Implemented DFS and pathfinding algorithms with error corrections

• Day: 2023-09-07
• Time: 22:40 to 23:10
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: DFS, Pathfinding, Python, Algorithm, Error Correction

Description

Session Goal

The session aimed to implement and refine depth-first search (DFS) and pathfinding algorithms for solving specific programming exercises, focusing on error corrections and visual representation.

Key Activities

• Reviewed a detailed summary of practical work involving four algorithmic exercises, including search techniques and optimization strategies.
• Developed conceptual and implementation solutions for programming exercises, focusing on search and optimization.
• Implemented a DFS approach for the ‘Sendero’ problem, addressing pathfinding with various piece movements.
• Identified and corrected errors in the Python environment related to import statements and path length calculations.
• Modified code to handle all possible rotations of pieces in pathfinding algorithms, ensuring accurate shortest and longest path calculations.
• Created visual representations of DFS and pathfinding solutions in Python, enhancing the understanding of algorithmic processes.

Achievements

• Successfully implemented DFS and pathfinding algorithms with corrected errors in import statements and path calculations.
• Enhanced the code to consider all piece rotations, improving the algorithm’s accuracy.
• Developed visual representations for algorithmic solutions, aiding in comprehension and debugging.

Pending Tasks

• Further testing and validation of the implemented algorithms to ensure robustness and accuracy.
• Exploration of additional optimization techniques for pathfinding problems.

Evidence

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• event_ids: []