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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 37,144 students in the Learn Data Structures and Algorithms in Python course

Read reviews of their learning experiences

Got a bit confusing near the end with NP and P, but I stuck with it and completed it :)

(4/5)
d3rpy d3rp_d3rp profile image

d3rpy d3rp_d3rp

Canada

Overall good. The red black tree was too hard to understand. More visuals or sub problems in the course could help.

(4/5)
Samuel Robinson profile image

Samuel Robinson

Australia

This is an excellent introduction to data structure concepts and general algorithmic thinking, useful for new learners or as a refresher/gap filler.

(5/5)
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fire

San Francisco

Essential knowledge to take beginners to the next level.

(4/5)
Ryan Phillips profile image

Ryan Phillips

Colorado

FANTASTIC! A challenging and thoughtful introduction to data structures and algorithms.

(5/5)
Tyler Shetrompf profile image

Tyler Shetrompf

United States

Quite challenging, but truly rewarding! Great course, I learned a ton!

(5/5)
Bradley Williams profile image

Bradley Williams

United States

I really enjoyed this course. The content was challenging but also very enlightening. I learned a lot of new dsa concepts and their use cases. I really appreciate the hands on approach to learning and problem solving that forces you to directly apply what you are being taught for true learning reinforcement.

(5/5)
Kamari M. profile image

Kamari M.

United States

A great course on how algorithms and data structures work, with some useful real world applications as well as some pretty challenging maths concepts.

(4/5)
James  profile image

James

United Kingdom

Very good course even if you are familiar with algorithms

(5/5)
Erfan Alizadeh Noohi profile image

Erfan Alizadeh Noohi

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.