Traversing Mazes the Pythonic Way and Other Algorithmic Adventures

Explore graph theory and algorithmic problem-solving in this 45-minute EuroPython Conference talk. Delve into the power of graphs as mental and mathematical models for structuring complex problems. Examine graph-related algorithms through the lens of Python's design philosophy, emphasizing simplicity, beauty, and readability. Learn about different graph types, efficient representations using dictionaries and matrices, and common misconceptions. Tackle maze traversal problems using various techniques including backtracking, depth-first search, and breadth-first search. Discover Dijkstra's algorithm for finding shortest paths and explore dynamic programming concepts such as memoization. Apply these principles to solve real-world challenges and enhance your algorithmic thinking skills in a Pythonic way.

Introduction
Title
Graphs
Types of graphs
Graph representation
Dictionaries
Ideation C Matrix
Additions Matrix
Efficient Graph Representation
Classical Misconception
Traversing Mazes
The Wine
Backtracking
Time complexity
The arbitrary walk
Depthfirst traversal
Traverse
Infinite mazes
Breadthfirst search
Shortest path
Dijkstras shortest path
Queue on order
Shortest paths
Dynamic Programming
Memorization
In Action
Recursive
References
Thank you