Learn Data Structures and Algorithms in Python

Build data structures from scratch and learn how to think through complex algorithms in Python. Practice your hard problem-solving skills and write faster code to feel confident in interviews.

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

Join 29,365 students from companies like

32 Hours

of content

175 Addicting

lessons

Earn a certificate

of completion

Learn online

at your pace

What will you learn?

If you've had trouble getting past a hard whiteboarding session, this course is for you. Big-O complexity is arguably the most important concept students learn in a formal computer science degree. You'll build data structures from scratch in Python and improve your problem-solving skills. We'll cover binary trees, linked lists, stacks, graphs and more. This Python course will give you the foundation you need to start your career off on the right foot. After completing this course, you'll be comfortable crushing interview questions and writing performant code.

Chapter List

Algorithms Intro

Learn about what algorithms are and why they matter

Math

Learn the math required to understand Big-O notation, namely exponents, logarithms, and factorials

Big-O Analysis

Figure out what Big-O notation and time complexity mean in the context of algorithms and performant code

Sorting Algorithms

Learn how data is sorted on a computer, and how to sort it faster

Exponential Time

Understand why exponential time complexity is so dangerous

Data Structures Intro

Learn about data structures and how they play a critical role in algorithms

Stacks

Learn about stacks, the original LIFO data structure and build one from scratch

Queues

Learn about the FIFO queue data structure and how to implement a simple one from scratch

Linked Lists

Understand how linked lists vary from arrays and how to use one to build a faster queue

Binary Trees

Learn about binary trees, what they are used for, and implement one from scratch

Red Black Trees

Solve the classic balancing problem of traditional binary trees with a red-black algorithm

Hashmaps

Build a hashmap from scratch and learn how to use the Python dictionary type effectively

Tries

Build all the methods of a trie class, and efficiently search entire documents of text

Graphs

Learn about graph structures and how we can use them to quickly solve a wide array of search problems

BFS and DFS

Implement and understand the ever-famous breadth first and depth-first search algorithms

P vs NP

Learn about P and NP

Join 29,365 students in the Learn Data Structures and Algorithms in Python course

Read reviews of their learning experiences

Another great course.

(5/5)

Jure Farič

Murska Sobota, Slovenia

Extremely useful, tons of new stuff to learn and practice.

(5/5)

Luca Miolla

Germany

Stephen Hawking is a retard!

(4/5)

Howard Felix

Bangkok, TH

Highly recommended, tough enough to get you thinking, but sufficiently helpful to get you through to...

(5/5)

Nate Johnson

United States

so hard man geez

(4/5)

Hudson Woomer

United States

Hard but good. And good when it's done :)

(5/5)

Matthieu Rauscher

United Kingdom

Thank you, I think it was the most time demanding until now, but very good.

(5/5)

Karim Chaya

Rosario, Argentina

Good course!

(4/5)

Rafael Alejandro Rojas Diaz

Venezuela

One note: It would be great if you could include the requirements for each course, including this on...

(4/5)

Dimitris Panas

thessaloniki

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

Avoid tutorial hell

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Delve deeper

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Learn flexibly online

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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.