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10_Wiki/Dev/Topic_Python/Python_Generators.md

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+---
+id: python-generators
+title: "Python Generators"
+category: "Programming_Language"
+status: "draft"
+verification_status: "conceptual"
+canonical_id: ""
+aliases: ["yield keyword", "generator expression", "파이썬 제너레이터"]
+duplicate_of: ""
+source_trust_level: "B"
+confidence_score: 0.9
+created_at: 2026-07-04
+updated_at: 2026-07-04
+review_reason: ""
+merge_history: []
+tags: ["python", "programming", "w3schools", "generators", "yield", "iterators"]
+raw_sources: ["https://www.w3schools.com/python/python_generators.asp"]
+applied_in: []
+github_commit: ""
+---
+
+# [[Python Generators]]
+
+## 🎯 한 줄 통찰 (One-line insight)
+`yield` pauses a function and remembers its state instead of terminating it like `return` — letting a generator produce values one at a time on demand (e.g. an infinite Fibonacci sequence) without ever holding the full result set in memory. [S1]
+
+## 🧠 핵심 개념 (Core concepts)
+- **Generator** — a function that can pause and resume execution; calling it returns a generator object (an iterator) without running the body yet. [S1]
+- **`yield` keyword** — pauses the function, returns a value, and resumes from that exact point on the next call — unlike `return`, which terminates. [S1]
+- **Memory efficiency** — values are produced on-the-fly instead of building the whole collection in memory. [S1]
+- **`next()`** — manually advances a generator one step. [S1]
+- **`StopIteration`** — raised when a generator has no more values to yield. [S1]
+- **Generator expression** — `(x*x for x in range(5))` — same idea as list comprehension but with `()` instead of `[]`, producing a generator instead of a list. [S1]
+- **`send()`** — sends a value INTO a running generator at its current yield point. [S1]
+- **`close()`** — stops the generator; any `finally` block inside still runs. [S1]
+
+## 🧩 추출된 패턴 (Extracted patterns)
+- **Infinite generator via `while True`** — `def fibonacci(): a, b = 0, 1; while True: yield a; a, b = b, a+b` can generate the Fibonacci sequence forever, since nothing forces the whole sequence to materialize at once — only consumed as far as the caller iterates. [S1]
+- **Priming a generator before `send()`** — the generator must be advanced once with `next(gen)` before `send()` can inject a value, since `send()` resumes execution at the currently-paused `yield`. [S1]
+
+## 📖 세부 내용 (Details)
+- Basic generator: `def my_generator(): yield 1; yield 2; yield 3; for value in my_generator(): print(value)`. [S1]
+- Counting generator: `def count_up_to(n): count = 1; while count <= n: yield count; count += 1`. [S1]
+- Memory-efficient large sequence: `def large_sequence(n): for i in range(n): yield i` — a million-item generator never builds a million-item list. [S1]
+- Manual iteration: `gen = simple_gen(); print(next(gen)); print(next(gen))`. [S1]
+- Generator expression vs list comprehension: `[x*x for x in range(5)]` vs `(x*x for x in range(5))`. [S1]
+- Infinite Fibonacci generator: `def fibonacci(): a, b = 0, 1; while True: yield a; a, b = b, a + b`. [S1]
+- `send()`: `gen = echo_generator(); next(gen); gen.send("Hello")`. [S1]
+- `close()` with `finally`: generator's `finally` block runs on `.close()`. [S1]
+
+## ⚖️ 모순 및 업데이트 (Contradictions & updates)
+소스에서 모순되는 정보는 발견되지 않음.
+
+## 🛠️ 적용 사례 (Applied in summary)
+현재 발견된 실제 적용 사례가 없습니다 — 대용량 데이터 순회, 무한 시퀀스 생성처럼 메모리 효율이 중요한 상황에서 표준적으로 쓰인다. [S1]
+
+## 💻 코드 패턴 (Code patterns)
+Infinite Fibonacci generator (Python):
+```python
+def fibonacci():
+    a, b = 0, 1
+    while True:
+        yield a
+        a, b = b, a + b
+
+gen = fibonacci()
+for _ in range(100):
+    print(next(gen))
+```
+
+## ✅ 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 Iterators]], [[Python Recursion]], [[Python Lists Comprehension]]
+- **참조 맥락:** 메모리 효율적인 지연 평가(lazy evaluation) 순회의 표준 도구.
+
+## 📚 출처 (Sources)
+- [S1] W3Schools — Python Generators — https://www.w3schools.com/python/python_generators.asp
+
+## 📝 변경 이력 (Change history)
+- 2026-07-04: Initial draft synthesized from the W3Schools "Python Generators" page (Astra wiki-curation, P-Reinforce v3.1 format).