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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 36,850 students in the Learn Data Structures and Algorithms in Python course

Read reviews of their learning experiences

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

Thar be dragons in this course!

(5/5)
Brett Mattas profile image

Brett Mattas

United States

Great course and I've learned a lot. Difficult and fun. Could do with more visual explanations and leetcode-style exercises with less pseudocode after concept introduction.

(4/5)
OK-Kokei  profile image

OK-Kokei

Ireland

Great course! Interesting and if you're having problems there will always be Boots by your side.

(5/5)
Przemysław Graczyk profile image

Przemysław Graczyk

Warsaw, Poland

Great course, really complete but hard...be ready

(4/5)
Vincent EK profile image

Vincent EK

France

A must do. A very comprehensive approach to a sophisticated topics. Absolutely recommends.

(5/5)
Maxime Pellet profile image

Maxime Pellet

France

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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

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Build portfolio projects

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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.