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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.

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

1
Algorithms Intro
Learn about what algorithms are and why they matter
2
Math
Learn the math required to understand Big-O notation, namely exponents, logarithms, and factorials
3
Big-O Analysis
Figure out what Big-O notation and time complexity mean in the context of algorithms and performant code
4
Sorting Algorithms
Learn how data is sorted on a computer, and how to sort it faster
5
Exponential Time
Understand why exponential time complexity is so dangerous
6
Data Structures Intro
Learn about data structures and how they play a critical role in algorithms
7
Stacks
Learn about stacks, the original LIFO data structure and build one from scratch
8
Queues
Learn about the FIFO queue data structure and how to implement a simple one from scratch
9
Linked Lists
Understand how linked lists vary from arrays and how to use one to build a faster queue
10
Binary Trees
Learn about binary trees, what they are used for, and implement one from scratch
11
Red Black Trees
Solve the classic balancing problem of traditional binary trees with a red-black algorithm
12
Hashmaps
Build a hashmap from scratch and learn how to use the Python dictionary type effectively
13
Tries
Build all the methods of a trie class, and efficiently search entire documents of text
14
Graphs
Learn about graph structures and how we can use them to quickly solve a wide array of search problems
15
BFS and DFS
Implement and understand the ever-famous breadth first and depth-first search algorithms
16
P vs NP
Learn about P and NP

Join 37,399 students in the Learn Data Structures and Algorithms in Python course

Read reviews of their learning experiences

Great intro and overview of foundational algorithms and data structures

(5/5)
Zachary Taylor profile image

Zachary Taylor

United States

great course. pretty sure I'm not going to remember a thing. be sure to regularly create challenges for these so you have a better shot of understanding and remembering.

(5/5)
Garrett Anderson profile image

Garrett Anderson

United States

Exponentially harder than all previous courses if you're someone that doesn't have technical background.

(5/5)
Enrique QS profile image

Enrique QS

Alicante, Spain

DSA is always a slog, this is by far the most tolerable way to learn it.

(4/5)
Cameron MacKinnon profile image

Cameron MacKinnon

Australia

I have never heard of Tries until this course. I think it was a great re-visiting of all things Data Structures and it left me better off!

(5/5)
Curtis Allen Jester profile image

Curtis Allen Jester

Athens, GA

This course was fantastic! Lots of great examples to learn about the topics and to practice my Python skills.

(5/5)
Kyle Grosser profile image

Kyle Grosser

United States

I am smart now

(5/5)
Tom  profile image

Tom

Latvia

Mostly good course, but I would have preferred that the course have broken up a few of the code challenges instead of inserting pre-built helper functions.

(4/5)
William Drell profile image

William Drell

United States

Got a bit confusing near the end with NP and P, but I stuck with it and completed it :)

(4/5)
d3rpy d3rp_d3rp profile image

d3rpy d3rp_d3rp

Canada

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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.