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 30,381 students in the Learn Data Structures and Algorithms in Python course

Read reviews of their learning experiences

A good early introduction to DSA. Gives its students everything they need to start working through D...

(5/5)
Cameron McCreery profile image

Cameron McCreery

Troy, New York

Hardest one so far. My brain is still digesting some of it. Anyways, go for it lads.

(5/5)
Felipe Venegas profile image

Felipe Venegas

Chile

So many valuable lessons in this unit, i will have to circle back though. There was a lot to learn

(5/5)
Kevin Longeway profile image

Kevin Longeway

Calgary, AB, Canada

It really hard than I expected, bro :,)))

(5/5)
Phong Trần profile image

Phong Trần

Vietnam

I think this is vital for ANY programmer to take. if you are going to stay in back-end, DSA is VITAL...

(5/5)
vlad voskanyan profile image

vlad voskanyan

United States

This course was a blast in the past. I review a majority of my algorithm knowledge in the span of 2 ...

(5/5)
Nathan Nguyen profile image

Nathan Nguyen

Houston, TX

This course was good overall however probably the weakest of the courses I took on here so far and t...

(3/5)
Dustin  profile image

Dustin

United States

This course is good for absolute beginners. It provides a solid overview of the basics, but addition...

(3/5)
Raman Jangu  profile image

Raman Jangu

India

this is hard, but worth it

(4/5)
Isfar Ali profile image

Isfar Ali

Pakistan

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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

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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.