[racket] How can I speed up this code?

Forgive my Python-naïveté, but is Python perhaps constructing a lazy input
stream and managing to return quickly by simply not parsing anything yet?
Or are you able to actually run some function on the whole file, get a
result, and still return nearly immediately while Racket takes something
like a minute?

Carl Eastlund


On Mon, Jan 14, 2013 at 11:12 AM, J G Cho <gcho at fundingmatters.com> wrote:

> Dear performance experts,
>
> With the news of math library in Racket and the goal of improving my
> data analysis skill, I have started going over the examples in book
> "Python for Data Anyalysis" by McKinney using both Python and Racket.
> Too early to tell which is preferable for me. But I do have one
> "problem" with Racket that I would like to resolve before going on
> further.
>
> Here is the detail.
>
> Python:
>
> First I load the data
>
> # It looks like this at the top level;
> # structured differently from the example in the book.
> data_set = {
> "meta": {},
> "data": []
> }
>
> import json
>
> # read in the json data downloaded from
> #
> https://explore.data.gov/Information-and-Communications/1-USA-gov-Short-Links/wzeq-n5pg
> with open("usagov_bitly_data.json") as f:
>     data_set = json.load( f )
>
>
> And then I go do the usual slice and dice....
>
> My work flow is to edit the file and either run it inside Sublime Text
> 2 or ipython --pylab. (v 2.7 via EPD package running on Win 7 on
> fairly new and powerful Dell.) There is a brief pause before I see the
> output in the screen.
>
>
>
> I run the following in DrRacket (v5.3):
>
> #lang racket
>
> (require json)
>
> (define data-set
>   (call-with-input-file "usagov_bitly_data.json"
>     (lambda (in)
>       (read-json in))))
>
>
> It takes sometime (more than a few sips of tea) where edit-run cycle
> is not workable.
>
> I initially thought maybe the json library was the cause and tried
> writing the parsed data out as .sexp and then reading that in. It did
> not resolve the speed issue for me. I now work with a smaller subset
> of data when I work with Racket.
>
> Any suggestions?
>
> jGc
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