Python Beyond the Basics Object-Oriented Programming

Python Beyond the Basics – Object-Oriented Programming, available at $94.99, has an average rating of 4.45, with 55 lectures, based on 3067 reviews, and has 10877 subscribers.

You will learn about Design Reusable Object-Oriented Python Classes Apply OOP Concepts to handle complexity How to handle Errors This course is ideal for individuals who are Anyone wanting to learn Object-Oriented programming with Python It is particularly useful for Anyone wanting to learn Object-Oriented programming with Python.

Enroll now: Python Beyond the Basics – Object-Oriented Programming

Summary

Title: Python Beyond the Basics – Object-Oriented Programming

Price: $94.99

Average Rating: 4.45

Number of Lectures: 55

Number of Published Lectures: 55

Number of Curriculum Items: 55

Number of Published Curriculum Objects: 55

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

Design Reusable Object-Oriented Python Classes

Apply OOP Concepts to handle complexity

How to handle Errors

Who Should Attend

Anyone wanting to learn Object-Oriented programming with Python

Target Audiences

Anyone wanting to learn Object-Oriented programming with Python

In this Python Beyond the Basics – Object-Oriented Programming training course, expert author David Blaikie will teach you how to design Python classes, and how to implement object-oriented programming concepts in Python. This course is designed for users that already have a basic working knowledge of Python.

You will start by learning about classes, including defining a class, class attributes, and working with class and instance data. From there, David will teach you about inheritance and polymorphism. This video tutorial also covers advanced features, such as implementing core syntax, subclassing built-ins, and new style classes. You will also learn about exceptions and object serialization. Finally, David will teach you about efficiency and testing, including debugging, logging, and benchmarking.

Once you have completed this computer based training course, you will be fully capable of designing your own Python classes, as well as implementing object-oriented programming concepts in Python.

Course Curriculum

Chapter 1: Introduction To Object Oriented Python

Lecture 1: Important – Download These First – Working Files

Lecture 2: What Is Object Oriented Programming And Why?

Lecture 3: Object-Oriented Python

Lecture 4: Modules Versus Classes

Chapter 2: Getting Started

Lecture 1: Prerequisites And Toolkit

Lecture 2: Choosing An IDE Or Text Editor And Workflow

Chapter 3: Classes

Lecture 1: Classes, Instances, Attributes And Methods

Lecture 2: Defining A Class

Lecture 3: Instance Methods

Lecture 4: Instance Attributes

Lecture 5: Encapsulation

Lecture 6: Init Constructor

Lecture 7: Class Attributes

Lecture 8: Working With Class And Instance Data

Lecture 9: Assignment 1

Lecture 10: Assignment 1 – Solution

Chapter 4: Inheritance And Polymorphism

Lecture 1: Inheriting Attributes

Lecture 2: Inheritance Examples

Lecture 3: Polymorphism

Lecture 4: Inheriting The Constructor

Lecture 5: Multiple Inheritance And The Lookup Tree

Lecture 6: Decorators, Static And Class Methods

Lecture 7: Abstract Classes

Lecture 8: Method Overloading – Extending And Providing

Lecture 9: Composition Versus Inheritance

Lecture 10: Assignment 2

Lecture 11: Assignment 2 – Solution

Lecture 12: Assignment 2 For Extra Credit – Solution

Chapter 5: Advanced Features

Lecture 1: Implementing Core Syntax

Lecture 2: Subclassing Built-Ins

Lecture 3: Attribute Encapsulation

Lecture 4: Private Variable Names

Lecture 5: With Context

Lecture 6: New Style Classes

Lecture 7: Assignment 3

Lecture 8: Assignment 3 – Supplementary Hints

Lecture 9: Assignment 3 – Solution

Chapter 6: Exceptions

Lecture 1: Trapping And Raising Exceptions

Lecture 2: Custom Exceptions

Lecture 3: Assignment 4

Lecture 4: Assignment 4 – Solution

Chapter 7: Object Serialization

Lecture 1: Pickle

Lecture 2: JSON

Lecture 3: YAML

Lecture 4: Assignment 5

Lecture 5: Assignment 5 – Solution

Chapter 8: Efficiency And Testing

Lecture 1: Debugging – PDB

Lecture 2: Logging

Lecture 3: Benchmarking – The Timeit Module

Lecture 4: The Pytest Module – Part 1

Lecture 5: he Pytest Module – Part 2

Lecture 6: Assignment 6

Lecture 7: Assignment 6 – Solution

Chapter 9: Conclusion

Lecture 1: What We Have Learned

Lecture 2: Where To Go From Here

Instructors

Infinite Skills
High Quality Training

Rating Distribution

1 stars: 34 votes

2 stars: 72 votes

3 stars: 313 votes

4 stars: 1134 votes

5 stars: 1514 votes

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