Version 0.1 of #pywren, now with py3 support, experimental reduce and stand-alone mode, bug fixes, and a websitehttp://pywren.io/release-0.1.html …
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no but right now it's underpowered -- do you have opinions ? Would an associative reduce that did a tree aggregate be more usefl?
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I think this needs a higher bandwidth channel than Twitter but I probably do have opinions :)
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tl;dr though is yes: you can get a really long way with just associative & commutative reduce ops. Worth special casing.
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in particular the most important pattern IMO is: map input into some commutative semigroup; reduce; map to the actual result
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if you can make that as easy to express and efficient to run as possible, you're good
End of conversation
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