Python Classes and Inheritance

University of Michigan via Coursera

Go to Course: https://www.coursera.org/learn/python-classes-inheritance

Introduction

**Course Review: Python Classes and Inheritance on Coursera** If you are looking to deepen your understanding of object-oriented programming in Python, the "Python Classes and Inheritance" course on Coursera is an excellent choice. Designed for learners who already possess a foundational knowledge of Python, this course delves into the intricacies of classes, instances, inheritance, and best coding practices, providing a thorough comprehension of object-oriented programming concepts. ### Overview The course begins with an introduction to **classes and instances**, integral components of object-oriented programming. It emphasizes the importance of using classes to represent data in a natural and efficient manner. As you engage with the material, you will learn how to override built-in methods, which extends the functionality of standard Python objects to suit your unique use cases. One of the standout features of the course is its focus on **inheritance**, a powerful mechanism that encourages code reusability. You will explore the concept of "inherited" classes and how they can leverage existing functionality while allowing for customizations. This not only simplifies code management but also enhances the versatility of your programs. Another critical aspect of the course is its introduction to **designing classes**. Understanding how to thoughtfully create and organize your classes will significantly impact the readability and maintainability of your code. Beyond just coding prowess, the course instills a vital programming practice: writing **automated tests** for your code. This skill helps ensure that your applications function as intended and makes it easier to spot regressions in functionality as you make changes over time. ### Syllabus Breakdown 1. **Classes** - This module leverages the Runestone textbook, focusing on complex data structures. You will learn to work with JSON formatted data, which is crucial for modern applications. The module also covers nested data processing and extraction techniques, essential for any developer dealing with data-rich environments. 2. **Inheritance** - While the specific details of this module are not elaborated in the overview, you can expect to learn how inheritance can be employed to build upon existing classes, enabling more straightforward designs and reduction of redundancy in your code. 3. **Unit Testing and Exceptions** - A critical component for any programmer, this module will teach you how to implement unit tests to verify that individually distinct parts of your code are working correctly. You will also learn about exceptions, a vital concept to handle errors gracefully in your applications. ### Recommendation I highly recommend the "Python Classes and Inheritance" course for anyone looking to elevate their Python programming skills. This course is particularly suited for individuals who have a solid grasp of Python fundamentals and are eager to advance into more complex programming paradigms. The practical applications of the skills learned in this course extend beyond mere academic understanding; they are directly applicable in real-world coding scenarios. By the end of the course, you will not only be able to create robust classes and utilize inheritance effectively, but you will also adopt best practices in testing and handling exceptions, significantly improving the quality of your software. Whether you are a developer seeking to refine your skills, a student aiming to deepen your knowledge, or a professional looking to enhance your resume, this course is a valuable investment in your programming journey. Enroll now and take your Python skills to the next level!

Syllabus

Classes

In this module, lectures and activities from the Runestone textbook will cover more complex data structures. By the end of this week, you will have learned how to process json formatted data, traverse nested data using nested iteration, and extract values from nested data.

Inheritance

Unit Testing and Exceptions

Overview

This course introduces classes, instances, and inheritance. You will learn how to use classes to represent data in concise and natural ways. You'll also learn how to override built-in methods and how to create "inherited" classes that reuse functionality. You'll also learn about how to design classes. Finally, you will be introduced to the good programming habit of writing automated tests for their own code. The course is best-suited for you if you are already familiar with Python fundamentals,

Skills

Python Programming Code Debugging Code Testing

Reviews

Good continuation of the first three courses in this specialization. Clear introduction to classes, and nice survey of testing, exceptions, with a fun little game project at the end.

One of the best course I have ever attended. I really liked how challenging the assessment were. They really worked hard on their platform too. I highly suggest this course.

Very torough introduction to Python. Somewhat more time consuming than I might like it to be, no real chances to skip known materil by testing out of it, but otherwise excellent.

Really loved it! Thanks a lot for this one again, learnt quite a bunch about the classes and how to use them - will definetely help me in my professional level quite soon!

All of these courses have been really great. Courses 3 and 4 though have been a lot shorter and therefore it feels like the improvement and experience are not as great as in the first two courses.