astronomy-commons / astronomy-commons/lsdb

Add documentation page on memory and performance profiling

Open
#953 1 comment 0 reactions 0 assignees View on GitHub
documentation interface
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

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.