Learn Data Structures and Algorithms 2 in Python
This Python course is not for the faint of heart. It covers graphs, dynamic programming, and linear programming among other things.
Author
Lane Wagner
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.
Allan
Maintainer
Matt
Maintainer
Hunter
Maintainer
Dan
Maintainer
22 Hours
of content
77 Addicting
lessons
Earn a certificate
of completion
Learn online
at your pace
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
Join 495 students in the Learn Data Structures and Algorithms 2 in Python course
Read reviews of their learning experiences
Short but impactful—taught me exactly what I needed.
Lalit Kumar
Bangalore, Karnataka, India
Loved the pacing and depth.
Jacob Alarcon
Brownsville, Texas
I appreciated how the instructor broke down the core concepts into digestible steps. The examples were practical and mirrored what I encounter in my day-to-day work. In particular, the section on error handling and observability tied everything together. If I had a minor nitpick, it would be that the pacing sped up in the last module, but the accompanying notes and code samples made it easy to revisit and cement the ideas.
Satyendra KumarSingh
Hyderabad, India
Could use more exercises, but solid overall.
Tejas Koradiya
Ahmedabad,India
Loved the pacing and depth.
Mat Beecher
USA
I appreciated how the instructor broke down the core concepts into digestible steps. The examples were practical and mirrored what I encounter in my day-to-day work. In particular, the section on error handling and observability tied everything together. If I had a minor nitpick, it would be that the pacing sped up in the last module, but the accompanying notes and code samples made it easy to revisit and cement the ideas.
Albertc
Hong Kong
This lesson exceeded my expectations. I went in thinking I knew the basics, but the deeper dives into trade-offs and edge cases were exactly what I needed. The instructor didn’t just show ‘happy path’ solutions: they demonstrated how to think about failure modes, performance bottlenecks, and future extensibility. The capstone project, while optional, gave me the perfect sandbox to experiment and get feedback.
Matthew Banbury
Space
The real-world context made the concepts click for me.
Tinca Maria Silvana
Romania
Loved the pacing and depth.
Bonveio Abitona
Philippines
Showing 1-9 of 10
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.
Platform
Languages
Subjects
Support
Pricing
Community
