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Python: Advanced Design Patterns (2018)

Python: Advanced Design Patterns (2018)

1h 25mAdvanced2018-02-21

Authors

Jungwoo Ryoo

Jungwoo Ryoo

Teaches IT, cybersecurity, and risk analysis at Penn State

Course details

Design patterns encourage clean programming. In this course, take a look at some advanced design patterns as applied to Python. Instructor Jungwoo Ryoo begins by looking at why-or why not-use design patterns in the first place. Jungwoo then steps through some design best practices, going over topics such as quality attributes and domain-specific patterns. He also introduces some practical design patterns described by the Gang of Four, including Command, Interpreter, and Memento. Plus, he helps you grasp how these patterns actually work at the code level by walking through sample scripts.

Learning objectives
Architectural vs. design patterns
Why use design patterns?
Design best practices
Domain-specific patterns and security patterns
Gang of Four design patterns
Command, Mediator, and State
Template method

Skills covered

Software Design PatternsPythonProgramming LanguagesOpen SourceSoftware DevelopmentDeep Dive (X:Y)

Concepts

Introduction

  • Welcome
  • What you should know before watching this course

Understanding Design Patterns - Review

  • What is a design pattern
  • Architectural vs. design patterns
  • Patterns and frameworks
  • Design pattern adoption
  • Python as an object-oriented programming (OOP) language
  • Why use design patterns, or why not

Design Best Practices

  • Quality attributes and design patterns
  • Domain-specific patterns
  • Security patterns
  • Case study - Intercepting validator
  • Intercepting validator example

Gang of Four (GoF) Patterns, Part 1

  • Facade
  • Facade example
  • Command
  • Command example
  • Interpreter
  • Interpreter example
  • Practitioner's perspective - Practice

Gang of Four (GoF) Patterns, Part 2

  • Mediator
  • Mediator example
  • Memento
  • Memento example
  • State
  • State example
  • Template method
  • Template method example
  • Practitioner's perspective - Development

Conclusion

  • Next steps

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