Object-Oriented Python Programming


Course Number: PYTH-270
Duration: 3 days (19.5 hours)
Format: Live, hands-on

OO Python Training Overview

This Python Programming training course teaches attendees with Python experience how to leverage object-oriented programming (OOP) using the Python language. The class starts with a quick review of Python classes and then dives into the core principles and practices of OOP, including design patterns.

Location and Pricing

Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.

In addition, some courses are available as live, instructor-led training from one of our partners.

Objectives

  • Understand the fundamental concepts of Object-Oriented Programming (OOP)
  • Review Python basics on class definitions
  • Implement OOP principles and practices in Python
  • Explore the principles of SOLID and explore how they impact Python program design
  • Apply numerous object-oriented design patterns

Prerequisites

All students must be able to comfortably write Python scripts using basic data types, program structures, and the standard Python library.

Outline

Expand All | Collapse All

Introduction
Development Environment (Very Quick Overview)
  • Configure VS Code for Python development
  • Code Reformatting with Black
  • Debugging Python Scripts with VS Code
 
Getter/Setter Properties
Quick Class Review
  • Defining a Class
  • Instance and Class Members
  • Inheritance
  • Multiple Inheritance
Principles and Practical Object-Oriented Programming
  • Encapsulation
  • Polymorphism
  • Inheritance
  • Composition
  • Shared Variable Context for Functions
SOLID Programming
  • Single Responsibility Principle
  • Open-Closed Principle
  • Liskov Substitution Principle
  • Interface Segregation Principle
  • Dependency Inversion Principle
Component Design
  • Component Cohesion
  • Component Coupling
Overview of Creational Design Patterns
  • Abstract Factory
  • Factory
  • Builder
  • Prototype
  • Singleton
Overview of Behavioral Design Patterns
  • Chain of Responsibility
  • Command
  • Interpreter
  • Iterator
  • Mediator
  • Observer
  • Strategy
  • Memento
  • State
  • Template Method
  • Visitor
Overview of Structural Design Patterns
  • Adapter
  • Bridge
  • Composite
  • Decorator
  • Façade
  • Flyweight
  • Proxy
Conclusion

Training Materials

All Python training students receive comprehensive courseware.

Software Requirements

  • Any Windows, Linux, or Mac OS X operating system
  • Standard Python 3.x or Anaconda Python 3.x
  • Visual Studio Code (other editors may be used)


Learn faster

Our live, instructor-led lectures are far more effective than pre-recorded classes

Satisfaction guarantee

If your team is not 100% satisfied with your training, we do what's necessary to make it right

Learn online from anywhere

Whether you are at home or in the office, we make learning interactive and engaging

Multiple Payment Options

We accept check, ACH/EFT, major credit cards, and most purchase orders



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