SECTION 1: LEARNING OBJECTIVES

┌─────────────────────────────────────────────────────────────────────────────┐
│                    BLOCKCHAIN CAREER PATHS                                  │
├─────────────────────────────────────────────────────────────────────────────┤
│                                                                             │
│  TECHNICAL ROLES                                                           │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │ • Blockchain Developer                                               │   │
│  │ • Smart Contract Developer                                           │   │
│  │ • Protocol Engineer                                                  │   │
│  │ • Security Engineer                                                  │   │
│  │ • DevOps Engineer                                                    │   │
│  │ • Data Engineer                                                      │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
│  BUSINESS ROLES                                                           │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │ • Product Manager                                                    │   │
│  │ • Project Manager                                                    │   │
│  │ • Business Development                                               │   │
│  │ • Strategy Consultant                                                │   │
│  │ • Operations Manager                                                 │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
│  FINANCE & COMPLIANCE ROLES                                               │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │ • Crypto Analyst                                                     │   │
│  │ • Investment Associate                                               │   │
│  │ • Compliance Officer                                                 │   │
│  │ • Risk Manager                                                       │   │
│  │ • Regulatory Specialist                                              │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
│  COMMUNITY & EDUCATION ROLES                                              │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │ • Community Manager                                                  │   │
│  │ • Developer Advocate                                                 │   │
│  │ • Technical Writer                                                   │   │
│  │ • Educator/Trainer                                                   │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
└─────────────────────────────────────────────────────────────────────────────┘

# ===================================================================
# MODULE 10, LESSON 8: PROFESSIONAL DEVELOPMENT AND CAREER PLANNING
# ===================================================================

import pandas as pd
import matplotlib.pyplot as plt
from typing import Dict, List
import warnings
warnings.filterwarnings('ignore')

print("="*70)
print("PROFESSIONAL DEVELOPMENT AND CAREER PLANNING")
print("="*70)

# ----------------------------------------------------------------
# PART A: CAREER PLANNING TOOL
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART A: Career Planning Tool")
print("-"*60)

class CareerPlanner:
    """
    Tool for planning blockchain career development.
    """
    def __init__(self, name: str, current_role: str):
        self.name = name
        self.current_role = current_role
        self.skills = {}
        self.goals = []
        self.timeline = []
    
    def add_skill(self, skill: str, level: int, priority: int):
        self.skills[skill] = {
            'level': level,  # 1-5
            'priority': priority,  # 1-5
            'target_level': min(5, level + 2)
        }
    
    def add_goal(self, goal: str, timeline: str, success_metric: str):
        self.goals.append({
            'goal': goal,
            'timeline': timeline,
            'success_metric': success_metric
        })
    
    def get_development_plan(self) -> pd.DataFrame:
        data = []
        for skill, details in self.skills.items():
            gap = details['target_level'] - details['level']
            data.append({
                'Skill': skill,
                'Current Level': details['level'],
                'Target Level': details['target_level'],
                'Priority': details['priority'],
                'Gap': gap,
                'Priority Action': 'High' if details['priority'] >= 4 and gap > 0 else 'Medium' if gap > 0 else 'Maintain'
            })
        return pd.DataFrame(data)

# Create career plan
planner = CareerPlanner("John Doe", "Blockchain Developer")

# Add skills
skills_data = [
    ('Solidity', 4, 5),
    ('Python', 3, 4),
    ('JavaScript', 3, 3),
    ('Rust', 2, 3),
    ('DeFi', 3, 5),
    ('Smart Contract Security', 2, 5),
    ('DApp Development', 3, 4),
    ('Data Analysis', 2, 3)
]

for skill, level, priority in skills_data:
    planner.add_skill(skill, level, priority)

# Add goals
goals_data = [
    ('Become a Senior Smart Contract Engineer', '1-2 years', 'Lead a major DeFi project'),
    ('Contribute to OpenZeppelin', '6-12 months', 'First PR merged'),
    ('Complete Certifications', '12 months', 'CBP and CBDE certified'),
    ('Build a DeFi protocol', '6 months', 'Launched on testnet')
]

for goal, timeline, metric in goals_data:
    planner.add_goal(goal, timeline, metric)

# Get development plan
plan_df = planner.get_development_plan()
print("Career Development Plan:")
print(plan_df.to_string(index=False))

