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package.json
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60 lines (60 loc) Β· 2.07 KB
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{
"name": "data-engineering-journey",
"version": "1.0.0",
"description": "Complete hands-on course: Traditional Data β Modern Engineering β AI-Driven Systems",
"main": "index.js",
"scripts": {
"start": "concurrently \"npm run phase1\" \"npm run phase2\" \"npm run phase3\" \"npm run jupyter\"",
"phase1": "cd phase1-traditional/html-dashboard && live-server --port=3000 --no-browser",
"phase2": "cd phase2-modern/mlops-pipeline && live-server --port=3001 --no-browser",
"phase3": "cd phase3-ai-driven/vector-search && live-server --port=3002 --no-browser",
"jupyter": "jupyter lab --ip=0.0.0.0 --port=8888 --no-browser --allow-root",
"dev": "npm start",
"build": "echo 'Building static assets...' && npm run build:phase1 && npm run build:phase2 && npm run build:phase3",
"build:phase1": "echo 'Phase 1 built (static HTML)'",
"build:phase2": "echo 'Phase 2 built (static HTML)'",
"build:phase3": "echo 'Phase 3 built (static HTML)'",
"test": "echo 'Running course validation tests...' && python scripts/validate_course.py",
"setup": "bash .devcontainer/setup.sh",
"clean": "rm -rf data/exports/* data/logs/*",
"generate-data": "python scripts/data_generator.py",
"validate": "python scripts/validate_course.py"
},
"keywords": [
"data-engineering",
"machine-learning",
"ai",
"vector-database",
"knowledge-graphs",
"mlops",
"azure",
"education",
"hands-on",
"interactive"
],
"author": "Data Engineering Course",
"license": "MIT",
"dependencies": {
"chart.js": "^4.3.0",
"d3": "^7.8.0",
"vis-network": "^9.1.0",
"mermaid": "^10.2.0"
},
"devDependencies": {
"concurrently": "^8.0.0",
"live-server": "^1.2.2",
"nodemon": "^2.0.0"
},
"engines": {
"node": ">=18.0.0",
"python": ">=3.11.0"
},
"repository": {
"type": "git",
"url": "https://github.com/your-username/data-ai-course.git"
},
"bugs": {
"url": "https://github.com/your-username/data-ai-course/issues"
},
"homepage": "https://github.com/your-username/data-ai-course#readme"
}