Python: Design Patterns (2021)

2h 13mIntermediate2021-10-11

Authors

Jungwoo Ryoo

Teaches IT, cybersecurity, and risk analysis at Penn State

Course details

If you’re a programmer, you’re probably plenty busy, so why not save some time and avoid reinventing the wheel by reusing well-proven design solutions—software design patterns—to improve your code quality? Design patterns encourage programming efficiency and code reuse. In this course, Jungwoo Ryoo takes a look at traditional design patterns as applied to Python. Jungwoo Ryoo covers 15 essential creational, structural, and behavioral patterns to help you solve common coding challenges, while introducing best practices that can help keep your solutions consistent, complete, and correct.

Skills covered

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

Concepts

0. Introduction

01 - Explore design patterns
02 - What you should know

1. Understanding Design Patterns

03 - What is a design pattern
04 - Types of design patterns
05 - Understanding object-oriented programming
06 - Working with inheritance and polymorphism
07 - Understanding pattern context
08 - Working with pattern language

2. Creational Patterns

09 - Factory
10 - Factory example
11 - Abstract factory
12 - Abstract factory example
13 - Singleton
14 - Singleton example
15 - Builder
16 - Builder example
17 - Prototype
18 - Prototype example

3. Structural Patterns

19 - Decorator
20 - Decorator example
21 - Proxy
22 - Proxy example
23 - Adapter
24 - Adapter example
25 - Composite
26 - Composite example
27 - Bridge
28 - Bridge example

4. Behavioral Patterns

29 - Observer
30 - Observer example
31 - Visitor
32 - Visitor example
33 - Iterator
34 - Iterator example
35 - Strategy
36 - Strategy example
37 - Chain of responsibility
38 - Chain of responsibility example

5. Design Best Practices

39 - Consistency with design patterns
40 - Programmers' mindset

Conclusion

41 - Next steps with design patterns