CF

Design Patterns in Go

9h 47m 37s
English
Paid

This course provides an overview of all the Gang of Four (GoF) design patterns as outlined in their seminal book, together with modern-day variations, adjustments, discussions of intrinsic use of patterns in the language. Design Patterns are reusable solutions to common programming problems. They were popularized with the 1994 book Design Patterns: Elements of Reusable Object-Oriented Software by Erich Gamma, John Vlissides, Ralph Johnson and Richard Helm (who are commonly known as a Gang of Four, hence the GoF acronym).

The original book GoF book used C++ and Smalltalk for its examples, but, since then, design patterns have been adapted to every programming language imaginable: C#, Java, Swift, Python, JavaScript and now — Go!

The appeal of design patterns is immortal: we see them in libraries, some of them are intrinsic in programming languages, and you probably use them on a daily basis even if you don't realize they are there.

This course provides a comprehensive overview of Design Patterns in Go from a practical perspective. This course in particular covers patterns with the use of:

  • The latest versions of the Go programming language

  • Use of modern programming libraries and frameworks

  • Use of modern developer tools such as JetBrains GoLand

  • Discussions of pattern variations and alternative approaches

What Patterns Does This Course Cover?

This course covers all the GoF design patterns. In fact, here's the full list of what is covered:

  • SOLID Design Principles: Single Responsibility Principle, Open-Closed Principle, Liskov Substitution Principle, Interface Segregation Principle and Dependency Inversion Principle

  • Creational Design Patterns: Builder, Factories (Factory Method and Abstract Factory), Prototype and Singleton

  • Structrural Design Patterns: Adapter, Bridge, Composite, Decorator, Façade, Flyweight and Proxy

  • Behavioral Design Patterns: Chain of Responsibility, Command, Interpreter, Iterator, Mediator, Memento, Observer, State, Strategy, Template Method and Visitor

Who Is the Course For?

This course is for Go developers who want to see not just textbook examples of design patterns, but also the different variations and tricks that can be applied to implement design patterns in a modern way. For example, the use of the Composite pattern allows structures to be iterable and lets scalar objects masquerade as if they were collections.

Presentation Style

This course is presented as a (very large) series of live demonstrations being done in JetBrains GoLand and presented using the Kinetica rendering engine. Kinetica removes the visual clutter of the IDE, making you focus on code, which is rendered perfectly, whether you are watching the course on a big screen or a mobile phone. 

Most demos are single-file, so you can download the file attached to the lesson and run it in GoLand, or another IDE of your choice (or just run them from the command-line).

This course does not use UML class diagrams; all of demos are done via live coding.

Requirements:
  • Good understanding of Go
  • Familiarity with latest Go language features
  • Good understanding of software design principles
  • A computer with latest Go compiler and (hopefully) an IDE
Who this course is for:
  • Software engineers
  • Web developers
  • Designers
  • Architects

What you'll learn:

  • Recognize and apply design patterns
  • Refactor existing designs to use design patterns
  • Reason about applicability and usability of design patterns

About the Author: Udemy

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Udemy is the largest open marketplace for online courses on the internet. Founded in 2010 by Eren Bali, Oktay Caglar, and Gagan Biyani and headquartered in San Francisco, the company went public on the Nasdaq in 2021 under the ticker UDMY. The platform hosts well over two hundred thousand courses across software development, IT and cloud, data science, design, business, marketing, and creative skills, taught by tens of thousands of independent instructors. Roughly seventy million learners use it worldwide, and the corporate arm — Udemy Business — supplies a curated subset of that catalog to enterprise customers.

Because Udemy is a marketplace rather than a single editorial publisher, the catalog is uneven by design. The strongest material lives in the long-form, project-based courses authored by working engineers — full-stack JavaScript, React, Node.js, Python data science, AWS, Docker and Kubernetes, mobile development with Flutter and React Native, and cloud certification preparation. The CourseFlix listing under this source is the slice of that catalog that has been mirrored here for offline-friendly viewing, organized by topic and updated as new releases land. Pricing on Udemy itself swings dramatically with the site's near-permanent sales, which is why the platform is best treated as a deep reference catalog: pick instructors with strong reviews and a track record of updating their material rather than buying on the headline price alone.

