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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 39,256 students in the Learn Data Structures and Algorithms in Python course

Read reviews of their learning experiences

This course was much harder but also very rewarding when I was able to solve them.

(5/5)
Fred profile image

Fred

United States

Very but important course about the basics of computing

(4/5)
Jan Willem profile image

Jan Willem

Ede, Nederland

This course should be even early on the journey. Really well explained concepts and the advantage of having the editor just beside the lessons is great. Data Structures and Algorithms are the "real" swiss army on your tech/dev journey, is dry, hard, ugly and sometimes leave you with more doubts than certains but is one of those things that you can carry on with you always. If tomorrow "current-hype-framework" goes into the dark you can jump into another with mostly no friction.

(5/5)
SERGIO profile image

SERGIO

Argentina

This is a really curse for DSA, talk about every field, explain very well the main concepts

(5/5)
Moisés Dos Santos profile image

Moisés Dos Santos

Angola

I don't like Algorithms and Data Structures. It was fun to try and solve the challenges but most of them had me feeding boots a bunch of baked fish.

(3/5)
Hallicon Wolf profile image

Hallicon Wolf

United States

Very hard lol

(5/5)
Baggers profile image

Baggers

United Kingdom

I took this course to revise concepts since tech interviews like asking about these concepts. I found the practical exercises useful since that meant I was entering problem-solving mode very often rather than passively reading. Although, I did find hand-holding done for certain topics. Maybe beginners might prefer that kind of stuff. Overall, a helpful course.

(4/5)
Diksha Todankar profile image

Diksha Todankar

Mumbai, India

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

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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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