Re:Intel brings a six-core i9 CPU to laptops
by pletnes on Tuesday April 03, 2018 @01:51PM
(#16747225)
Same story for me, give or take a few percent. I have to recommend dask for python though, it made out of memory errors largely disappear for me. It allows parallel processing of disk-size datasets with the convenience of in-memory datasets (almost).
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Re:Intel brings a six-core i9 CPU to laptops
by joshu on Tuesday April 03, 2018 @04:32PM
(#16748827)
Holy cow, dask looks useful
Re:Intel brings a six-core i9 CPU to laptops
by pletnes on Tuesday April 03, 2018 @05:45PM
(#16749634)
The most impressive is how easy it is to use. Basically just reuse of the numpy API.
Re:Intel brings a six-core i9 CPU to laptops
by FridgeSeal on Tuesday April 03, 2018 @10:46PM
(#16751485)
They replicate the Pandas API, not the numpy one. Just for clarity's sake.
Re:Intel brings a six-core i9 CPU to laptops
by tkxxx7 on Tuesday April 03, 2018 @11:30PM
(#16751650)
What a peculiar comment. Their homepage has examples of both - with Numpy first.
Re:Intel brings a six-core i9 CPU to laptops
by FridgeSeal on Wednesday April 04, 2018 @03:15AM
(#16752679)
Really? It's been a while since I've used it, and I remember a good portion of the documentation talking about how they replicate some, but not all of Pandas' API's (because of the sheer number of them).
They've probably updated it since then...