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Pluralsight – Python: Design Patterns 2025-7

Updated August 10, 2026 382 MB
Pluralsight – Python: Design Patterns 2025-7

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Description

Python: Design Patterns Course. This course teaches you how to use object-oriented design patterns to improve code quality, reduce development time, and increase maintainability. This course teaches you how to dramatically improve the consistency, testability, and stability of your code by applying these patterns. Using these patterns wisely helps you create and maintain powerful and portable code. During this course, you will first learn about the origins of design patterns and their application in programming projects of any scale. Then, you will explore many of the design patterns introduced in the famous book “Gang of Four.” Finally, you will learn how to apply these patterns to solve real-world problems in businesses and organizations. By the end of this course, you will have the object-oriented programming skills and knowledge necessary to build stable, maintainable, and scalable applications.

What you will learn

  • Creational Design Patterns: Learn the Factory, Abstract Factory, Builder, Prototype, and Singleton patterns.
  • Structural Design Patterns: Learn the Adapter, Bridge, Composite, Decorator, Façade, Flyweight, and Proxy patterns.
  • Behavioral Design Patterns: Learn the Strategy, Command, State, Observer, Visitor, Chain of Responsibility, Mediator, Memento, Null, Template, Iterator, and Interpreter patterns.
  • Increase code quality: Use design patterns to improve code stability, testability, and maintainability.
  • Reduce development time: Use proven patterns to reduce the time required for software development.
  • Solving Real Problems: Practical application of patterns to solve common problems in the programming world.

This course is suitable for people who:

  • Python developers: People looking to improve the quality, maintainability, and scalability of their code.
  • Software engineers: Those who want to use design patterns to build more robust and stable systems.
  • Computer science students: Those seeking a deeper understanding of object-oriented programming concepts.
  • Experienced programmers: Those who want to take their code to a more professional level by using design patterns.

Python: Design Patterns Course Details

Course headings

Python: Design Patterns

Course images

Python: Design Patterns

Sample course video

Installation Guide

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Subtitles: English

Quality: 720p

Download link

Download file – 382 MB

File(s) password: www.downloadly.ir

File size

382 MB