dask 2024.4.1

Parallel PyData with Task Scheduling

Stars: 11954, Watchers: 11954, Forks: 1666, Open Issues: 1048

The dask/dask repo was created 9 years ago and the last code push was 7 hours ago.
The project is extremely popular with a mindblowing 11954 github stars!

How to Install dask

You can install dask using pip

pip install dask

or add it to a project with poetry

poetry add dask

Package Details

Author

None

License

BSD-3-Clause

Homepage

None

PyPi:

https://pypi.org/project/dask/

GitHub Repo:

https://github.com/dask/dask

Classifiers

• Scientific/Engineering
• System/Distributed Computing

Related Packages

Errors

A list of common dask errors.

Code Examples

Here are some dask code examples and snippets.

GitHub Issues

The dask package has 1048 open issues on GitHub

• Better error message for unsupported Array reshape operations
• Apply eager predicate-pushdown optimizations in Dask-DataFrame
• dask.array.core.map_blocks mis-handles kwargs in task name
• Pin coverage in CI
• gpuCI out of memory error
• Really allow any iterable to be passed as a meta
• Downgrade meta error in #8563 to warning
• Create dashboard documentation page
• Dropped Support for Custom Metadata Types
• AttributeError: 'DataFrame' object has no attribute 'name'; Various stack overflow / github suggested fixes not working
• Broken usage of capsys for inspecting logging output
• read_sql_query with meta converts dtypes from 32 to 64.
• Improve to_parquet "Schemas are inconsistent" error messages
• Add first and last aggregate functions to dask.dataframe.pivot_table
• [DISCUSSION] Layer-by-Layer Graph Execution

See more issues on GitHub