Apply multiprocessing to speed up execution time

Repository metrics

Stars

14 stars (14 stars)

PR merge metrics

PR metrics pending (PR metrics pending)

Description

Contributor guide

Research direction

Implement multiprocessing to parallelize data conversion tasks in the Python codebase.

Tech stack

python

Domain

backendperformance

Issue type

Performance

DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.

2

Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.

1-3 hours

Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.

Fresh

ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.

Clear

Prerequisites

PythonMultiprocessing

Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.

65