📅 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_
andcalcular_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
andValueError
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.