aehrc / aehrc/pathling

Investigate use of Spark Connect within Python and R libraries

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optimisation
Dominant language
Java
Stars
134
Forks
24
Avg merge
1d 15h
Merged PRs (30d)
8

Description

This could have the potential to simplify the packaging of these libraries.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Investigate how Spark Connect could be used within the Python and R libraries, focusing on whether it would simplify their packaging. The issue does not name files, tests, or entry points; done should be a documented conclusion about the packaging approach and its feasibility.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, r, spark
Domain
data-engineering
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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