Dijkstra's Algorithm - A step by step analysis, with sample Python code

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Dijkstra’s algorithm is probably the most famous method for finding the shortest path between nodes in a graph. In this video, we’ll do more than just explore Dijkstra’s from a theoretical standpoint. We’ll also code it in Python, and then run that code against a sample graph, line by line, to really understand how it works. Apart from that, we’ll also touch on other topics, like graphs and priority queues.

00:00 Intro
01:32 Graphs
05:38 Algorithm explanation
16:57 Graph code representation
18:36 Algorithm coding
21:26 Algorithm execution

#softwareengineering #code #algorithms

Glassbyte

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I ABSOLUTELY love the fact that you let the video go and complete the algorithm, Thank you!

bvizmve

only 250 subscribers? this video is immensely helpful!

JavierColmeneroCaragol

Possibly the best and most detailed explanation of Dijkstra's Algorithm with Python implementation I've seen. Love the visual of showing the code and the state of all variables at the same time!

waelmas

I've been researching videos on optimization algorithms and this is the best explanation of theory and code that I've encountered!

rodrigonqfreire

This is the best explanation of a planning algorithm I have ever seen. Thank you for this, I hope you do more videos on algorithms like this. A* next perhaps or some localization algorithms

Pomegrante

This is the best tutorial on graph search algorithms.
i hope u keep publishing them
(i can see how much time u would put in them, i cannot thank enough)

artun

Really great video Glassbyte! Clear, concise explanation aided by stunning graphics, keep it up!

MR-sdof

That was awsome! the code follow up line by line was it for me. Nice work. Happily subscribed!

FernandoGonzalez-kizb

This is great explaination of theory and code!

vpgbngh

This is the best resource that is available.

AryanMishra_

Thank you for sharing! Could you please make more videos on different algorithms and python data structures?

akashj

Can you please share the repo link to access sample Python code used for this video

akashj

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