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87 lines
4.6 KiB
Markdown
87 lines
4.6 KiB
Markdown
---
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id: python-encapsulation
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title: "Python Encapsulation"
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category: "Programming_Language"
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status: "draft"
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verification_status: "conceptual"
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canonical_id: ""
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aliases: ["name mangling", "private properties", "protected properties", "파이썬 캡슐화"]
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duplicate_of: ""
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source_trust_level: "B"
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confidence_score: 0.9
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created_at: 2026-07-04
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updated_at: 2026-07-04
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review_reason: ""
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merge_history: []
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tags: ["python", "programming", "w3schools", "encapsulation", "private", "name-mangling"]
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raw_sources: ["https://www.w3schools.com/python/python_encapsulation.asp"]
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applied_in: []
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github_commit: ""
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---
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# [[Python Encapsulation]]
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## 🎯 한 줄 통찰 (One-line insight)
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Python has no true private access control — double-underscore "private" properties are just name-mangled to `_ClassName__prop` internally, still technically accessible from outside if you know the mangled name, which is why it's a convention backed by tooling, not a hard security boundary. [S1]
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## 🧠 핵심 개념 (Core concepts)
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- **Encapsulation** — keeping data and methods together in a class while controlling external access; protects against accidental changes. [S1]
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- **Private properties (`__` prefix)** — cannot be accessed directly from outside the class. [S1]
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- **Getter method** — a method that returns a private property's value. [S1]
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- **Setter method** — a method that sets/validates a private property's value. [S1]
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- **Protected properties (`_` prefix)** — a convention only; Python does NOT enforce this restriction. [S1]
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- **Private methods (`__` prefix)** — same restriction as private properties; can only be called from within the class. [S1]
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- **Name mangling** — Python internally renames `__age` to `_ClassName__age`; this is HOW "private" is implemented. [S1]
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## 🧩 추출된 패턴 (Extracted patterns)
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- **Name mangling reveals private isn't truly private** — `p1._Person__age` still works and accesses the "private" value directly — Python's encapsulation is a naming convention enforced by mangling, not a hard access-control mechanism like in some other languages. [S1]
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- **Getter+setter enables validation** — a setter like `set_age()` can reject invalid values (`if age > 0: ...`) at the point of mutation, something direct attribute assignment can't do. [S1]
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## 📖 세부 내용 (Details)
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- Private property (inaccessible directly): `class Person: def __init__(self, name, age): self.name = name; self.__age = age` — `p1.__age` errors. [S1]
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- Getter: `def get_age(self): return self.__age`. [S1]
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- Setter with validation: `def set_age(self, age): if age > 0: self.__age = age else: print("Age must be positive")`. [S1]
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- Protected (convention only): `self._salary = salary` — accessible but discouraged. [S1]
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- Private method: `def __validate(self, num): ...` — callable only internally. [S1]
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- Name mangling revealed: `print(p1._Person__age)` — works, but not recommended. [S1]
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## ⚖️ 모순 및 업데이트 (Contradictions & updates)
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- **"Private"가 진짜 비공개가 아님**: 네임 맹글링된 이름(`_ClassName__prop`)으로 여전히 접근 가능하다는 점이 소스에서 명시적으로 경고됨 — "not recommended"라고 언급하지만 기술적으로는 우회 가능. [S1]
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## 🛠️ 적용 사례 (Applied in summary)
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현재 발견된 실제 적용 사례가 없습니다 — Student 클래스의 성적 검증(`set_grade`)처럼 값 검증이 필요한 속성에 표준적으로 쓰인다. [S1]
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## 💻 코드 패턴 (Code patterns)
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Getter/setter with validation (Python):
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```python
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class Person:
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def __init__(self, name, age):
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self.name = name
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self.__age = age
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def get_age(self):
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return self.__age
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def set_age(self, age):
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if age > 0:
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self.__age = age
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else:
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print("Age must be positive")
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```
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## ✅ 검증 상태 및 신뢰도
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- **상태:** draft
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- **검증 단계:** conceptual
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- **출처 신뢰도:** B (W3Schools — widely used educational reference, not a primary standards body)
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- **신뢰 점수:** 0.90
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- **중복 검사 결과:** 신규 생성 (New discovery)
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## 🔗 지식 그래프 (Knowledge Graph)
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- **상위/루트:** [[Python Tutorial]]
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- **관련 개념:** [[Python Class Properties]], [[Python Class Methods]]
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- **참조 맥락:** 데이터 보호/검증이 필요한 속성에 사용 — Python의 "private"은 관례일 뿐 강제되지 않음에 유의.
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## 📚 출처 (Sources)
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- [S1] W3Schools — Python Encapsulation — https://www.w3schools.com/python/python_encapsulation.asp
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## 📝 변경 이력 (Change history)
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- 2026-07-04: Initial draft synthesized from the W3Schools "Python Encapsulation" page (Astra wiki-curation, P-Reinforce v3.1 format).
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