Design Patterns in Python_1

Design Patterns in Python, available at $79.99, has an average rating of 4.44, with 107 lectures, 22 quizzes, based on 3754 reviews, and has 26512 subscribers.

You will learn about Recognize and apply design patterns Refactor existing designs to use design patterns Reason about applicability and usability of design patterns This course is ideal for individuals who are Software engineers or Designers or Architects It is particularly useful for Software engineers or Designers or Architects.

Enroll now: Design Patterns in Python

Summary

Title: Design Patterns in Python

Price: $79.99

Average Rating: 4.44

Number of Lectures: 107

Number of Quizzes: 22

Number of Published Lectures: 107

Number of Published Quizzes: 22

Number of Curriculum Items: 129

Number of Published Curriculum Objects: 129

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Recognize and apply design patterns

Refactor existing designs to use design patterns

Reason about applicability and usability of design patterns

Who Should Attend

Software engineers

Designers

Architects

Target Audiences

Software engineers

Designers

Architects

Course Overview

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

The latest versions of the Python programming language

Use of modern programming approaches:?dependency injection, reactive programming and more

Use of modern developer tools such as JetBrains?PyCharm

Discussions of pattern variations and alternative approaches

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.

What are Design Patterns?

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 was written using C++?and Smalltalk as examples, but since then, design patterns have been adapted to every programming language imaginable:?C#, Java, Python and even programming languages that aren’t strictly object-oriented, such as JavaScript.

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.

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, Fa?ade,?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 Python 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 decorators and metaclasses allows us to prepackage certain patterns for easy re-use.

Presentation Style

This course is presented as a (very large)?series of live demonstrations being done in JetBrains?PyCharm 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 PyCharm, IDLE or another?IDE?of your choice.

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

Course Curriculum

Lecture 1: Introduction

Chapter 1: The SOLID Design Principles

Lecture 1: Overview

Lecture 2: Single Responsibility Principle

Lecture 3: Open-Closed Principle

Lecture 4: Liskov Substitution Principle

Lecture 5: Interface Segregation Principle

Lecture 6: Dependency Inversion Principle

Lecture 7: Summary

Chapter 2: Builder

Lecture 1: Gamma Categorization

Lecture 2: Overview

Lecture 3: Builder

Lecture 4: Builder Facets

Lecture 5: Builder Inheritance

Lecture 6: Summary

Chapter 3: Factories

Lecture 1: Overview

Lecture 2: Factory Method

Lecture 3: Factory

Lecture 4: Abstract Factory

Lecture 5: Summary

Chapter 4: Prototype

Lecture 1: Overview

Lecture 2: Prototype

Lecture 3: Prototype Factory

Lecture 4: Summary

Chapter 5: Singleton

Lecture 1: Overview

Lecture 2: Singleton Allocator

Lecture 3: Singleton Decorator

Lecture 4: Singleton Metaclass

Lecture 5: Monostate

Lecture 6: Singleton Testability

Lecture 7: Summary

Chapter 6: Adapter

Lecture 1: Overview

Lecture 2: Adapter (no caching)

Lecture 3: Adapter (with caching)

Lecture 4: Summary

Chapter 7: Bridge

Lecture 1: Overview

Lecture 2: Bridge

Lecture 3: Summary

Chapter 8: Composite

Lecture 1: Overview

Lecture 2: Geometric Shapes

Lecture 3: Neural Networks

Lecture 4: Summary

Chapter 9: Decorator

Lecture 1: Overview

Lecture 2: Python Functional Decorators

Lecture 3: Classic Decorator

Lecture 4: Dynamic Decorator

Lecture 5: Summary

Chapter 10: Fa?ade

Lecture 1: Overview

Lecture 2: Fa?ade

Lecture 3: Summary

Chapter 11: Flyweight

Lecture 1: Overview

Lecture 2: User Names

Lecture 3: Text Formatting

Lecture 4: Summary

Chapter 12: Proxy

Lecture 1: Overview

Lecture 2: Protection Proxy

Lecture 3: Virtual Proxy

Lecture 4: Proxy vs Decorator

Lecture 5: Summary

Chapter 13: Chain of Responsibility

Lecture 1: Overview

Lecture 2: Method Chain

Lecture 3: Command Query Separation

Lecture 4: Broker Chain

Lecture 5: Summary

Chapter 14: Command

Lecture 1: Overview

Lecture 2: Command

Lecture 3: Composite Command

Lecture 4: Summary

Chapter 15: Interpreter

Lecture 1: Overview

Lecture 2: Lexing

Lecture 3: Parsing

Lecture 4: Summary

Instructors

Dmitri Nesteruk
Software/Hardware Engineering ? Quant Finance ? Algotrading

Rating Distribution

1 stars: 45 votes

2 stars: 68 votes

3 stars: 311 votes

4 stars: 1262 votes

5 stars: 2068 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!