Description
Python: Advanced Design Patterns. This course teaches you how to implement advanced design patterns using Python to create clean, efficient applications. Taught by Jungwoo Ryoo, professor of information science and technology, this course explores advanced design patterns in Python. You’ll learn why you should or shouldn’t use these patterns, and you’ll learn about design best practices, including qualitative features and domain-specific patterns. You’ll also learn about popular Gang of Four design patterns, such as Command, Interpreter, and Memento, with practical examples. The first part covers the basic concepts of design patterns, how they differ from architectural patterns, and how they relate to frameworks. The second part focuses on design best practices, including domain-specific and security patterns. The third and fourth parts explain Gang of Four patterns, such as Facade, Mediator, State, and Template Method, with practical examples. This course will help you gain a better understanding of how these patterns work at the code level by providing sample scripts.
What you will learn:
- C# language basics without prior programming experience
- Deep understanding of advanced design patterns
- Application of Facade, Command, Interpreter, Mediator, Memento, State and Template Method patterns
- How to use Version Control
- Best design practices for quality and security
- Analyze and solve problems using design patterns
- Improving coding and software architecture skills
This course is suitable for people who:
- Python developers looking to improve their software design skills.
- Programmers who want to write cleaner, more maintainable code.
- People interested in a deeper understanding of software architecture and design patterns.
- Programmers who want to prepare for professional teams.
Python: Advanced Design Patterns Course Details
- Publisher: Linkedin
- Instructor: Jungwoo Ryoo
- Training level: Advanced
- Training duration: 1 hour and 37 minutes
Course headings
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
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File size
148 GB
