33 karma · joined October 11, 2011
Spreadsheets are awesome because they let us organize analysis visually which more programming-based quantitative tools cannot.
This makes everything easier, including auditing. But someone's still got to do it.
We want to move to a bigger space in downtown NY but we need to break our five-year lease. So we either moving within the building (no broker) or find a replacement for our space (broker simultaneously places us and fills our space). Hard to imagine 42floors helping us this time 'round.
Figured out the following technologies on the fly: Python for the machine learning part, the backend and web scraping (after I finally gave up on SOAP), SQLite, HTML/CSS, PHP (after giving up on Django), Apache web server, FTP protocol (for backing up my stuff to my external drive). There are probably other things I tried and gave up on but forget.
I definitely went down a LOT of blind alleys and generally found out-of-the-box frameworks incomprehensible. The difference in the various communities was fascinating, too. For instance, try comparing forum answers to CSS or PHP questions against Python or, gasp, C. Holy cow.
*The result, if anyone cares, was that I figure they systematically overestimate High temps, underestimate low temps and overestimate POP.
EDIT: forgot javascript/jquery.
Fertile land does not equal Obama votes.
Like all other manufacturing technologies.
The "search for the next Steve Jobs" is a pretty active market. I predict competition for this show.
Who do we want to have higher status, Jony Ive or Noreen Krall?
http://appleinsider.com/articles/12/09/10/apples_chief_couns...
-Carl Sagan
Dragon moms all over the world weep with envy over this boy.
If Grid can simply view other spreadsheet formats (even stripped of formulas and formatting), you'll get a lot of looks from the business world.
http://scienceblogs.com/startswithabang/2011/12/13/the-large...
and...
This happens infrequently, unpredictably and, sometimes, for short periods of time. Real shoppers are probably still better off going direct.
Probably also worth speculating on why this is happening NOW. Why is this breaking out of CS departments in 2011 and not 2002?
The datasets are new.
Bandwidth? Storage capacity? Computing power? All of the above?