📅 2023-10-11 — Session: Comprehensive Exploration of Graph Algorithms and Implementations
🕒 12:00–20:00
🏷️ Labels: Graph Algorithms, Dijkstra, Bellman-Ford, Python, Github, Education
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary objective of this session was to explore various graph algorithms, focusing on their theoretical underpinnings, practical applications, and implementation in Python.
Key Activities
- GitHub Repository Structure: A detailed structure for a GitHub repository was proposed to facilitate collaboration in academic projects.
- Email Proposal: A template for inviting graduates to a programming event was drafted.
- Graph Theory Exercises: Exercises on shortest paths in graphs were presented, offering challenges and solution strategies.
- Matrix Sum Exercise: An exercise on summing values in a matrix using nested loops was discussed.
- Advanced Algorithms Course Material: Support materials for an advanced algorithms course were outlined, emphasizing deep understanding and critical analysis.
- Graph Algorithms: Various graph algorithms were explored, including Dijkstra’s and Bellman-Ford, focusing on finding maximum weight edges, shortest paths, and detecting negative cycles.
- Python Implementations: Simple implementations of Bellman-Ford and Dijkstra algorithms in Python were provided.
Achievements
- Developed a comprehensive understanding of graph algorithms and their applications.
- Created templates for GitHub repository structure and event invitation emails.
- Provided Python code examples for key graph algorithms.
Pending Tasks
- Further exploration of graph algorithm optimizations and their practical applications.
- Development of additional teaching materials for the advanced algorithms course.