Requirement Analysis:
- Review and understand the existing Excel-based calculations.
- Identify the key functionalities and logic implemented in the Excel sheets.
- Collaborate with stakeholders to gather additional requirements and clarify any ambiguities.
Code Conversion:
- Convert the Excel-based calculations to Python code, ensuring accuracy and consistency.
- Optimize the Python code for performance and scalability.
- Implement error handling and validation to ensure robustness
Documentation:
- Document the existing Excel-based calculations, including formulas, macros, and data flows.
- Create comprehensive documentation for the Python code, including code comments, user guides, and technical specifications.
- Maintain an organized repository of all project documentation.
Testing and Validation:
- Develop and execute test cases to validate the accuracy and performance of the Python code.
- Compare the results of the Python code with the original Excel calculations to ensure consistency.
- Address any discrepancies and refine the code as needed.
Optimization and Best Practices:
- Identify and implement the most efficient methods for migrating calculations from Excel to Python.
- Follow best practices for coding, documentation, and version control.
Provide recommendations for further improvements and optimizations.