What you'll learn
Design Patterns in Python
Learn All 23 GoF Design Patterns
Creational Patterns : Factory, Abstract Factory, Builder, Prototype, Singleton
Structural Patterns : Decorator, Adapter, Facade, Bridge, Composite, Flyweight, Proxy
Behavioral Patterns : Command, Chain of Responsibility, Observer, Interpreter, Iterator, Mediator, Memento, State, Strategy, Template, Visitor
Learn Many Python Concepts : ABCMeta, Exception Handling, Lists, Dictionaries, Tuples, Sets, id(), Dunder Attributes and Methods, Time, Decimal, *Args and many more Pythion concepts.
Learn Quality Software Design Standards using Pep8, Pylint and MyPy
UML Diagramming : Inherits, Implements, Composition, Aggregates, Association
Learn Each Pattern from Conceptual and Use Case Points of View
Develop Your Software Engineering Vocabulary

Requirements
An OS such as Windows 10, Mac OSX or Linux
An IDE such as VSCode, PyCharm Community, Vim, Notepad or Just the command line.
A Desire to Understand the 23 Gof Design Patterns
Description
Learn All of the 23 GoF (Gang of Four) Design Patterns and Implemented them in Python.

Design Patterns are descriptions or templates that can be repeatedly applied to commonly recurring problems during in software design.

A familiarity of Design Patterns is very useful when planning, discussing, managing and documenting your applications from now and into the future.

Also, throughout the course, as each design pattern is discussed and demonstrated using example code, I introduce new Python coding concepts along with each new design pattern. So that as you progress through the course and try out the examples, you will also get experience and familiarity with some of the finer details of the Python programming language.

In this course, you will learn about these 23 Design Patterns,

Creational

Factory

Abstract Factory

Builder

Prototype

Singleton

Structural

Decorator

Adapter

Facade

Bridge

Composite

Flyweight

Proxy

Behavioral

Command

Chain of Responsibility

Observer Pattern

Interpreter

Iterator

Mediator

Memento

State

Strategy

Template

Visitor

In the list of patterns above, there are Creational, Structural and Behavioral patterns.

Creational : Abstracts the instantiation process so that there is a logical separation between how objects are composed and finally represented.

Structural : Focuses more on how classes and objects are composed using the different structural techniques, and to form structures with more or altered flexibility.

Behavioral : Are concerned with the inner algorithms, process flow, the assignment of responsibilities and the intercommunication between objects.

Design patterns will give you a useful and common vocabulary for when designing, documenting, analyzing, restructuring new and existing software development projects from now and into the future.

I look forward to having you take part in my course.

Sean Bradley

Who this course is for:
Python Developers
Software Architects
Software Engineers

Screenshots

Citación :

https://rapidgator.net/file/e6c55ad8299b073834fdab8af7dd2c5d/dabli.Design.Patterns.in.Python.2nd.Edition.part1.rar.html
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