Improve docs on Enhancing performance
Nobody has claimed this yet.
Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 72/100
- Issue type
- Documentation
- Clarity
- Mostly clear
- Activity status
- Active
- Domain
- documentation
Research direction
Start with the linked “Enhancing performance” section in the documentation and review its existing guidance. Add specific use cases covering fastest dataset operation, lower RAM usage, and lower hard-drive usage; done means all three requested scenarios are explained clearly in that section.
Written by the indexing model from the issue text.
Description
In the "Enhancing performance" section of docs, add specific use cases:
- How to make datasets the fastest
- How to make datasets take the less RAM
- How to make datasets take the less hard drive mem
cc: @thomwolf
- Dominant language
- Python
- Stars
- 22k
- Forks
- 3.4k
- Avg merge
- 4d 4h
- Merged PRs (30d)
- 15
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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