Course: Python Design Patterns

$179.00
$216.59 incl. vat

duration: 10 hours |

Language: English (US) |

access duration: 90 days |

Details

This course will teach you the functions and benefits of several Python design patterns. You start by exploring the five SOLID principles—Single Responsibility, Open/Closed, Liskov's Substitution, Interface Segregation, and Dependency Inversion. Move on to the details and implementation of five commonly used creational design patterns: Singleton, Factory, Abstract Factory, Builder, and Object Pool. Next, you’ll learn the design and implementation of five commonly used structural Python design patterns: Adapter, Decorator, Facade, Proxy, and Flyweight. Finally, you’ll discover behavioral design patterns: Strategy, Chain of Responsibility, Observer, Command, and Iterator.

Result

After completing this course, you are familiar with the details and implementation of commonly used Python design patterns.

Prerequisites

Familiarity with Python is advised.

Target audience

Software Developer, Web Developer

Content

Python Design Patterns

10 hours

Python Design Patterns: Principles of Good Design

  • Explore how the SOLID principles can help to make software

  • designs easier to understand and maintain. Examine the five SOLID
  • principles - Single Responsibility, Open/Closed, Liskov's
  • Substitution, Interface Segregation, and Dependency Inversion - as
  • well as the creational, structural, and behavioral design
  • patterns.

Python Design Patterns: Working with Creational Design Patterns

Explore the details and implementation of five commonly used creational design patterns - Singleton, Factory, Abstract Factory, Builder, and Object Pool.

Python Design Patterns: Working with Structural Design Patterns

  • Explore the design and implementation of five commonly used

  • structural design patterns - Adapter, Decorator, Façade, Proxy, and
  • Flyweight. Examine how these patterns can be used for tasks like
  • working with legacy components, dynamically adding
  • responsibilities, offering a simple client interface, controlling
  • object access, and efficiently using lightweight resources.

Python Design Patterns: Working with Behavioral Design Patterns

  • Explore the design and implementation of five commonly used

  • behavioral design patterns - Strategy, Chain of Responsibility,
  • Observer, Command, and Iterator. Examine how these patterns can be
  • used in Python built-in functions, in simple and complex use cases,
  • for performing undo operations, and with Python special
  • methods.

Course options

We offer several optional training products to enhance your learning experience. If you are planning to use our training course in preperation for an official exam then whe highly recommend using these optional training products to ensure an optimal learning experience. Sometimes there is only a practice exam or/and practice lab available.

Optional practice exam (trial exam)

To supplement this training course you may add a special practice exam. This practice exam comprises a number of trial exams which are very similar to the real exam, both in terms of form and content. This is the ultimate way to test whether you are ready for the exam. 

Optional practice lab

To supplement this training course you may add a special practice lab. You perform the tasks on real hardware and/or software applicable to your Lab. The labs are fully hosted in our cloud. The only thing you need to use our practice labs is a web browser. In the LiveLab environment you will find exercises which you can start immediatelyThe lab enviromentconsist of complete networks containing for example, clients, servers,etc. This is the ultimate way to gain extensive hands-on experience. 

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What is included?

Certificate of participation Yes
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