📅 2023-09-20 — Session: Optimized Store Placement and Distance Calculation

🕒 18:30–19:25
🏷️ Labels: Python, Algorithm, Error Correction, Store Placement, Distance Calculation
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to correct and optimize functions related to store placement and distance calculation in a Python algorithm.

Key Activities

  • Identified and corrected errors in the costo_minimo_desde_ and calcular_distancia_acumulada functions to ensure accurate distance calculations.
  • Implemented recursive logic to minimize costs, using the min() function effectively.
  • Analyzed and optimized an algorithm for store placement, addressing errors in cost evaluation and proposing solutions.
  • Resolved multiple IndexError and ValueError issues by adjusting list indexing and function arguments.
  • Addressed execution environment issues by redefining necessary variables and functions.

Achievements

  • Successfully corrected the distance calculation logic, ensuring the algorithm accurately evaluates store placement and costs.
  • Improved error handling and debugging processes for Python functions.

Pending Tasks

  • Execute the modified code locally to verify the correctness of the solutions implemented.