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.
Este curso forma parte de Programa Especializado - Python 3 Programming
Python Classes and Inheritance
ofrecido por
Programa - Qué aprenderás en este curso
Semana
16 horas para completar
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 (Total 79 minutos), 13 readings, 3 quizzes
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 lecturas
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 ejercicios de práctica
Optional - What Did You Use to Practice This Week?10m
Semana
24 horas para completar
Inheritance
3 videos (Total 28 minutos), 5 readings, 3 quizzes
5 lecturas
Introduction: Class Inheritance10m
Inheriting Variables and Methods10m
Overriding Methods10m
Invoking the Parent Class's Method10m
Tamagotchi Revisited10m
1 ejercicios de práctica
Optional - What Did You Use to Practice This Week?30m
Semana
37 horas para completar
Unit Testing and Exceptions
13 videos (Total 94 minutos), 9 readings, 4 quizzes
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 lecturas
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
4.5
7 revisionesPrincipales revisiones
por LG•Feb 17th 2019
Amazing course, excellent material and instructions. I would only improve response rate at the Forums.
por MT•Feb 10th 2019
Most amazing course on object oriented programming in python 3.
Instructores
Steve Oney
Assistant ProfessorSchool of Information
Paul Resnick
Michael D. Cohen Collegiate ProfessorSchool of Information
Acerca de Universidad de Míchigan
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.
Acerca del programa especializado 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.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
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