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How could I make my code work parallelize with dask?
First import some packages:
import numpy as np
from dask import delayed
Suppose I have two NumPy arrays:
a1 = np.ones(5000000)
a2 = np.ones(8000000)
I would like to show the sum and length of the tw...
Liang Ce
Votes: 0
Answers: 0
Using dask to return more than one dataframe
I am using read_csv() to read a long list of csv files and return two dataframes.
I have managed to speed up this action by using dask. Unfortunately, I have not been able to return multiple variables...
Tanjil
Votes: 0
Answers: 1
how to create writable shared array in dask
I'm new to Dask
what i'm trying to find is "shared array between processes and it needed to be writable by any proccess"
could someone can show me that?
Top
a way to implement shared writabl...
mr-suroot
Votes: 0
Answers: 1
Fast method to match geospatial datasets in Python
I have a set of 2000 geospatial points (lon/lat), which I need to match with several other geospatial datasets (I am using Geopandas GeoDataFrames). I am using the sklearn BallTree function to find th...
jchristiaanse
Votes: 0
Answers: 1