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Learn Data Structures and Algorithms in Python

Build the data structures yourself, then use them to solve harder problems with less guessing.

Browse Lessons (read-only)

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 40,409 students in the Learn Data Structures and Algorithms in Python course

Read reviews of their learning experiences

i enjoyed this course but it is tough from the mid point the end

(5/5)
Steven profile image

Steven

Canada

I like it, but things are hard to visualize

(4/5)
nodo profile image

nodo

Germany

Really important theory. This course was easily doable with only browser.

(5/5)
Olli Allan Sundberg profile image

Olli Allan Sundberg

Turku, Finland

Tough but great.

(5/5)
Kelvin Kitheka profile image

Kelvin Kitheka

Netherlands

Course it worth it. But, the course if hard to to understand. Will definitely be come back to dig deeper.

(4/5)
Mark Hamlin profile image

Mark Hamlin

United States

At first I thought this course would be hard, but then I realized it was... _NP_

(4/5)
Farhan Jiwani profile image

Farhan Jiwani

Canada

The concepts hurt my brain a little bit, but the coding is manageable.

(4/5)
Maureen Boyle profile image

Maureen Boyle

United States

Not a bad course. A quick run through of different structures. Not particularly in depth for any of them, but enough to give you a general background and introduction to some of the considerations when choosing algorithms or data structures.

(4/5)
Goosecheese profile image

Goosecheese

Carrum downs, Victoria, Australia

Not building the logic, only implementing it

(4/5)
Onur Bera Çoban profile image

Onur Bera Çoban

Turkey

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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.

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