9.7/10
Highly Recommended
Python Classes and Inheritance Course on Coursera — An "awesome" course that provides a challenging yet rewarding dive into object-oriented programming with Python. While the content may feel slightly less extensive than other specialization courses, the excellent materials and challenging final project effectively reinforce key concepts. It's a great next step for those with basic Python knowledge.
Pros
- Excellent materials and quizzes.
- Engaging and easy-to-understand explanations.
- Provides a good foundation for more advanced topics.
Cons
- The final project can be challenging and may require external research.
- The content amount is less than in other specialization courses.
Python Classes and Inheritance Course Course
Platform: Coursera
Instructor: University of Michigan
What will you learn in Python Classes and Inheritance Course
- Explore classes, instances, and inheritance to represent data efficiently.
- Gain insights into class design and cultivate the practice of writing automated tests for your code.
- Learn to override built-in methods and create inherited classes that reuse functionality.
- Use Object-Oriented Programming (OOP) to create more scalable and maintainable code.
Program Overview
Module 1: Introduction to Classes
⌛ 1 week
- Topics: User-defined classes, adding parameters to constructors, methods, and instance variables.
- Hands-on: Creating instances from data and testing classes.
Module 2: Objects and Instances
⌛ 1 week
- Topics: Converting objects to strings, special (dunderscore) methods, sorting lists of instances, and class vs. instance variables.
- Hands-on: Writing code to manipulate and sort objects.
Module 3: Inheritance ⌛ 1 week
- Topics: Inheriting variables and methods, overriding methods, invoking parent methods, and multiple inheritance.
- Hands-on: Building inherited classes to reuse functionality.
Module 4: Decorators
⌛ 1 week
- Topics: Function wrapping and decorators, decorators with classes, and property decorators.
- Hands-on: Applying decorators to functions and classes.
Job Outlook
- The skills learned are highly relevant for roles in software development and data engineering.
- Strong demand for professionals with Python and OOP skills.
- The median salary for a Python developer is estimated to be over $100,000 annually.
Explore More Learning Paths
Deepen your Python programming expertise with courses designed to enhance your object-oriented programming skills and apply Python to real-world projects and data science applications.
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FAQs
Will I gain skills in decorators and advanced Python OOP concepts?
Learn to apply function and class decorators, including property decorators. Practice wrapping functions and enhancing class functionality. Builds expertise for more maintainable and readable Python code. Enhances readiness for complex software development tasks. Skills directly transferable to backend development and professional coding projects.
How long will it take to complete the course and practice coding exercises?
Duration: approximately 4 weeks, self-paced. Modules include Introduction to Classes, Objects and Instances, Inheritance, and Decorators. Hands-on exercises reinforce each concept progressively. Final project may require independent research for deeper understanding. Suitable for learners seeking a focused yet intensive OOP training.
Can this course help me understand inheritance and code reuse in Python?
Covers inheriting variables and methods, overriding, and invoking parent methods. Includes multiple inheritance and best practices for class design. Provides hands-on exercises for reusing code across classes. Enhances skills for building larger Python applications. Useful for software development, backend engineering, and data-driven projects.
Will I learn to create and manage classes and objects effectively?
Teaches user-defined classes, constructors, methods, and instance variables. Covers converting objects to strings and using special (dunderscore) methods. Includes exercises for sorting and manipulating object collections. Helps learners understand class vs. instance variables. Prepares learners to write organized and reusable code.
Do I need prior Python experience to take this course?
Basic Python knowledge recommended; designed for learners familiar with syntax and functions. Focuses on object-oriented programming (OOP) concepts like classes, instances, and inheritance. Includes hands-on exercises to reinforce understanding. Prepares learners for scalable and maintainable Python coding practices. Suitable for aspiring software developers and data engineers.
