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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.

What you'll learn in this Python course

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 42,873 students in the Learn Data Structures and Algorithms in Python course

Read reviews of their learning experiences

The depth of the material is genuinely impressive, and the creators did a solid job covering such a massive amount of algorithmic theory. However, digesting this volume of complex concepts purely through text can feel overwhelming at times. While the built-in AI assistant helps bridge the gap when you get stuck, having short video demonstrations, animated visualizers, or step-by-step diagrams directly in the lessons would make this dense theory much easier to absorb.

(3/5)
Jorbaty  profile image

Jorbaty

Kyiv, Ukraine

Really good deep dive into DSA concepts seen in production environments. Got my brain wrinkly and ready to go.

(5/5)
Desmond Phillips profile image

Desmond Phillips

United States

Pretty good introduction to algorithms and data structures

(5/5)
Aduneer  profile image

Aduneer

Germany

learned a lot, very fun, would recommend

(5/5)
y  profile image

y

United States

As a non-CS STEM degrees haver (which help with math), I thoroughly enjoyed this course. I gained some insight into CS topics I previously had heard of but never looked into, and learned some new-to-me practical programming skills in the process too.

(5/5)
Sinan Akkaya profile image

Sinan Akkaya

United States

Quite dense and comprehensive, but the lessons broke it up step by step really nicely so it's easy to absorb. I'd recommend it, you'll learn a good bit.

(5/5)
Lindsay Lander profile image

Lindsay Lander

Singapore

not that easy but very practical

(4/5)
Paul Naber profile image

Paul Naber

Hannover, Germany

A strong course that introduces just about every important aspect of structuring and processing data. Could really feel ready to finally pursue LeetCode challenges, since it helps getting further familiarized with Python.

(5/5)
awp  profile image

awp

Puerto Rico

hard

(4/5)
Element _ profile image

Element _

Petrolia, 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.