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#1: Introduction
All Course Lessons (110)
#Lesson TitleDurationAccess
1
Introduction Demo
04:03
2
Overview
01:17
3
Single Responsibility Principle
12:18
4
Open-Closed Principle
19:07
5
Liskov Substitution Principle
10:11
6
Interface Segregation Principle
08:30
7
Dependency Inversion Principle
15:01
8
Summary
02:37
9
Overview
01:43
10
Builder
12:53
11
Builder Facets
10:14
12
Builder Parameter
06:55
13
Functional Builder
05:11
14
Summary
01:14
15
Overview
02:50
16
Factory Function
03:28
17
Interface Factory
04:55
18
Factory Generator
09:38
19
Prototype Factory
03:54
20
Summary
00:57
21
Overview
01:52
22
Deep Copying
05:37
23
Copy Method
05:31
24
Copy Through Serialization
05:39
25
Prototype Factory
07:05
26
Summary
00:32
27
Overview
02:56
28
Singleton
05:57
29
Problems with Singleton
04:22
30
Singleton and Dependency Inversion
05:31
31
Summary
01:32
32
Overview
01:58
33
Adapter
13:31
34
Adapter Caching
07:03
35
Summary
00:48
36
Overview
02:22
37
Bridge
08:06
38
Summary
00:50
39
Overview
01:26
40
Geometric Shapes
06:52
41
Neural Networks
08:07
42
Summary
00:46
43
Overview
01:51
44
Multiple Aggregation
09:10
45
Decorator
10:31
46
Summary
00:59
47
Overview
01:54
48
Façade
08:04
49
Summary
01:13
50
Overview
02:03
51
Text Formatting
14:43
52
User Names
12:18
53
Summary
00:51
54
Overview
02:05
55
Protection Proxy
04:10
56
Virtual Proxy
06:32
57
Proxy vs Decorator
01:24
58
Summary
00:55
59
Overview
03:00
60
Method Chain
13:50
61
Command Query Separation
01:26
62
Broker Chain
16:35
63
Summary
00:58
64
Overview
02:23
65
Command
06:20
66
Undo Operations
04:14
67
Composite Command
12:25
68
Functional Command
03:04
69
Summary
00:50
70
Overview
02:47
71
Lexing
07:25
72
Parsing
11:18
73
Summary
01:03
74
Overview
01:07
75
Iteration
08:21
76
Tree Traversal
12:20
77
Summary
00:45
78
Overview
01:27
79
Chat Room
12:49
80
Summary
00:57
81
Overview
01:30
82
Memento
05:06
83
Undo and Redo
10:18
84
Memento vs Flyweight
00:49
85
Summary
01:46
86
Overview
01:30
87
Observer and Observable
09:42
88
Property Observers
09:44
89
Property Dependencies
06:37
90
Summary
01:06
91
Overview
01:55
92
Classic Implementation
11:08
93
Handmade State Machine
10:19
94
Switch-Based State Machine
05:42
95
Summary
01:15
96
Overview
01:38
97
Strategy
10:21
98
Summary
00:36
99
Overview
01:52
100
Template Method
07:01
101
Functional Template Method
03:57
102
Summary
00:58
103
Overview
02:22
104
Intrusive Visitor
08:52
105
Reflective Visitor
06:26
106
Dispatch
01:21
107
Classic Visitor
14:26
108
Summary
00:59
109
Course Summary
07:45
110
End of Course
01:10
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Frequently asked questions

What are the prerequisites for enrolling in this course?
Before enrolling, students should have a basic understanding of the Go programming language and familiarity with object-oriented programming concepts. The course builds on these fundamentals to explore design patterns, so a solid grasp of programming principles is essential to fully benefit from the material covered.
What will students build or learn through this course?
Students will explore a variety of design patterns from the Gang of Four book, such as the Builder, Factory, Singleton, Adapter, and Proxy patterns. They will learn to apply these patterns to solve common programming problems in Go, understand their intrinsic use in the language, and discuss modern-day variations and adjustments.
Who is the target audience for this course?
This course is designed for software developers and engineers who are interested in enhancing their design skills in Go. It is particularly suitable for those looking to understand and apply design patterns to create reusable, efficient code solutions in their projects.
How does this course compare in depth and scope to other design pattern courses?
The course offers an overview of all the Gang of Four design patterns, providing insights into both classic and modern adaptations of these patterns in Go. With 110 lessons, it covers principles like the Single Responsibility and Dependency Inversion Principles, making it comprehensive compared to courses that might only focus on select patterns or theoretical knowledge without language-specific applications.
Which specific tools or platforms are covered in this course?
The course does not focus on external tools or platforms but rather on applying design patterns directly within the Go programming language. It emphasizes understanding and leveraging Go's features to implement patterns effectively.
What topics are not covered in this course?
The course strictly focuses on design patterns and their application in Go. It does not cover general Go language syntax, advanced Go concurrency models, or non-pattern-related software architecture practices. Students seeking a broad overview of Go programming may need supplementary resources.
How might the knowledge from this course be applicable to other courses or careers?
Understanding design patterns can significantly enhance a developer's ability to write maintainable and scalable code. The concepts taught in this course can be applied to other object-oriented programming languages, making it valuable for software development careers and further studies in software architecture and engineering disciplines.