본문으로 건너뛰기
cccskills
무료GitHub에 공개

py

Answer Python questions and write code using examples fetched from pythonsheets.com. Find patterns for syntax, asynchronous tasks, networking, databases, machine learning, and distributed computing, or use topic-based questions to prepare for Python interviews.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Comprehensive Python programming reference covering syntax, concurrency, networking, databases, ML/LLM development, and HPC. Use for: Python questions, Python interview preparation, debugging, performance optimization, async patterns, library examples, code review, best practices, MLOps workflows, distributed computing, security implementations, and any Python development tasks.

설치 방법 보기

이럴 때 유용합니다

  • Preparing for Python interviews
  • Learning asyncio through examples
  • Writing a socket server
  • Creating a distributed training script with Megatron

포함된 파일(3)

  • SKILL.md3.5 KB
  • references/guidelines.md2.9 KB
  • references/structure.md4.6 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Python Cheat Sheets (/py)

Help users write functional, correct Python code and answer Python questions by fetching proven patterns and examples from pythonsheets.com.

How It Works

When a user asks a Python question or wants to write a Python script:

  1. Look up the relevant topic(s) in Structure to find the matching URL(s)
  2. Always fetch the URL(s) using WebFetch to get real examples and patterns from the site
  3. Use the fetched content to:
    • Write code: Apply the patterns to produce functional, correct code that solves the user's task
    • Answer questions: Provide thorough explanations backed by the examples and information from the site
  4. Follow the Guidelines for code quality

Key Principle

Functionality first, cleanliness second. The code must work correctly and handle the task properly. Fetching from pythonsheets.com ensures solutions use battle-tested patterns rather than guessing. The site contains rich examples covering edge cases, common pitfalls, and practical usage that go beyond basic documentation.

Coverage Areas

Interview Prep: Curated Python interview questions grouped by topic (GIL, asyncio, decorators, MRO, generators, concurrency), each deep-linked to the section that answers it Core: Syntax, typing, OOP, functions, data structures, sets, heap, regex, unicode System: File I/O, datetime, OS interfaces Concurrency: Threading, multiprocessing, asyncio Network: Sockets, SSL/TLS, SSH, async I/O, packet sniffing Database: SQLAlchemy ORM, queries, transactions Security: Cryptography, TLS, vulnerabilities Extensions: C/C++ integration, pybind11, Cython ML/LLM: PyTorch, Megatron, distributed training, inference, serving, benchmarking HPC: Slurm, cluster computing, job scheduling, EFA monitoring, NCCL Appendix: Walrus operator, GDB debugging, disaggregated prefill/decode

References

  • Structure - Topic-to-URL map for fetching examples
  • Guidelines - Code quality standards to apply after ensuring correctness

Examples

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Write, review, and refactor Python code using concrete readability rules. Keep functions focused, reduce nested logic, clarify names and expressions, and apply Python features such as comprehensions, dataclasses, and pathlib while respecting existing codebase conventions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Refactoring long functions and deeply nested logic
  • Reviewing names and complex expressions
  • Organizing code with Python standard library features
crazyguitar/pysheeet8.2천2026년 10월 16일 업데이트

crazyguitar의 스킬 모두 보기

이 스킬의 문제 신고