Optimize Data Quality Modules for Performance
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Refactor
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- jupyter-notebook, python
- Domain
- data, performance
Research direction
No specific files, tests, or entry points are identified. Start by locating the data quality modules and profiling them on large datasets; done means measurable improvements in speed and resource usage.
Written by the indexing model from the issue text.
Description
Ensure the data quality modules perform efficiently, especially when processing large datasets. Optimize for speed and resource usage.
- Dominant language
- Jupyter Notebook
- Stars
- 7
- Forks
- 4
- PR merge metrics
- No merged PRs in 30d
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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