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Provides visualizations of various pathfinding algorithms implemented in Python and Pygame.

License: MIT License

Python 100.00%
algorithm bellman-ford-algorithm dijkstra-algorithm floyd-warshall-algorithm hacktoberfest hacktoberfest-accepted hacktoberfest2023 pathfinding pathfinding-algorithm pathfinding-visualizer pygame python visualization

routeviz's Introduction

I am Shambhavi Mishra

Either a null stack developer or a fool stack developer

nebulatris

  • ๐Ÿ”ญ Iโ€™m currently working on Machine Learning and Full Stack

  • ๐ŸŒฑ Iโ€™m currently deciphering on what to learn or what not to (Aka Stuck in Tutorial Hell)

  • ๐Ÿ‘ฏ Iโ€™m looking to collaborate on Full Stack and Machine Learning

  • โšก Fun fact - An avid youtube and reddit wanderer

๐Ÿ’ป Tech Stack:

C C++ CSS3 HTML5 Java JavaScript Python R Google Cloud AWS Bootstrap MongoDB MySQL Canva NumPy Pandas scikit-learn SciPy TensorFlow

๐Ÿ“Š GitHub Stats:


๐Ÿ† GitHub Trophies

โœจ Badges

An image of @nebulatris's Holopin badges, which is a link to view their full Holopin profile

routeviz's People

Contributors

aryan-mishra24 avatar justushar avatar nebulatris avatar

Watchers

 avatar

routeviz's Issues

Feature Request: Add Virtual Representation of Algorithms

Description

What feature are you requesting?

I am requesting the addition of a virtual representation for algorithms, specifically Dijkstra's Algorithm and Bellman-Ford Algorithm, on the platform.

I'm creating a pull request for the same.

Why is this feature useful?

Adding a virtual representation of algorithms has several benefits:

  1. Enhanced Learning Experience: Visualizing algorithms through a step-by-step virtual representation helps users understand the algorithms better. It's particularly useful for learners who benefit from visual aids.

  2. Concept Reinforcement: A visual representation can reinforce the concepts discussed in the algorithm's documentation. It provides users with a concrete example to follow along.

  3. Engagement: A visual walkthrough can make the documentation more engaging and user-friendly, attracting a broader audience, including those new to algorithms or programming.

  4. Hands-on Understanding: Users can interact with and observe the algorithm in action, making it easier to grasp the underlying logic and mechanics.

Additional Information

Screenshots or Examples

##Dijkstra's Algorithm
image
##Bellman-Ford Algorithm
image
.....

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