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Clueless in Berkeley







Clueless in Berkeley

Clueless in Berkeley 07/12/2004 04:07 PM

I have written before of my love for my favorite feature in the Berkeley Daily Planet, the Police Blotter. Today while reading it, I ran across this absolute gem which caused me to lose a mouthful of hot Peet's coffee in front of the Cheeseboard. Knife-Wielder Earns Cellular Domicile A 48-year-old Berkeley man found himself with a new and tightly confined residence after police busted him for flashing a knife at a fellow citizen near the corner of Center Street and Martin Luther King Jr. Way at 9:37 a.m. Friday. The felon seems to have overlooked that building on the corner and all those blue-clad badge-wearing folks who pass through its portals en route to their black-and-white cars. (For those of you unfamiliar with Berkeley geography, our new police headquarters is at the corner of MLK and Center.) How do you get a job writing stuff like this? I want one. It made my day....




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Clueless in Berkeley

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In Wired's July issue, Contributing writer Cory Doctorow writes about the movie I, Robot, in a slam at the late Dr. Isaac Asimov titled Rise of the Machines. I would rather Wired had found someone who had actually read more than two or three Asimov short stories. There is a lot in this article that is debatable but presented as concrete fact, and other "facts" which are downright false.

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I'd never done anything with Berkeley DB before, but luckily Python has a module which seems to do all of the hard work for me:

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Some digging around turned up the real information: the Berkeley DB Tutorial and Reference Guide, which contains pretty much everything you could possible want to know about the technology. It turns out that at a basic level Berkeley DB is just a very high performance, reliable way of persisting dictionary style data structures - anything where a piece of data can be stored and looked up using a unique key. The key and the value can each be up to 4 gigabytes in length and can consist of anything that can be crammed in to a string of bytes, so what you do with it is completely up to you. The only operations available are "store this value under this key", "check if this key exists" and "retrieve the value for this key" so conceptually it's pretty simple - the complicated stuff all happens under the hood.

It seems like a great alternative to a full on relational database for simple applications, although I'm slightly confused by the license which allows free use for open source products but requires a license for commercial applications. Does that mean that if I use the bsddb Python module in a commercial app I need to get a license from Sleepycat?


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David Pescovitz: In this month's issue of my research digest ScienceMatters@Berkeley...
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I took my absentee ballot over to my polling place in Berkeley this morning around 11 AM to drop it off. The polling place has the dreadful Diebold touch screen machines that are known to be extremely vulnerable to fraud. There was about a 10 minutes wait, then people were being asked "Paper or Machine". About half the people chose paper, and there was a long table at one end of the polling place where people were sitting and filling out the paper ballots (no real secrecy possible, but on the other hand no one had to use the table). I went by the Cheeseboard on my way home. Downtown and North Berkeley were empty in a way they never are at 11 AM on a weekday -- I'm guessing and hoping that lots of people are either in a battleground state or were at home calling voters to encourage them to vote....
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