Python Classes and Inheritance
This course is part of Python 3 Programming.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Python 3 Programming Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Create and implement custom Python classes with instance methods
Design efficient class hierarchies using inheritance
Write automated tests for code validation
Implement advanced Python features like decorators and exceptions
Develop practical applications using object-oriented principles
Skills you'll gain
This course includes:
4.75 Hours PreRecorded video
2 assignments
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FullTime access
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There are 4 modules in this course
This comprehensive course delves into object-oriented programming concepts in Python, focusing on classes, instances, and inheritance. Students learn to design and implement classes effectively, override built-in methods, and create inherited classes that reuse functionality. The course emphasizes practical skills through hands-on coding exercises and introduces automated testing practices. Advanced topics include decorators, exception handling, and real-world applications using Django.
Introduction
Module 1 · 2 Hours to complete
Classes
Module 2 · 6 Hours to complete
Extending and Modifying Classes with Inheritance and Decorators
Module 3 · 5 Hours to complete
More Advanced Functions and Exceptions
Module 4 · 6 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Python 3 Programming
Instructors
Michael D. Cohen Collegiate Professor of Information, and Director of the Center for Social Media Responsibility at UMSI.
Paul Resnick is the Michael D. Cohen Collegiate Professor of Information and Associate Dean for Research and Innovation at the University of Michigan's School of Information. He is recognized as a pioneer in the fields of recommender systems and reputation systems, significantly contributing to the development of the GroupLens system, which received the 2010 ACM Software Systems Award. Resnick co-authored the book "Building Successful Online Communities: Evidence-Based Social Design." He holds a bachelor's degree in mathematics from the University of Michigan and a doctorate in computer science from the Massachusetts Institute of Technology. Additionally, he served as a part-time consultant for Facebook from May 2018 to May 2020.
Innovator in Programming Tools and Usability
Steve Oney is an Assistant Professor at the University of Michigan School of Information, where his research focuses on creating tools that empower more individuals to write and customize computer programs. By addressing usability issues in programming environments, Oney aims to make programming more accessible. He completed his Ph.D. at Carnegie Mellon University's Human-Computer Interaction Institute, where he was advised by Brad Myers and Joel Brandt. Oney also holds undergraduate and master's degrees from MIT. His teaching includes courses on Python programming, including topics such as basics, classes and inheritance, and functions, files, and dictionaries.
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Frequently asked questions
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