Python Maze World
Explore the power of A* Search algorithm and its implementation using Python. In this video, we discuss informed search and how it improves efficiency. Using the pyamaze module, we build the A* algorithm, showcasing its visualization capabilities. Watch as the algorithm intelligently navigates mazes, finding the optimal path from start to goal. Whether you're a beginner or an experienced programmer, this tutorial will equip you with the knowledge to apply A* Search in your projects. Join us and uncover the magic of intelligent pathfinding with Python!
In this series we will learn about different Maze Search Algorithm in Python e.g., Depth First Search (DFS), Breadth First Search (BFS), A-Star Search, Dijkstra's Algorithm and many other possible search and navigation algorithms like Wall Following Robot, Reinforcement Learning, Genetic Algorithm etc.
This video is about A Star Search.
(00:00) Introduction
(01:30) Algorithm Explanation
(08:50) Priority Queue
(09:35) Pseudocode
(11:17) Python Code Development
⭐⭐Discussion on different Heuristic Functions in A-Star
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⭐⭐Depth First Search (DFS) Implementation:
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⭐⭐Breadth First Search (BFS) Implementation:
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⭐⭐Dijkstra's Algorithm:
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You can download the package as:
pip install pyamaze
Or you can copy the module code from here:
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The used demo file is here :
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How to use pyamaze module:
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What is __name__=='__main__':
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Here is the Playlist:
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#Python #pyamaze #Python
