Scaling Python with Dask by Holden Karau and Mika Kimmins

Author:Holden Karau and Mika Kimmins
Language: eng
Format: epub, mobi, pdf
Publisher: O'Reilly Media, Inc.
Published: 2022-03-09T00:00:00+00:00

npy stacks (only local disk)

And reading from and writing to:

hdf5

zarr

tiledb

npy stacks (local disk only)

In addition, to file formats, you can convert Dask Arrays to/from Dask bags and DataFrames (provided the types are compatible). As you may have noted, Dask does not support reading arrays from as many formats as you might, which can be an excellent use of bags (covered in the next section).

What’s Missing

While Dask Arrays implement a large amount of the ndarray APIs this is not a complete set. Like with Dask DataFrames, some of this is intentional (e.g. sort much of linalg, etc.) which would be slow, and other parts are just missing because no one has had the time to implement them yet.

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