Learn Data Structures and Algorithms in Python
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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.
Instructor
Lane Wagner
Lane is a back-end engineer and the lead instructor of Boot.dev. He has taught over one million students worldwide, on Boot.dev, FreeCodeCamp, YouTube and the Backend Banter podcast. Lane worked as a backend engineer writing Go, Python and TypeScript, then moved into engineering management and a couple of years later left to build Boot.dev full-time.
Course details
175+ lessons
Interactive
Included
Free
What you'll learn
Build data structures from scratch in Python
Analyze algorithms using Big-O notation
Implement sorting algorithms for efficient data handling
Create and manipulate stacks and queues
Prerequisites
Basic Python programming knowledge
Understanding of programming fundamentals
Who this course is for
Python developers preparing for technical interviews
Backend developers wanting to master data structures
Students seeking practical algorithm implementation skills
Curriculum
Algorithms Intro
Math
Big-O Analysis
Sorting Algorithms
Exponential Time
Data Structures Intro
Stacks
Queues
Linked Lists
Binary Trees
Red Black Trees
Hashmaps
Tries
Graphs
BFS and DFS
P vs NP
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