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3.1 KiB
3.1 KiB
id, title, category, status, verification_status, canonical_id, aliases, duplicate_of, source_trust_level, confidence_score, created_at, updated_at, review_reason, merge_history, tags, raw_sources, applied_in, github_commit
| id | title | category | status | verification_status | canonical_id | aliases | duplicate_of | source_trust_level | confidence_score | created_at | updated_at | review_reason | merge_history | tags | raw_sources | applied_in | github_commit | ||||||||
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| python-dictionaries-loop | Python Dictionaries Loop | Programming_Language | draft | conceptual |
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B | 0.9 | 2026-07-04 | 2026-07-04 |
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Python Dictionaries Loop
🎯 한 줄 통찰 (One-line insight)
A plain for x in dict loop yields KEYS by default, not values — to get values directly or both key and value together, you need .values() or .items() respectively, with items() enabling the two-variable unpacking form for x, y in dict.items(). [S1]
🧠 핵심 개념 (Core concepts)
- Default loop yields keys —
for x in thisdict: print(x)prints key names. [S1] - Get values via key —
for x in thisdict: print(thisdict[x]). [S1] .values()loop —for x in thisdict.values(): print(x)iterates values directly. [S1].keys()loop —for x in thisdict.keys(): print(x)— explicit equivalent of the default loop. [S1].items()loop —for x, y in thisdict.items(): print(x, y)unpacks key and value together. [S1]
📖 세부 내용 (Details)
- Keys by default:
for x in thisdict: print(x). [S1] - Values via key lookup:
for x in thisdict: print(thisdict[x]). [S1] - Values directly:
for x in thisdict.values(): print(x). [S1] - Both key and value:
for x, y in thisdict.items(): print(x, y). [S1]
⚖️ 모순 및 업데이트 (Contradictions & updates)
소스에서 모순되는 정보는 발견되지 않음.
🛠️ 적용 사례 (Applied in summary)
현재 발견된 실제 적용 사례가 없습니다 — Nested Dictionaries 챕터에서 items() 순회가 중첩 구조 탐색에 재사용된다. [S1]
💻 코드 패턴 (Code patterns)
Loop through both keys and values (Python):
thisdict = {"brand": "Ford", "model": "Mustang", "year": 1964}
for x, y in thisdict.items():
print(x, y)
✅ 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 Dictionaries Access, Python Dictionaries Nested, Python For Loops
- 참조 맥락: 딕셔너리 순회의 5가지 방식 — items()는 중첩 딕셔너리 순회에도 재사용된다.
📚 출처 (Sources)
- [S1] W3Schools — Python - Loop Dictionaries — https://www.w3schools.com/python/python_dictionaries_loop.asp
📝 변경 이력 (Change history)
- 2026-07-04: Initial draft synthesized from the W3Schools "Python - Loop Dictionaries" page (Astra wiki-curation, P-Reinforce v3.1 format).