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.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Python 3 Programming
Python Classes and Inheritance
von
Lehrplan - Was Sie in diesem Kurs lernen werden
Woche
16 Stunden zum Abschließen
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 Videos (Gesamt 79 min), 13 Lektüren, 3 Quiz
14 Videos
Welcome to Python Classes and Inheritance3m
How to Use the Interactive Textbook14m
User-Defined Classes9m
Adding Parameters to the Constructor3m
Adding Other Methods to a Class6m
Instance Variable Search Order2m
Example: Creating Instances from Data6m
Converting an Object to a String3m
Special (dunderscore) Methods3m
Instances as Return Values3m
Sorting Lists of Instances3m
Class Variables and Instance Variables6m
Thinking About Classes and Instances1m
13 Lektüren
Syllabus10m
Introduction: Classes and Objects - The Basics10m
Objects Revisited10m
User-Defined Classes10m
Adding Parameters to the Constructor10m
Adding Other Methods to a Class10m
Objects as Arguments and Parameters10m
Converting an Object to a String10m
Instances as Return Values10m
Sorting Lists of Instances10m
Class Variables and Instance Variables10m
Thinking About Classes and Instances10m
A Tamagotchi Game10m
1 praktische Übung
Optional - What Did You Use to Practice This Week?10m
Woche
24 Stunden zum Abschließen
Inheritance
3 Videos (Gesamt 28 min), 5 Lektüren, 3 Quiz
5 Lektüren
Introduction: Class Inheritance10m
Inheriting Variables and Methods10m
Overriding Methods10m
Invoking the Parent Class's Method10m
Tamagotchi Revisited10m
1 praktische Übung
Optional - What Did You Use to Practice This Week?30m
Woche
37 Stunden zum Abschließen
Unit Testing and Exceptions
13 Videos (Gesamt 94 min), 9 Lektüren, 4 Quiz
13 Videos
The test.testEqual Function4m
Return Value Tests8m
Side Effect Tests9m
Program Development with Test Cases6m
Testing Classes7m
Conclusion: Test Cases2m
Exception Handling Flow-of-control6m
When to use Try/Except3m
Handling Different Exception Types6m
Introduction to Django17m
How Django Uses Classes and Inheritance14m
Introduction - Final Course Project4m
9 Lektüren
The test.testEqual Function10m
Writing Test Cases for Functions10m
Program Development10m
Testing Classes10m
What is an Exception?10m
Exception Handling Flow-of-control10m
Raising and Catching Errors10m
When to use Try/Except10m
Standard Exceptions10m
Top-Bewertungen
It was a great learning experience. A Heartfelt thankyou to the entire team for creating this great course as well as the wonderful Python 3 specialisation. thankyou !
One of the best courses I have taken so far. all the materials are very concise and helpful in understanding some daunting concepts
Dozenten
Steve Oney
Assistant ProfessorSchool of Information
Paul Resnick
Michael D. Cohen Collegiate ProfessorSchool of Information
Über University of Michigan
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.
Über die Spezialisierung Python 3 Programming
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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Sobald Sie sich für ein Zertifikat angemeldet haben, haben Sie Zugriff auf alle Videos, Quizspiele und Programmieraufgaben (falls zutreffend). Aufgaben, die von anderen Kursteilnehmern bewertet werden, können erst dann eingereicht und überprüft werden, wenn Ihr Unterricht begonnen hat. Wenn Sie sich den Kurs anschauen möchten, ohne ihn zu kaufen, können Sie womöglich auf bestimmte Aufgaben nicht zugreifen.
Was bekomme ich, wenn ich diese Spezialisierung abonniere?
Wenn Sie sich für den Kurs anmelden, erhalten Sie Zugriff auf alle Kurse der Spezialisierung und Sie erhalten nach Abschluss aller Arbeiten ein Zertifikat. Ihr elektronisches Zertifikat wird zu Ihrer Seite „Errungenschaften“ hinzugefügt – von dort können Sie Ihr Zertifikat ausdrucken oder es zu Ihrem LinkedIn Profil hinzufügen. Wenn Sie nur lesen und den Inhalt des Kurses anzeigen möchten, können Sie kostenlos als Gast an dem Kurs teilnehmen.
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