python-parallelization
OfficialTurn Python code into parallel, faster execution.
Software Engineering#performance#python#concurrency#parallelization#asyncio#multiprocessing#code-transformation
AuthorGeneralReasoning
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Transform sequential Python code into parallel/concurrent implementations to accelerate runtime and enable scalable workloads.
Core Features & Use Cases
- Analyze code to identify parallelization opportunities
- Classify workloads into CPU-bound, IO-bound, or data-parallel categories
- Suggest and apply the appropriate strategy (multiprocessing, asyncio, vectorization) with safety considerations
- Real-world use cases include data processing pipelines, web scraping, numeric simulations
Quick Start
Provide a Python function and request to parallelize using multiprocessing or asyncio, then validate results.
Dependency Matrix
Required Modules
None requiredComponents
references
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Please help me install this Skill: Name: python-parallelization Download link: https://github.com/GeneralReasoning/env-skillsbench/archive/main.zip#python-parallelization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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