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Learn Data Structures and Algorithms 2 in Python

The sequel is harder: graphs, dynamic programming, and the problem-solving reps interviews actually test.

What will you learn?

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.

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

Join 3,552 students in the Learn Data Structures and Algorithms 2 in Python course

Read reviews of their learning experiences

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(5/5)
鹤 陈 profile image

鹤 陈

Japan

Except for the final chapter, it was a cool course.

(5/5)
Paweł Balcerek profile image

Paweł Balcerek

Poland

A cool course that gives you the basics of some graph traversal algorithms and some problem solving paradigms. I wish it went more in depth on some subjects, though.

(5/5)
C Herdinator profile image

C Herdinator

Mexico

Does not hold your hand and goes from 0 to 60 FAST.

(5/5)
Cameron McCreery profile image

Cameron McCreery

Troy, New York

Great course to understand algorithms deeply

(5/5)
Leonids Sama profile image

Leonids Sama

Latvia

This course delves even deeper into all of the wonderful algorithms and how to apply them to practical issues. It is a clear asset for every Python programmer!

(4/5)
Craig Yanitski profile image

Craig Yanitski

Edmonton, Canada

I enjoyed extending my DSA knowledge.

(5/5)
Stephen Cotterrell profile image

Stephen Cotterrell

South Africa

since you just have to follow the instructions, it's easy to turn off your brain and implement the algos, you actually have to take some time to understand why you are doing what you are doing, use boots if you have mental gaps

(3/5)
infopek  profile image

infopek

Hungary

Great course for getting started with Graphs, Advanced Algorithms and Dynamic Programming

(4/5)
Umrao Krishna Singh profile image

Umrao Krishna Singh

India

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Mediocrity doesn't cut it anymore

The only way to become a great developer is to write a lot of code

Avoid tutorial hell

by writing a ton of code

Stay motivated with

a game-like curriculum

Build portfolio projects

to prove your skills

Delve deeper

into foundational concepts

Learn flexibly online

without interrupting your life

For 1% the price of college

to minimize your financial risk

Frequently asked Questions

Got questions? We've got answers

Yes! It's free to create an account and start learning. You'll get all the immersive and interactive features for free for a few chapters. After that, if you still haven't paid for a membership, you'll be in read-only (content only) mode.