📅 2023-09-07 — Session: Implemented DFS and pathfinding algorithms with error corrections
🕒 22:40–23:10
🏷️ Labels: DFS, Pathfinding, Python, Algorithm, Error Correction
📂 Project: Dev
⭐ Priority: MEDIUM
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.