astronomy-commons / astronomy-commons/lsdb
Add documentation page on memory and performance profiling
- Dominant language
- Python
- Stars
- 55
- Forks
- 26
- Avg merge
- 4d 1h
- Merged PRs (30d)
- 8
Description
Users often have problems understanding where performance is slow and where memory usage is too high, especially when running out of memory in dask and running operations distributed.
We should have a documentation page explaining how to profile code for performance and memory use and track down where things are slow or memory intensive.
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reviewing the existing documentation structure and the profiling context described in the issue. Identify where a page on performance and memory profiling belongs, then document how users can investigate slow or memory-intensive distributed operations in Dask. Done means the page gives users a practical path for tracking down performance and memory problems.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, performance
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100