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3.6 KiB
3.6 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-virtualenv | Python VirtualEnv | Programming_Language | draft | conceptual |
|
B | 0.88 | 2026-07-04 | 2026-07-04 |
|
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Python VirtualEnv
🎯 한 줄 통찰 (One-line insight)
A virtual environment is a self-contained folder with its own interpreter and packages — deleting the whole folder cleanly removes it with zero side effects on other projects or the system Python, since nothing outside the folder ever depended on it. [S1]
🧠 핵심 개념 (Core concepts)
- Virtual environment — an isolated environment for running/testing a Python project; own interpreter, own packages, isolated from other environments. [S1]
- Why use it — prevents package version conflicts between projects, improves portability/reproducibility, keeps the system Python clean, allows testing with different Python versions. [S1]
venvmodule — built-in tool for creating virtual environments:python -m venv myfirstproject. [S1]- Activation —
myfirstproject\Scripts\activate(Windows) changes the prompt to show the active environment. [S1] - Installing packages — once activated,
pip install <package>installs ONLY into that environment. [S1] - Deactivation —
deactivatereturns to the normal command line. [S1] - Deletion — simply delete the folder; no other project depends on it. [S1]
🧩 추출된 패턴 (Extracted patterns)
- Package isolation demonstrated by failure — running a script that imports a venv-only package OUTSIDE the activated venv raises
ModuleNotFoundError, concretely proving the isolation works. [S1]
📖 세부 내용 (Details)
- Create:
python -m venv myfirstproject. [S1] - Activate (Windows):
myfirstproject\Scripts\activate. [S1] - Install a package inside:
pip install cowsay. [S1] - Run a script using it:
python test.py. [S1] - Deactivate:
deactivate. [S1] - Delete:
rmdir /s /q myfirstproject. [S1]
⚖️ 모순 및 업데이트 (Contradictions & updates)
소스에서 모순되는 정보는 발견되지 않음.
🛠️ 적용 사례 (Applied in summary)
현재 발견된 실제 적용 사례가 없습니다 — Python PIP 챕터의 패키지 설치가 여기서 프로젝트별로 격리된 형태로 확장된다. [S1]
💻 코드 패턴 (Code patterns)
Create, activate, and install in isolation (shell):
python -m venv myfirstproject
myfirstproject\Scripts\activate
pip install cowsay
✅ 검증 상태 및 신뢰도
- 상태: draft
- 검증 단계: conceptual
- 출처 신뢰도: B (W3Schools — widely used educational reference, not a primary standards body)
- 신뢰 점수: 0.88
- 중복 검사 결과: 신규 생성 (New discovery)
🔗 지식 그래프 (Knowledge Graph)
- 상위/루트: Python Tutorial
- 관련 개념: Python PIP, Python Modules
- 참조 맥락: 프로젝트별 의존성 격리의 표준 도구 — PIP 설치를 프로젝트 범위로 한정.
📚 출처 (Sources)
- [S1] W3Schools — Python Virtual Environment — https://www.w3schools.com/python/python_virtualenv.asp
📝 변경 이력 (Change history)
- 2026-07-04: Initial draft synthesized from the W3Schools "Python Virtual Environment" page (Astra wiki-curation, P-Reinforce v3.1 format).