Learning Objectives:

• Master fundamental Python programming concepts
• Learn to use conditional statements and loops effectively
• Understand functions and basic data structures
• Apply these concepts to financial data analysis

Core Python Concepts:

Basic Programming Fundamentals

• Control Flow
  • Python Control Flow
  • If statements, loops, and functions
  • Note: Search "Python control flow examples finance" on Perplexity.ai for financial applications
• Data Structures
  • Lists, dictionaries, and sets
  • Working with financial data types
  • Search "Python data structures finance examples" for practical applications

Financial Applications

• Basic Calculations
  • Simple and compound interest
  • Return calculations
  • Portfolio statistics
• Data Manipulation
  • Reading financial data files
  • Basic data cleaning
  • Simple transformations

Practice Exercises:

1. Basic Python Programming:
   • Write functions for financial calculations
   • Create loops for data processing
   • Implement conditional logic for trading rules
2. Financial Applications:
   • Calculate Altman Z-Score for a company
   • Process stock price data
   • Compute basic portfolio metrics

Note: If you need additional resources or updated information, use Perplexity.ai with queries like "Python programming financial analysis examples 2025" or "Python finance calculations tutorial 2025"

Weekly Assignment

Tasks:

1. Data Preparation
   • Load and clean company financial data
   • Calculate all required ratios
   • Handle missing or invalid data
2. Implementation
   • Code the Z-Score formula
   • Apply to company data
   • Classify companies by risk level
3. Analysis
   • Create visualizations of results
   • Identify high-risk companies
   • Write brief analysis report

Additional Resources:

• WRDS Altman Z-Score Implementation Guide