[Chicago] Data export ?

Daniel Fehrenbach dnfehrenbach at gmail.com
Fri Sep 4 16:52:54 CEST 2015

A couple other options that I have tried in various projects -



I don't think that either one will get you all of the requirements that
you've listed but they could make manipulating and exporting tabular data
easier and (for me) don't have as steep a learning curve or as opinionated
of a work style as pandas.

On Fri, Sep 4, 2015 at 6:27 AM, Tanya Schlusser <tanya at tickel.net> wrote:

> I'm looking for a library or some online tool similar to how bootstrap is
>> transforming html..to do the following with data:  [list of tasks...]
> Try Pandas (PANel Data Analysis Suite). Here's the full API
> <http://pandas.pydata.org/pandas-docs/stable/api.html>. It provides
> Series, Data Frame, and Panel objects for containing and transforming data,
> and does all of the things you ask except for queueing and cron jobs, which
> can be done using `sched` or celery, respectively.
> The caveat is it relies on NumPy so if you're on windows you need a Visual
> C++ (nonfree version) for 100% compatibility or the Gnu C compiler (for
> like 99% compatibiity) or the Anaconda distribution
> <http://continuum.io/downloads>. (Anaconda bought us food last month.
> They rock.)
> For the other  platforms binary wheels exist on PyPi and so  `pip install
> pandas` will just work.
> The below just link to the diffrent relevant sections in the API according
> to your questions
> 1. SQL connection options
> <http://pandas.pydata.org/pandas-docs/stable/api.html#sql>
> 2. Column fields, etc..
> <http://pandas.pydata.org/pandas-docs/stable/api.html#attributes-and-underlying-data>.
> columnwise string functions
> <http://pandas.pydata.org/pandas-docs/stable/api.html#string-handling>
> 3. Export to csv / xls
> <http://pandas.pydata.org/pandas-docs/stable/api.html#id12>
> And for the scheduling / queueing:
> 4. Scheduling is in the standard library already
> <https://docs.python.org/3/library/sched.html>
> 5. Here's an awesome task queues for python tutorial
> <http://www.fullstackpython.com/task-queues.html>
> Cheers,
> Tanya
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