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  1. 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.

  2. 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.

  3. 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 …

  4. Comparison between Modin | Dask | Data.table - Stack Overflow

    May 27, 2021 · dask was the first, has large eco-system and looks really well documented, discussed in forums and demonstrated on videos. modin (ray) has some design choices which allow it to be more …

  5. Dask: How would I parallelize my code with dask delayed?

    Mar 2, 2017 · This is my first venture into parallel processing and I have been looking into Dask but I am having trouble actually coding it. I have had a look at their examples and documentation and I think d...

  6. 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)?

  7. python - Why does dask take long time to compute regardless of the …

    Mar 24, 2022 · The reason dask dataframe is taking more time to compute (shape or any operation) is because when a compute op is called, dask tries to perform operations from the creation of the …

  8. 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...

  9. Force dask to_parquet to write single file - Stack Overflow

    Apr 8, 2020 · 7 When using dask.to_parquet(df, filename) a subfolder filename is created and several files are written to that folder, whereas pandas.to_parquet(df, filename) writes exactly one file. Can I …

  10. dask: difference between client.persist and client.compute

    Jan 23, 2017 · More pragmatically, I recommend using persist when your result is large and needs to be spread among many computers and using compute when your result is small and you want it on just …