drivendataorg / drivendataorg/pandas-path

Support `async` for bulk operations

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Dominant language
Python
Stars
76
Forks
5
PR merge metrics
No merged PRs in 30d

Description

Lots of what we do in `_to_apply` here is either going to be disk (in the case of `Path`) or network (if we implement #1) bound and should benefit from doing it async.

https://github.com/drivendataorg/pandas-path/blob/8b7d1478966084733df09864b680b1eec01da0d8/pandas_path/accessor.py#L77-L105

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Research direction

Start by reading pandas_path/accessor.py at the linked _to_apply section (lines 77–105) and trace how bulk operations are currently executed. The issue does not define the async API, supported operations, or tests; clarify those requirements before implementation, with done meaning that the agreed bulk operations support async execution.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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