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3.3 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 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| python-variables | Python Variables | Programming_Language | draft | conceptual |
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B | 0.9 | 2026-07-04 | 2026-07-04 |
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Python Variables
🎯 한 줄 통찰 (One-line insight)
Python variables need no declaration or fixed type — a variable is created on first assignment and can be reassigned to a completely different type later, with type() always available to check its current type. [S1]
🧠 핵심 개념 (Core concepts)
- No declaration keyword — a variable is created the moment a value is first assigned to it. [S1]
- Dynamically typed — variables aren't bound to a type and can change type after being set. [S1]
- Casting —
str(),int(),float()explicitly specify a variable's data type. [S1] type()function — returns a variable's current data type. [S1]- Quote flexibility — string variables can use single or double quotes interchangeably. [S1]
- Case sensitivity — variable names are case-sensitive (
aandAare different variables). [S1]
🧩 추출된 패턴 (Extracted patterns)
- Type can change mid-program —
x = 4(int) thenx = "Sally"(str) is legal; the variable simply now refers to a different type of object. [S1]
📖 세부 내용 (Details)
- Basic creation:
x = 5; y = "John". [S1] - Type change:
x = 4 # intthenx = "Sally" # str. [S1] - Casting:
x = str(3); y = int(3); z = float(3). [S1] - Get type:
print(type(x)). [S1] - Case sensitivity:
a = 4; A = "Sally"creates two distinct variables. [S1]
⚖️ 모순 및 업데이트 (Contradictions & updates)
소스에서 모순되는 정보는 발견되지 않음.
🛠️ 적용 사례 (Applied in summary)
현재 발견된 실제 적용 사례가 없습니다 — Data Types/Casting 챕터에서 이 개념이 더 깊이 다뤄진다. [S1]
💻 코드 패턴 (Code patterns)
Dynamic typing and casting (Python):
x = 4 # x is of type int
x = "Sally" # x is now of type str
x = str(3) # x will be '3'
y = int(3) # y will be 3
z = float(3) # z will be 3.0
✅ 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 Variable Names, Python Data Types, Python Casting, Python Global Variables
- 참조 맥락: Python 변수 개념의 진입점 — 동적 타이핑과 캐스팅으로 이어진다.
📚 출처 (Sources)
- [S1] W3Schools — Python Variables — https://www.w3schools.com/python/python_variables.asp
📝 변경 이력 (Change history)
- 2026-07-04: Initial draft synthesized from the W3Schools "Python Variables" page (Astra wiki-curation, P-Reinforce v3.1 format).