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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 37,878 students in the Learn Data Structures and Algorithms in Python course

Read reviews of their learning experiences

Good course, but get HELP (Not Answers) from your favorite Generative Artificial Intelligence (GenAI) assistants. Great content, but this course is written to think you have our Masters in C.S. Not beginner friendly, lots of assumptions that you know C.S. inside and out. Hard topics have minimal explanations. But still, it was fun

(3/5)
Pawan  profile image

Pawan

San Jose

this one took patience. there are many complex theories to analyze

(5/5)
Zane Aston profile image

Zane Aston

United States

Hard but rewarding definitely

(5/5)
Yahir Molina  profile image

Yahir Molina

Mexico

Very nice course with some tricky problems to solve

(5/5)
Devin Hasler profile image

Devin Hasler

Bern

A nice look under the hood and also a good practice and recap for the previous introductory python courses. A good bit of reading and practice required but one gets out much wiser for it.

(5/5)
Pavlos Pappas profile image

Pavlos Pappas

Cyprus

I found this one much more difficult to previous courses but I'm sure I learned a lot from it!

(5/5)
Perry Howe profile image

Perry Howe

United Kingdom

This is hard, but it gives you a real quick overview of CS ideas and how thing work under the hood.

(5/5)
Vincent  profile image

Vincent

Germany

Phew! Okay, that was... challenging, to say the least. Especially if you're new to algorithms. But there so much new and useful information that I think everyone has to complete this course, really. It's comprehensive enough, with understandable, fun lessons which will teach you basic things, and much more beyond that. This course really makes you think hard, but you will love that.

(5/5)
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no name

Russia

I'd use a hashmap here

(4/5)
Ian L profile image

Ian L

United States

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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.