python - Why does Dask perform so slower while multiprocessing …
Sep 6, 2019 · 36 dask delayed 10.288054704666138s my cpu has 6 physical cores Question Why does Dask perform so slower while multiprocessing perform so much faster? Am I using Dask the wrong …
Unable to use dask-sql due to 'dask_expr.io' module
Jul 7, 2025 · However, since dask 2025.1.0 release, dask-expr was merged in Dask. It is possible that latest versions of dask or dask-expr package are not well supported by dask-sql.
Reading an SQL query into a Dask DataFrame - Stack Overflow
May 24, 2022 · I'm trying create a function that takes an SQL SELECT query as a parameter and use dask to read its results into a dask DataFrame using the dask.read_sql_query function.
How to transform Dask.DataFrame to pd.DataFrame?
Aug 18, 2016 · How can I transform my resulting dask.DataFrame into pandas.DataFrame (let's say I am done with heavy lifting, and just want to apply sklearn to my aggregate result)?
How to Set Dask Dashboard Address with SLURMRunner (Jobqueue) …
Dec 17, 2024 · I am trying to run a Dask Scheduler and Workers on a remote cluster using SLURMRunner from dask-jobqueue. I want to bind the Dask dashboard to 0.0.0.0 (so it’s accessible …
Dask concat on multiple dataframe axis=1 - Stack Overflow
Dec 18, 2024 · import dask.dataframe as dd from dask.distributed import Client import sys import os import glob import time # Start the timer start_time = time.time() # Connect to the Dask distributed …
python - Difference between dask.distributed LocalCluster with threads ...
Sep 2, 2019 · What is the difference between the following LocalCluster configurations for dask.distributed? Client(n_workers=4, processes=False, threads_per_worker=1) versus …
How to read a csv and process rows using dask? - Stack Overflow
Jan 11, 2019 · I want to read a 28Gb csv file and print the contents. However, my code: import json import sys from datetime import datetime from hashlib import md5 import dask.dataframe as dd …
How to see progress of Dask compute task? - Stack Overflow
I would like to see a progress bar on Jupyter notebook while I'm running a compute task using Dask, I'm counting all values of id column from a large csv file +4GB, so any ideas? import dask.datafr...
dask: looping over groupby groups efficiently - Stack Overflow
Mar 25, 2025 · for name in set(ddf['groupby_column'].unique().compute()): group = ddf[ddf['groupby_column'].eq(name)].compute() # Process each group This approach computes the …