That is a reasonable want; it may take Anderson some time to institute 
scholarships for expertise in Julia
If you were already expert with Julia, what would you have your students 
doing?


  for expertThat is a reasonable want.  As an alternative, Anderson is not 
offering scholarships earmarked for Julia experts. 

On Wednesday, February 10, 2016 at 3:49:47 PM UTC-5, ivo welch wrote:
>
>
> indeed.  thank you, josh.  I would add a final chapter at 
>
> http://docs.julialang.org/en/release-0.4/
>
> with a set of links to various further resources, examples, full 
> stand-alone programs, etc.  for me, at least, the perl cookbook and sets of 
> self-contained snippet programs to start with, were the main reason why I 
> learned perl many years ago.
>
> the key problem to my use of julia over R for my students is that I do not 
> have a resident julia expert at UCLA.  this won't change anytime soon, 
> because they are hard to find (hire) :-(.  this google forum is great, but 
> it's scary to switch without a double hull.  many, many full *working* 
> standalone examples are the next best thing for me.
>
> regards,
>
> /iaw
>
>
> ----
> Ivo Welch ([email protected] <javascript:>)
> http://www.ivo-welch.info/
> J. Fred Weston Distinguished Professor of Finance
> Anderson School at UCLA, C519
> Free Finance Textbook, http://book.ivo-welch.info/
> Exec Editor, Critical Finance Review, 
> http://www.critical-finance-review.org/
> Editor and Publisher, FAMe, http://www.fame-jagazine.com/
>
> On Wed, Feb 10, 2016 at 10:25 AM, Josh Day <[email protected] 
> <javascript:>> wrote:
>
>> I think a lot of what you're looking for already exists.  It's just that 
>> things like "run a regression according to variable names" wouldn't belong 
>> in base Julia.  If you haven't already, I'd take a look at StatsBase.jl, 
>> DataFrames.jl, and GLM.jl.
>>
>>
>> http://dataframesjl.readthedocs.org/en/latest/io.html#importing-data-from-tabular-data-files
>> https://github.com/JuliaStats/GLM.jl
>>
>>
>>
>> On Wednesday, February 10, 2016 at 10:58:37 AM UTC-5, ivo welch wrote:
>>>
>>>
>>> ladies and gents---I am not (yet) a julia user.
>>>
>>> may I suggest adding more examples into two places where julia users 
>>> will face starting hurdles?
>>>
>>> [1] the I/O docs of julia.  like, reading and writing csv files that are 
>>> compressed and decompressed on-the-fly, even if not in the ultimate 
>>> efficient manner.    a large fraction of the time and frustration of new 
>>> users is consumed by the task of shoehorning data into and out of new 
>>> computer languages.  with all of R's problem, the ' d <- read.csv("f.csv")' 
>>> and 'd<-read.csv(pipe(paste("gzcat ", fname)))' reduced this entry 
>>> frustration greatly.  perhaps xml file reading and writing.  perhaps...
>>>
>>> [2] more 'standard task' programs would be great.  read a csv file, run 
>>> a regression according to variable names on the command line, print output, 
>>> draw a graph.  I know there are fragments throughout the docs, but some 
>>> section with ready to run complete programs would be good, perhaps at the 
>>> end of the manual.
>>>
>>> in a year, I hope to switch my students from R to julia.
>>>
>>> regards,
>>>
>>> /iaw
>>>
>>>
>

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