drivendataorg / drivendataorg/pandas-path
Support `async` for bulk operations
- 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
Contributor guide
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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