What's the solution for Python exploratory analysis of data too big for memory but nowhere near big enough for Hadoop? Does that exist yet?
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Replying to @adamlaiacano
@adamlaiacano@tdhopper one thing I was trying to do with https://github.com/avibryant/simmer … was provide a (unixy, language-independent) answer to that1 reply 1 retweet 3 likes -
Replying to @avibryant
@avibryant@tdhopper That looks rad. Do you use it often? seems like a tricky input format.2 replies 0 retweets 0 likes -
Replying to @adamlaiacano
@adamlaiacano@avibryant@tdhopper +1, and wondering the same thing2 replies 0 retweets 0 likes -
Replying to @abestanway
@abestanway@adamlaiacano@tdhopper we use it for some statsd-like stuff inside Stripe, but not that much. Very open to suggested changes.1 reply 0 retweets 0 likes -
Replying to @avibryant
@avibryant@abestanway@tdhopper My use case would be much more simple. Something like this: https://gist.github.com/alaiacano/6244611 …2 replies 0 retweets 0 likes
@adamlaiacano @abestanway @tdhopper yes, one way I can see simmer moving is away from specifying per-key aggregates and towards... (1/2)
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