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.
This course 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
1Classes
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.
12 readings, 2 quizzes
12 lecturas
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 ejercicio de práctica
Optional - What Did You Use to Practice This Week?10m
Semana
2Inheritance
In this module you will be learning more advanced forms of accumulation. By the end of the week, you will have learned how to use the map and filter functions in combination with functions to transform or filter out data and store the resulting data in a new object. You will have also learned how to accumulate data using a list comprehension. And you will have learned how to use the zip function
5 readings, 1 quiz
5 lecturas
Introduction: Class Inheritance10m
Inheriting Variables and Methods10m
Overriding Methods10m
Invoking the Parent Class's Method10m
Tamagotchi Revisited10m
1 ejercicio de práctica
Optional - What Did You Use to Practice This Week?30m
Semana
3Class Design
In this module, you will learn how to request data from the internet using Application Programming Interfaces (APIs). By the end of the week, you will have learned how to access data from a few APIs, cache data that you have requested, and also learned how to read and work with other APIs that were not touched on in the module.
1 quiz
Semana
4Unit Testing and Exceptions
6 readings, 1 quiz
6 lecturas
Introduction: Test Cases10m
Writing Test Cases for Functions10m
Program Development10m
What is an exception?10m
When to use Try/Except10m
Standard Exceptions10m
Instructores
Steve Oney
Assistant ProfessorSchool of Information
Paul Resnick
Michael D. Cohen Collegiate ProfessorSchool of Information
Acerca de 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.
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
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?
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