release-0.4, 
>> > searching for "standard deviation" does not bring up any useful hit, 
>> > despite the fact that Base.std is fairly well documented and contains 
>> > the words standard deviation. 
>> > Is there a reason why it should work at the REPL but not in the 
>> > webpage? 
>> Searching for "deviation" works, so it's quite mysterious that 
>> "standard deviation" doesn't... Looks like a bug in the Sphinx search 
>> engine. 
>>
>> Google's behavior is really weird too. Even a query like "standard 
>> deviation julia site:docs.julialang.org" gives the manual page home for 
>> the standard library first (even if it doesn't contain "deviation"), as 
>> well as pages mentioning "standard error". Maybe some pages are not 
>> indexed at all? Could something be tweaked in the Sphinx configuration? 
>>
>>
>> Regards 
>>
>> > 
>> > On Fri, Feb 12, 2016 at 9:25 AM, Mauro <[email protected]> wrote: 
>> > > Also at the Julia REPL: 
>> > > 
>> > >     julia> apropos("standard deviation") 
>> > >     randn! 
>> > >     stdm 
>> > >     std 
>> > >     randn 
>> > > 
>> > >     help?> std 
>> > >     search: std stdm STDIN STDOUT STDERR setdiff setdiff! hist2d 
>> > > hist2d! stride strides StridedArray StridedVector StridedMatrix 
>> > > StridedVecOrMat redirect_stdin 
>> > > 
>> > >       std(v[, region]) 
>> > > 
>> > >       Compute the sample standard deviation of a vector or array v, 
>> > > optionally along dimensions in region. The algorithm returns an 
>> > > estimator of the generative 
>> > >       distribution's standard deviation under the assumption that 
>> > > each entry of v is an IID drawn from that generative distribution. 
>> > > This computation is equivalent to 
>> > >       calculating sqrt(sum((v - mean(v)).^2) / (length(v) - 1)). 
>> > > Note: Julia does not ignore NaN values in the computation. For 
>> > > applications requiring the handling of 
>> > >       missing data, the DataArray package is recommended. 
>> > > 
>> > > Having said this, documentation always needs improvements and is 
>> > > certainly not on Matlab's level of completeness.  Please contribute 
>> > > where you find it lacking.  See 
>> > > https://github.com/JuliaLang/julia/blob/master/CONTRIBUTING.md#impr 
>> > > oving-documentation 
>> > > 
>> > > 
>> > > On Fri, 2016-02-12 at 09:18, NotSoRecentConvert <[email protected]> 
>> > > wrote: 
>> > > > You can even download the entire thing as a PDF, HTML, or EPUB if 
>> > > you want 
>> > > > to highlight, annotate, or bookmark your most searched functions. 
>> > > Look in 
>> > > > the lower right of the page for "v: latest" and click it for more 
>> > > options. 
>> > > > 
>> > > > On Friday, February 12, 2016 at 8:03:27 AM UTC+1, Lutfullah Tomak 
>> > > wrote: 
>> > > >> 
>> > > >> There is this one 
>> > > >> 
>> > > >> http://docs.julialang.org/en/release-0.4/stdlib/math/#Base.std 
>> > > >> 
>> > > >> Instead of google, I use this manual for search. 
>> > > >> 
>> > > >> 
>> > > 
>>
>

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