Python Career Paths & Roadmap

# Python career paths and roadmap

careers = {
    "🖥️ Backend Developer": {
        "skills": ["FastAPI/Flask/Django", "PostgreSQL", "Docker", "REST APIs"],
        "salary": "$80K-$150K",
        "demand": "⭐⭐⭐⭐⭐",
    },
    "📊 Data Analyst": {
        "skills": ["pandas", "SQL", "matplotlib", "Excel/Jupyter"],
        "salary": "$65K-$120K",
        "demand": "⭐⭐⭐⭐⭐",
    },
    "🤖 ML Engineer": {
        "skills": ["scikit-learn", "TensorFlow/PyTorch", "numpy", "statistics"],
        "salary": "$100K-$200K",
        "demand": "⭐⭐⭐⭐",
    },
    "⚙️ DevOps Engineer": {
        "skills": ["Docker", "Kubernetes", "CI/CD", "AWS/GCP"],
        "salary": "$90K-$160K",
        "demand": "⭐⭐⭐⭐⭐",
    },
    "🤖 Automation Engineer": {
        "skills": ["Selenium", "requests", "scheduling", "scripting"],
        "salary": "$70K-$130K",
        "demand": "⭐⭐⭐⭐",
    },
}

print("=== Python Career Paths ===\n")
for title, info in careers.items():
    print(f"{title}")
    print(f"  💰 Salary: {info['salary']}")
    print(f"  📈 Demand: {info['demand']}")
    print(f"  🛠️ Skills: {', '.join(info['skills'])}")
    print()

# Learning roadmap
print("=== Your Learning Roadmap ===")
roadmap = [
    "✅ Python Fundamentals (you're here!)",
    "🔜 Choose a specialization above",
    "📚 Learn domain-specific libraries",
    "🛠️ Build 3-5 portfolio projects",
    "🌍 Contribute to open source",
    "💼 Apply for junior positions",
    "📈 Keep learning & growing!",
]
for step in roadmap:
    print(f"  {step}")