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, which are covered in the "Python Basics" and "Python Functions, Files, and Dictionaries" courses (courses 1 and 2 of the Python 3 Programming Specialization). It is optional to have taken the "Data Collection and Processing with Python" course (course 3 of the specialization), but knowledge of retrieving and processing complex nested data is helpful.
This is the fourth of five courses in the Python 3 Programming Specialization.
提供方
教学大纲 - 您将从这门课程中学到什么
周
1完成时间为 6 小时
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.
14 个视频 （总计 79 分钟）, 13 个阅读材料, 3 个测验
14 个视频
Welcome to Python Classes and Inheritance3分钟
How to Use the Interactive Textbook14分钟
User-Defined Classes9分钟
Adding Parameters to the Constructor3分钟
Adding Other Methods to a Class6分钟
Instance Variable Search Order2分钟
Example: Creating Instances from Data6分钟
Converting an Object to a String3分钟
Special (dunderscore) Methods3分钟
Instances as Return Values3分钟
Sorting Lists of Instances3分钟
Class Variables and Instance Variables6分钟
Thinking About Classes and Instances1分钟
13 个阅读材料
Syllabus10分钟
Introduction: Classes and Objects - The Basics10分钟
Objects Revisited10分钟
User-Defined Classes10分钟
Adding Parameters to the Constructor10分钟
Adding Other Methods to a Class10分钟
Objects as Arguments and Parameters10分钟
Converting an Object to a String10分钟
Instances as Return Values10分钟
Sorting Lists of Instances10分钟
Class Variables and Instance Variables10分钟
Thinking About Classes and Instances10分钟
A Tamagotchi Game10分钟
1 个练习
Optional - What Did You Use to Practice This Week?10分钟
周
2完成时间为 4 小时
Inheritance
3 个视频 （总计 28 分钟）, 5 个阅读材料, 3 个测验
5 个阅读材料
Introduction: Class Inheritance10分钟
Inheriting Variables and Methods10分钟
Overriding Methods10分钟
Invoking the Parent Class's Method10分钟
Tamagotchi Revisited10分钟
1 个练习
Optional - What Did You Use to Practice This Week?30分钟
周
3完成时间为 7 小时
Unit Testing and Exceptions
13 个视频 （总计 94 分钟）, 9 个阅读材料, 4 个测验
13 个视频
The test.testEqual Function4分钟
Return Value Tests8分钟
Side Effect Tests9分钟
Program Development with Test Cases6分钟
Testing Classes7分钟
Conclusion: Test Cases2分钟
Exception Handling Flow-of-control6分钟
When to use Try/Except3分钟
Handling Different Exception Types6分钟
Introduction to Django17分钟
How Django Uses Classes and Inheritance14分钟
Introduction - Final Course Project4分钟
9 个阅读材料
The test.testEqual Function10分钟
Writing Test Cases for Functions10分钟
Program Development10分钟
Testing Classes10分钟
What is an Exception?10分钟
Exception Handling Flow-of-control10分钟
Raising and Catching Errors10分钟
When to use Try/Except10分钟
Standard Exceptions10分钟
4.7
24 个审阅热门审阅
One of the best courses I have taken so far. all the materials are very concise and helpful in understanding some daunting concepts
Just a fantastic class, really getting into and explaining some principles of Object Oriented Design. I was thoroughly challenged.
讲师
Steve Oney
Assistant ProfessorSchool of Information
Paul Resnick
Michael D. Cohen Collegiate ProfessorSchool of Information
关于 密歇根大学
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
关于 Python 3 Programming 专项课程
This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.
You will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.
By the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.
This specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.
But it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.
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