# ----------------------------------------------------------------
# PART B: CERTIFICATION PATHWAYS
# -----------------------------------------------------------------

print("\n" + "-"*60)
print("PART B: Certification Pathways")
print("-"*60)

cert_data = {
    'Certification': ['CBP', 'CBDE', 'Ethereum Developer', 'CEA', 'CISSP', 'CFA'],
    'Focus': ['General Blockchain', 'Hyperledger', 'Ethereum', 'Ethereum Architecture', 'Security', 'Finance'],
    'Level': ['Foundation', 'Intermediate', 'Advanced', 'Advanced', 'Advanced', 'Advanced'],
    'Time to Complete': ['2-3 weeks', '4-6 weeks', '8-12 weeks', '6-8 weeks', '6-12 months', '2-4 years']
}

cert_df = pd.DataFrame(cert_data)
print(cert_df.to_string(index=False))

# ----------------------------------------------------------------
# PART C: JOB MARKET INSIGHTS
# -----------------------------------------------------------------

print("\n" + "-"*60)
print("PART C: Job Market Insights")
print("-"*60)

job_data = {
    'Role': ['Blockchain Developer', 'Smart Contract Developer', 'Product Manager', 'Security Engineer', 'DeFi Analyst', 'Compliance Officer'],
    'Average Salary (USD)': [140000, 150000, 130000, 145000, 120000, 110000],
    'Demand Growth': ['High', 'Very High', 'High', 'High', 'Medium', 'High'],
    'Remote Friendly': ['Yes', 'Yes', 'Yes', 'Yes', 'Yes', 'Limited']
}

job_df = pd.DataFrame(job_data)
print(job_df.to_string(index=False))

# Visualise
fig, ax = plt.subplots(figsize=(12, 5))
ax.barh(job_df['Role'], job_df['Average Salary (USD)'], color='teal', alpha=0.7)
ax.set_xlabel('Average Salary (USD)')
ax.set_title('Average Salaries for Blockchain Roles')
ax.grid(True, alpha=0.3)

plt.tight_layout()
plt.savefig('career_salaries.png', dpi=300, bbox_inches='tight')
plt.show()
print("Career salaries chart saved as 'career_salaries.png'")

# ----------------------------------------------------------------
# PART D: PROFESSIONAL DEVELOPMENT CHECKLIST
# -----------------------------------------------------------------

print("\n" + "-"*60)
print("PART D: Professional Development Checklist")
print("-"*60)

dev_checklist = {
    "Technical Skills": [
        "Solidity/JavaScript proficiency",
        "Smart contract development experience",
        "Understanding of DeFi protocols",
        "Security best practices",
        "Ethereum ecosystem knowledge"
    ],
    "Professional Skills": [
        "Communication skills",
        "Problem-solving ability",
        "Project management",
        "Team collaboration",
        "Presentation skills"
    ],
    "Certifications": [
        "Identify relevant certifications",
        "Plan certification path",
        "Prepare for certification exams"
    ],
    "Networking": [
        "LinkedIn profile optimisation",
        "Industry event attendance",
        "Community participation",
        "Mentorship engagement"
    ],
    "Portfolio": [
        "Build and maintain a GitHub portfolio",
        "Contribute to open source",
        "Create a personal website",
        "Showcase projects"
    ]
}

for category, items in dev_checklist.items():
    print(f"\n{category.upper()}:")
    for item in items:
        print(f"  □ {item}")

# ----------------------------------------------------------------
# PART E: SUMMARY AND FINAL THOUGHTS
# -----------------------------------------------------------------

print("\n" + "="*70)
print("PART E: Summary and Final Thoughts")
print("="*70)

print("""
Professional Development and Career Planning – Key Takeaways:

1. Career paths: technical, business, finance/compliance, community/education.
2. Key skills: Solidity, Python, DeFi, Security, Data Analysis, Communication.
3. Certifications: CBP, CBDE, Ethereum Developer, CEA, CISSP, CFA.
4. Professional development: courses, conferences, reading, projects, open source.
5. Networking: LinkedIn, Twitter, Discord, meetups, conferences, hackathons.
6. Job search: specialised job boards, company websites, networking, recruitment.

Career Planning Checklist:
  - Identify your career goals.
  - Assess your current skills.
  - Plan skill development.
  - Consider certifications.
  - Build your portfolio.
  - Network actively.
  - Apply strategically.

Final Thought:
The blockchain and digital finance industry is dynamic and growing. Continuous learning, adaptability, and professional networking are essential for long-term career success.

Congratulations on completing the Diploma in Blockchain and Digital Finance!
Your journey in this exciting field is just beginning.
""")