Learn Object Oriented Programming in Python
Object-oriented programming is a pattern for organizing code that's critical whether or not you plan to make use of inheritance. Understand its most important tenets.
Author
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.
Matt
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Allan
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Hunter
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Dan
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18 Hours
of content
61 Addicting
lessons
Earn a certificate
of completion
Learn online
at your pace
What will you learn?
Learn the fundamentals of the most widely-used programming paradigm today: object-oriented programming. You will model real-world problems within your programs, and learn how to write code that is easy to understand and maintain. By the end of this course you'll be writing production-quality Python code.
Chapter List
Join 2,648 students in the Learn Object Oriented Programming in Python course
Read reviews of their learning experiences
Loved the pacing and depth.
VAMSI DEVALLA
Philadelphia
Fantastic! The explanations were crisp and the demos were grounded in real engineering scenarios. What stood out to me was the clear discussion around testing strategies and how to evolve a codebase over time. The sample repository was well-structured and made it simple to jump between sections. I’d love to see a follow-up lesson that goes deeper into profiling and performance tuning.
Tim Adizov
San Francisco Bay Area
Fantastic! The explanations were crisp and the demos were grounded in real engineering scenarios. What stood out to me was the clear discussion around testing strategies and how to evolve a codebase over time. The sample repository was well-structured and made it simple to jump between sections. I’d love to see a follow-up lesson that goes deeper into profiling and performance tuning.
Adeyemi Olaoye
Berlin, Germany
Solid overview with just enough depth to be practical.
Rohit Sharma
New Delhi
Loved the pacing and depth.
Ehsan Vessal
San Diego, CA
Fantastic! The explanations were crisp and the demos were grounded in real engineering scenarios. What stood out to me was the clear discussion around testing strategies and how to evolve a codebase over time. The sample repository was well-structured and made it simple to jump between sections. I’d love to see a follow-up lesson that goes deeper into profiling and performance tuning.
Biswajit Samal
India, Banglore
Solid overview with just enough depth to be practical.
BELAIFA EL HUSSEIN
boudouaou,boumerdec,algerie
I appreciated how the instructor broke down the core concepts into digestible steps. The examples were practical and mirrored what I encounter in my day-to-day work. In particular, the section on error handling and observability tied everything together. If I had a minor nitpick, it would be that the pacing sped up in the last module, but the accompanying notes and code samples made it easy to revisit and cement the ideas.
Grace
Bristol
Challenging but rewarding.
JianQiu Hwang
广州
Showing 1-9 of 10
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