📅 2023-09-20 — Session: Refactored Python functions for error handling and optimization
🕒 18:30–19:30
🏷️ Labels: Python, Error Handling, Optimization, Algorithm, Debugging
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to correct and optimize Python functions related to distance calculation and cost minimization within an algorithmic context.
Key Activities
- Identified and corrected errors in the functions
costo_minimo_desde_andcalcular_distancia_acumuladato ensure accurate distance calculations. - Implemented recursive logic to minimize cost using Python’s
min()function and addressed misunderstandings about cost maximization. - Analyzed and optimized store placement algorithms to correct cost evaluation errors and improve calculation accuracy.
- Addressed
IndexErrorandValueErrorin Python functions by correcting list indexing and argument passing. - Managed execution environment errors by redefining variables and functions after restarts.
Achievements
- Successfully corrected and optimized the distance calculation functions, ensuring accurate and efficient algorithm performance.
- Resolved multiple Python errors, enhancing the robustness of the code.
Pending Tasks
- Verify the modified code locally to ensure all corrections are effective and the algorithm functions as intended.