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
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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)
