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via Udemy |
Go to Course: https://www.udemy.com/course/advanced-oop-with-python/
Certainly! Here's a detailed review and recommendation for the Coursera course on Object-Oriented Design in Python: --- **Course Review and Recommendation: Object-Oriented Design in Python (Beyond Intermediate Level)** If you’re a Python developer eager to deepen your understanding of object-oriented programming (OOP) in Python, this course is an excellent choice. Taught by Loek van den Ouweland, a seasoned software engineer with 25 years of experience, this course focuses on advancing your OOP skills beyond the basics, with a particular emphasis on Python’s unique language features. **Course Overview** This course offers a comprehensive exploration of advanced OOP concepts in Python, including classes, objects, inheritance, polymorphism, encapsulation, and Python-specific implementation details such as method overriding, overloading, and the use of properties. The curriculum is designed not only to teach theoretical concepts but also to provide practical exercises that help solidify your understanding. **What You Will Learn** - Deepen your knowledge of class and object design, including constructors, special methods like `__str__` and `__repr__` - Master inheritance techniques, method overriding, and the use of `super()` - Understand Python-specific features like dynamic typing, static type checking, and overloading - Explore polymorphism, the open-closed principle, and interfaces/protocols to write more flexible and reusable code - Learn about encapsulation, attribute visibility, name mangling, and the use of properties to control attribute access - Discover how Python treats classes as objects and utilizes class and static methods **Target Audience** This course is ideal for: - Python developers who have mastered basic OOP concepts and want to expand their knowledge - Developers with experience in other OO languages aiming to adapt their skills to Python’s idiomatic style - Self-taught programmers seeking to adopt best practices for maintainable and Pythonic OOP design - Anyone interested in making better decisions about when and how to apply OOP features effectively in Python **Course Duration and Format** The course is approximately 2 hours of video content, complemented by 3 hours of practical exercises. This balance ensures you can immediately practice and apply the concepts discussed. **Instructor** Loek van den Ouweland brings a wealth of real-world experience, having created popular applications like Wunderlist for Windows and Microsoft To-Do. His teaching approach combines clarity with practical insights, making complex topics accessible. **Pros** - Focus on Python’s unique features for OOP - Practical exercises reinforce learning - Suitable for intermediate and advanced learners - Clear and experienced instructor **Cons** - Slightly condensed content; could benefit from more real-world examples - Requires prior knowledge of basic Python and OOP principles **Final Verdict & Recommendation** This course is highly recommended for Python developers ready to elevate their OOP skills to the next level. It bridges the gap between theoretical understanding and practical application, emphasizing Pythonic best practices. Whether you're coming from another programming background or self-taught in Python, you'll benefit from the insights shared. **If you want to:** - Write more efficient, maintainable, and Pythonic object-oriented code - Understand the internal mechanics of classes and objects in Python - Make informed design decisions about using OOP features effectively then this course is definitely worth your time. --- Feel free to ask if you'd like a more tailored review or additional recommendations!
This course teaches Object Oriented Design in Python beyond intermediate level. The course solidifies and deepens your knowledge about classes, objects, inheritance and polymorphism. You will learn many Python specific class and object implementation details of construction, overriding and overloading. Work through many exercises that allows you to practice common OOP tasks.Target audienceDevelopers who especially benefit from this course, are:Python developers who learned the basics of OOP and want a deeper dive into the mechanics of OOP in Pythondevelopers who bring experience from another OO programming language and want to learn how to use OOP in Pythonself-taught OOP developers who want to improve their skills by learning best practicesChallengesStudents that are interested in this course often know basic OOP features but are not yet aware of Python's unique language features that allows them to work object oriented in a Pythonic way. This can lead to verbose or inefficient code. It is my goal to teach you up-to-date, preferred ways to work with OOP in Python and make your code structured and maintainable.What can you do after this course?make better decisions when and how to use OOP features in your codecreate more efficient classes by integrating Python's built-in language featuresembrace the dynamic character of Python by using structural type checkingTopicsClasses and Objects: Class instantiation, self, data attributes, UML, methods, __str__, __repr__, constructorInheritance: Inherit, extend and override methods, access to base class via super, abstract base classOOP in a dynamic language: Dynamically typing, Static type checking, overloadingPolymorphism: Open-closed principle, type equality, interfaces and protocolsEncapsulation: Attribute visibility. name mangling, propertiesClasses in Python: Class as object, class variables, class and static methodsDuration2 hours video time, 3 hours including practicing exercises.The teacherThis course is taught by Loek van den Ouweland, a senior software engineer with 25 years of professional experience. Loek is the creator of Wunderlist for windows, Microsoft To-do and Mahjong for Windows and loves to teach software engineering.