📅 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_ and calcular_distancia_acumulada to 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 IndexError and ValueError in 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.