docs(10_Wiki): 위키 구조 정리 — 언어 튜토리얼 카테고리 폴더 제거 + 신규 자산 동기화
Topic_CSS/Topic_HTML/Topic_JavaScript/Topic_Prompt/Topic_Comfyui 등 기존 카테고리 폴더를 정리하고, Topic_Graphic/Dev 등 신규 산출물과 Topics 내부 세션/메모리 기록을 동기화.
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id: python-iterators
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title: "Python Iterators"
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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: ["iterator protocol", "__iter__", "__next__", "파이썬 이터레이터"]
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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", "iterators", "iterable"]
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raw_sources: ["https://www.w3schools.com/python/python_iterators.asp"]
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applied_in: []
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github_commit: ""
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---
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# [[Python Iterators]]
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## 🎯 한 줄 통찰 (One-line insight)
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An iterable (list, tuple, string, etc.) is a container you can get an iterator FROM via `iter()`; a custom class becomes its own iterator by implementing `__iter__()` (return self) and `__next__()` (return the next value, raising StopIteration to terminate). [S1]
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## 🧠 핵심 개념 (Core concepts)
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- **Iterator** — an object implementing the iterator protocol (`__iter__()` and `__next__()`); contains a countable number of values. [S1]
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- **Iterable vs. iterator** — lists/tuples/dicts/sets are iterable (have an `iter()` method to GET an iterator); the iterator itself is what `next()` advances. [S1]
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- **`iter()`** — returns an iterator from an iterable object. [S1]
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- **`next()`** — advances the iterator one step, returning the next value. [S1]
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- **for loop internals** — a for loop actually creates an iterator object internally and calls `next()` on each pass. [S1]
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- **Custom iterator class** — implement `__iter__()` (must return the iterator object itself) and `__next__()` (must return the next value in sequence). [S1]
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- **`StopIteration`** — raised inside `__next__()` to signal the end, preventing infinite iteration in a for loop. [S1]
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## 🧩 추출된 패턴 (Extracted patterns)
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- **Without StopIteration, custom iterators run forever in a for loop** — the example shows that a `__next__()` with no terminating condition would loop forever if placed in a `for` loop (unlike manual `next()` calls, which just stop when you stop calling them). [S1]
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## 📖 세부 내용 (Details)
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- Get iterator from a tuple: `mytuple = ("apple","banana","cherry"); myit = iter(mytuple); print(next(myit))`. [S1]
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- Custom iterator class: [S1]
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```python
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class MyNumbers:
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def __iter__(self):
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self.a = 1
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return self
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def __next__(self):
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x = self.a
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self.a += 1
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return x
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```
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- With StopIteration to prevent infinite loop: `if self.a <= 20: ... else: raise StopIteration`. [S1]
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## ⚖️ 모순 및 업데이트 (Contradictions & updates)
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소스에서 모순되는 정보는 발견되지 않음.
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## 🛠️ 적용 사례 (Applied in summary)
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현재 발견된 실제 적용 사례가 없습니다 — Python Generators 챕터의 `yield`가 이 이터레이터 프로토콜을 훨씬 간결하게 구현하는 대안이다. [S1]
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## 💻 코드 패턴 (Code patterns)
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Custom iterator with a StopIteration terminating condition (Python):
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```python
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class MyNumbers:
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def __iter__(self):
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self.a = 1
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return self
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def __next__(self):
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if self.a <= 20:
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x = self.a
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self.a += 1
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return x
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else:
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raise StopIteration
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myclass = MyNumbers()
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myiter = iter(myclass)
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for x in myiter:
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print(x)
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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 Generators]], [[Python For Loops]], [[Python Classes]]
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- **참조 맥락:** for 루프가 내부적으로 사용하는 프로토콜 — Generators가 이를 간결화한 대안이다.
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## 📚 출처 (Sources)
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- [S1] W3Schools — Python Iterators — https://www.w3schools.com/python/python_iterators.asp
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## 📝 변경 이력 (Change history)
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- 2026-07-04: Initial draft synthesized from the W3Schools "Python Iterators" page (Astra wiki-curation, P-Reinforce v3.1 format).
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