2nd/10_Wiki/Topics/Topic_Programming/Topic_Python/Python_JSON.md

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
python-json	Python JSON	Programming_Language	draft	conceptual		json.loads json.dumps 파이썬 제이슨		B	0.9	2026-07-04	2026-07-04			python programming w3schools json	https://www.w3schools.com/python/python_json.asp

Python JSON

🎯 한 줄 통찰 (One-line insight)

json.loads() parses a JSON string into a Python dict, json.dumps() does the reverse — and the type mapping isn't 1:1: both Python list and tuple collapse to a JSON Array, since JSON has no separate concept of an immutable sequence. [S1]

🧠 핵심 개념 (Core concepts)

• json module — Python's built-in package for working with JSON data. [S1]
• json.loads(string) — parses a JSON string into a Python dictionary. [S1]
• json.dumps(obj) — converts a Python object into a JSON string. [S1]
• Convertible Python types — dict, list, tuple, string, int, float, True, False, None. [S1]
• Type mapping (Python → JSON) — dict→Object, list→Array, tuple→Array, str→String, int/float→Number, True/False→true/false, None→null. [S1]
• Formatting parameters — indent (pretty-print spacing), separators (custom item/key separators), sort_keys (order keys alphabetically). [S1]

🧩 추출된 패턴 (Extracted patterns)

• list and tuple both become Array — the type mapping table shows JSON has no equivalent of Python's mutable/immutable sequence distinction, so information about "was this a tuple or a list" is lost on serialization. [S1]

📖 세부 내용 (Details)

• Parse JSON: x = '{ "name":"John", "age":30 }'; y = json.loads(x); print(y["age"]). [S1]
• Serialize to JSON: x = {"name": "John", "age": 30}; y = json.dumps(x). [S1]
• Pretty-print: json.dumps(x, indent=4). [S1]
• Custom separators: json.dumps(x, indent=4, separators=(". ", " = ")). [S1]
• Sorted keys: json.dumps(x, indent=4, sort_keys=True). [S1]

⚖️ 모순 및 업데이트 (Contradictions & updates)

소스에서 모순되는 정보는 발견되지 않음. list/tuple이 모두 Array로 변환된다는 점이 표에서 명시적으로 드러남. [S1]

🛠️ 적용 사례 (Applied in summary)

현재 발견된 실제 적용 사례가 없습니다 — Python Dictionaries Nested 챕터의 중첩 구조가 JSON 직렬화의 자연스러운 대상이다. [S1]

💻 코드 패턴 (Code patterns)

Round-trip parse and serialize (Python):

import json
x = '{ "name":"John", "age":30, "city":"New York"}'
y = json.loads(x)
print(y["age"])

z = json.dumps(y, indent=4, sort_keys=True)
print(z)

✅ 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 Nested, Python Modules, JSON
• 참조 맥락: 데이터 교환 포맷의 표준 도구 — 중첩 딕셔너리와 자연스럽게 결합된다.

📚 출처 (Sources)

• [S1] W3Schools — Python JSON — https://www.w3schools.com/python/python_json.asp

📝 변경 이력 (Change history)

• 2026-07-04: Initial draft synthesized from the W3Schools "Python JSON" page (Astra wiki-curation, P-Reinforce v3.1 format).