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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-iterators | Python Iterators | Programming_Language | draft | conceptual |
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B | 0.9 | 2026-07-04 | 2026-07-04 |
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Python Iterators
🎯 한 줄 통찰 (One-line insight)
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]
🧠 핵심 개념 (Core concepts)
- Iterator — an object implementing the iterator protocol (
__iter__()and__next__()); contains a countable number of values. [S1] - Iterable vs. iterator — lists/tuples/dicts/sets are iterable (have an
iter()method to GET an iterator); the iterator itself is whatnext()advances. [S1] iter()— returns an iterator from an iterable object. [S1]next()— advances the iterator one step, returning the next value. [S1]- for loop internals — a for loop actually creates an iterator object internally and calls
next()on each pass. [S1] - Custom iterator class — implement
__iter__()(must return the iterator object itself) and__next__()(must return the next value in sequence). [S1] StopIteration— raised inside__next__()to signal the end, preventing infinite iteration in a for loop. [S1]
🧩 추출된 패턴 (Extracted patterns)
- 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 aforloop (unlike manualnext()calls, which just stop when you stop calling them). [S1]
📖 세부 내용 (Details)
- Get iterator from a tuple:
mytuple = ("apple","banana","cherry"); myit = iter(mytuple); print(next(myit)). [S1] - Custom iterator class: [S1]
class MyNumbers:
def __iter__(self):
self.a = 1
return self
def __next__(self):
x = self.a
self.a += 1
return x
- With StopIteration to prevent infinite loop:
if self.a <= 20: ... else: raise StopIteration. [S1]
⚖️ 모순 및 업데이트 (Contradictions & updates)
소스에서 모순되는 정보는 발견되지 않음.
🛠️ 적용 사례 (Applied in summary)
현재 발견된 실제 적용 사례가 없습니다 — Python Generators 챕터의 yield가 이 이터레이터 프로토콜을 훨씬 간결하게 구현하는 대안이다. [S1]
💻 코드 패턴 (Code patterns)
Custom iterator with a StopIteration terminating condition (Python):
class MyNumbers:
def __iter__(self):
self.a = 1
return self
def __next__(self):
if self.a <= 20:
x = self.a
self.a += 1
return x
else:
raise StopIteration
myclass = MyNumbers()
myiter = iter(myclass)
for x in myiter:
print(x)
✅ 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 Generators, Python For Loops, Python Classes
- 참조 맥락: for 루프가 내부적으로 사용하는 프로토콜 — Generators가 이를 간결화한 대안이다.
📚 출처 (Sources)
- [S1] W3Schools — Python Iterators — https://www.w3schools.com/python/python_iterators.asp
📝 변경 이력 (Change history)
- 2026-07-04: Initial draft synthesized from the W3Schools "Python Iterators" page (Astra wiki-curation, P-Reinforce v3.1 format).