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Provides repository overview and guidelines for AI tools: - Repository architecture and structure - Reference to CONTRIBUTING.md for PR review criteria - Key curation considerations This document enables AI assistants to understand the project context and apply consistent review standards. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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CLAUDE.md
Repository Overview
This is the awesome-python repository - a curated list of Python frameworks, libraries, software and resources. The repository serves as a comprehensive directory about Python ecosystem.
PR Review Guidelines
For all PR review tasks, refer to CONTRIBUTING.md which contains:
- Acceptance criteria (Industry Standard, Rising Star, Hidden Gem)
- Quality requirements
- Automatic rejection criteria
- Entry format reference
- PR description template
Architecture & Structure
The repository follows a single-file architecture:
- README.md: All content in hierarchical structure (categories, subcategories, entries)
- CONTRIBUTING.md: Submission guidelines and review criteria
- sort.py: Script to enforce alphabetical ordering
Entry format: * [project-name](url) - Concise description ending with period.
Key Considerations
- This is a curated list, not a code project
- Quality over quantity - only "awesome" projects
- Alphabetical ordering within categories is mandatory
- README.md is the source of truth for all content