refactor(topics): 멀티 에이전트용 지식 재편 — _Common(공통 기본기) + Domain_* 구조

에이전트 8종(대화형/프로그래머 C·S/디자이너/설계자/기획자/QA/PD/PM)에게 [공통 기본 능력 + 롤별 Specialty] 2층으로 지식을 주입하기 위한 재분류. 문서 내용·포맷은 무수정, 폴더 이동만 (6,372개 문서 수 보존 확인). - Topic_Programming → Domain_Programming (내부 구조 보존) - Topic_Graphic → Domain_Design - Topic_Business → Domain_Product - Topic_General → Domain_General - _Common 신설: Math(구 Topic_Math_Specialty), Reasoning(구 General/From_Thinking & Reasoning), Reasoning_Creativity(구 General/From_창의성), Communication(Poetic_Blog_Writing + From_writing) - 타 도메인의 From_* 폴더는 유지 (출처 표기일 뿐, 이미 도메인에 맞게 분류된 문서) - 빈 폴더 정리 (memory/procedures) - 에이전트→폴더 매핑은 workspace의 .astra/agent-knowledge-map.json (9개 에이전트) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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+---
+id: python-lambda
+title: "Python Lambda"
+category: "Programming_Language"
+status: "draft"
+verification_status: "conceptual"
+canonical_id: ""
+aliases: ["lambda function", "anonymous function", "파이썬 람다"]
+duplicate_of: ""
+source_trust_level: "B"
+confidence_score: 0.9
+created_at: 2026-07-04
+updated_at: 2026-07-04
+review_reason: ""
+merge_history: []
+tags: ["python", "programming", "w3schools", "lambda", "map", "filter", "sorted"]
+raw_sources: ["https://www.w3schools.com/python/python_lambda.asp"]
+applied_in: []
+github_commit: ""
+---
+
+# [[Python Lambda]]
+
+## 🎯 한 줄 통찰 (One-line insight)
+A lambda is a small anonymous function limited to exactly one expression — its real power shows when a normal function returns a lambda closing over an outer argument, letting one function definition generate a whole family of specialized functions (like doubler/tripler). [S1]
+
+## 🧠 핵심 개념 (Core concepts)
+- **Lambda function** — a small anonymous function; can take any number of arguments but only ONE expression. [S1]
+- **Syntax** — `lambda arguments : expression`. [S1]
+- **Function-returning-lambda pattern** — a normal `def` function can return a lambda that captures (closes over) the outer function's parameter, producing specialized functions. [S1]
+- **Common pairing with `map()`, `filter()`, `sorted()`** — lambdas are typically used as the throwaway function argument to these built-ins. [S1]
+
+## 🧩 추출된 패턴 (Extracted patterns)
+- **Lambda-as-function-factory** — `def myfunc(n): return lambda a: a * n` demonstrates using a lambda's closure over `n` to generate `mydoubler = myfunc(2)` and `mytripler = myfunc(3)` from ONE function definition. [S1]
+- **`key=` argument idiom** — `sorted(list, key=lambda x: ...)` is the standard way to customize sort order without writing a named function. [S1]
+
+## 📖 세부 내용 (Details)
+- Basic lambda: `x = lambda a : a + 10; print(x(5))`. [S1]
+- Multi-argument lambda: `x = lambda a, b, c : a + b + c`. [S1]
+- Function factory: `def myfunc(n): return lambda a : a * n; mydoubler = myfunc(2); mytripler = myfunc(3)`. [S1]
+- With `map()`: `doubled = list(map(lambda x: x * 2, numbers))`. [S1]
+- With `filter()`: `odd_numbers = list(filter(lambda x: x % 2 != 0, numbers))`. [S1]
+- With `sorted()` key: `sorted_students = sorted(students, key=lambda x: x[1])` (sort tuples by second element). [S1]
+
+## ⚖️ 모순 및 업데이트 (Contradictions & updates)
+소스에서 모순되는 정보는 발견되지 않음.
+
+## 🛠️ 적용 사례 (Applied in summary)
+현재 발견된 실제 적용 사례가 없습니다 — Sort Lists 챕터의 `key=` 커스텀 정렬이 여기서 람다로 완성된다. [S1]
+
+## 💻 코드 패턴 (Code patterns)
+Lambda as a sort key (Python):
+```python
+students = [("Emil", 25), ("Tobias", 22), ("Linus", 28)]
+sorted_students = sorted(students, key=lambda x: x[1])
+```
+
+## ✅ 검증 상태 및 신뢰도
+- **상태:** draft
+- **검증 단계:** conceptual
+- **출처 신뢰도:** B (W3Schools — widely used educational reference, not a primary standards body)
+- **신뢰 점수:** 0.90
+- **중복 검사 결과:** 신규 생성 (New discovery)
+
+## 🔗 지식 그래프 (Knowledge Graph)
+- **상위/루트:** [[Python Tutorial]]
+- **관련 개념:** [[Python Functions]], [[Python Lists Sort]], [[Python Lists Comprehension]]
+- **참조 맥락:** 짧은 익명 함수가 필요한 곳(map/filter/sorted의 key)에서 표준적으로 쓰인다.
+
+## 📚 출처 (Sources)
+- [S1] W3Schools — Python Lambda — https://www.w3schools.com/python/python_lambda.asp
+
+## 📝 변경 이력 (Change history)
+- 2026-07-04: Initial draft synthesized from the W3Schools "Python Lambda" page (Astra wiki-curation, P-Reinforce v3.1 format).