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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 36,155 students in the Learn Data Structures and Algorithms in Python course

Read reviews of their learning experiences

Excellent course. The course could have been a bit more theoretical, like with proofs on Complexity calculations and proofs on the correctness of the algorithms.

(5/5)
angshuk nag profile image

angshuk nag

India

Really fun exercises in this course, feel like I learnt a lot and will be sure to revisit this course in the future.

(5/5)
Sam  profile image

Sam

United States

Excellent course on data structures. It touches every relevant topic on the subject in a meaningful way without being exhausting. And a bit challenging too.

(5/5)
Valberto Enoc Rodrigues profile image

Valberto Enoc Rodrigues

Recife, Brazil

This course will help you learn about data structures and algorithms.

(5/5)
Matthew Dixon profile image

Matthew Dixon

United States

Excellent introduction to many DS&A concepts.

(5/5)
Zin  profile image

Zin

United States

Very good course!

(5/5)
Pedro Silveira profile image

Pedro Silveira

Peruíbe, Brasil

What a doozy of a course. This one was slow going and I'll have lots to go back over. Thanks a ton, team BOOT.DEV!

(5/5)
Alexander Wilson profile image

Alexander Wilson

Australia

A lot of difficult but important topics to know

(4/5)
Roderick  profile image

Roderick

The Netherlands

good

(5/5)
Jackson  profile image

Jackson

loveland

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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.