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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 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 38,948 students in the Learn Data Structures and Algorithms in Python course

Read reviews of their learning experiences

One of the much simpler ways I've had to learn about P vs. NP. Great guidelines, and Boots is always a present helper.

(4/5)
Chika Peters profile image

Chika Peters

Ibadan, Nigeria

Useful, but overcomplicated.

(3/5)
John Cena profile image

John Cena

United States

Not enough background info for the mathematically challenged.

(3/5)
CircuitOn Si_14 profile image

CircuitOn Si_14

United States

I liked the course but felt that the instructions where generally vague and sometimes confusing. Boots helped a lot here. DSA is a hard topic it requires a lot of patience, practice and understanding. The complexity curve escalated quite quick so be prepared to do some googling. Avoid getting answers from an LLM but rather do try and have a sketch pad for drawing and visualising the problem.

(4/5)
Juan Jose GG profile image

Juan Jose GG

Germany

very nice course, it is long and requires time and concentration.

(5/5)
Liam Desveaux profile image

Liam Desveaux

Mauritius, Pointe aux Sables

I am terrified of my newfound power.

(5/5)
Wellington Creat profile image

Wellington Creat

Netherlands

An excellent journey that both exposes a novice to these fundamental concepts and reinforces learning core python data structures.

(5/5)
Ed Sponsler profile image

Ed Sponsler

United States

A must for anyone learning to code

(5/5)
Ignacio Robles profile image

Ignacio Robles

Maitencillo, Chile

Very tough course, but extremely educational.

(5/5)
Mike Davidson profile image

Mike Davidson

Flat Rock, USA

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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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