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Learn Advanced Algorithms

This Python course is not for the faint of heart. It covers graphs, dynamic programming, and linear programming among other things.

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Lane

Author

Lane is a back-end engineer and the lead instructor of Boot.dev. He has taught over one million students worldwide, on Boot.dev, FreeCodeCamp, YouTube and the Backend Banter podcast. Lane worked as a backend engineer writing Go, Python and TypeScript, then moved into engineering management and a couple of years later left to build Boot.dev full-time.

Sarah

Maintainer

Allan

Maintainer

Matt

Maintainer

Hunter

Maintainer

Learn Advanced Algorithms

You might know algorithms, but do you know advanced algorithms? We're not really sure what that means either, because the distinction is a bit arbitrary. In a nutshell, this is an extension of our basic algorithms course, and here you'll learn more niche algorithms and pick up new ways of thinking that will help you advance your career from a junior to a senior developer.

22 Hours

of interactive content

77 Addicting

lessons and quizzes

Earn a certificate

of completion

A key part of

the back-end track

Avoid tutorial hell

by writing a ton of code

Learn online

to not interrupt life

Chapter List

1
Dijkstra's
Learn about Dijkstra's algorithm, one of the best ways to find the shortest path between two points
2
Bellman Ford
Implement the Bellman Ford algorithm, a specialized way to find the shortest path on a weighted graph
3
Heaps
Master priority queues and heaps. You'll efficiently find the minimum or maximum element in a collection
4
A* Search
The A* algorithm is an advanced search that uses heuristics to guide the search to a more optimal solution
5
Dynamic Programming
Dynamic programming is all about trading space for time, learn how we can take exponential problems and make them linear
6
Edit Distance
Edit distance is a classic problem in computer science, learn how to solve it with dynamic programming
7
Linear Programming
Learn about how to solve complex optimization problems

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