Udemy - Design Patterns in Python [Course Drive]

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Design Patterns in Python Design Patterns in Python 14 Command
  • 066 Composite Command.mp4 (160.3 MB)
  • 064 Overview.en.srt (4.5 KB)
  • 064 Overview.mp4 (13.8 MB)
  • 065 Command.en.srt (19.1 KB)
  • 065 Command.mp4 (109.7 MB)
  • 065 command.py (2.1 KB)
  • 066 Composite Command.en.srt (24.0 KB)
  • 066 composite-command.py (4.2 KB)
  • 067 exercise.py (1.2 KB)
  • 067 Summary.en.srt (0.9 KB)
  • 067 Summary.mp4 (2.9 MB)
  • ReadMe.txt (0.2 KB)
  • Visit Coursedrive.org.url (0.1 KB)
    • 01 The SOLID Design Principles
    • 002 Overview.en.srt (1.0 KB)
    • 002 Overview.mp4 (7.4 MB)
    • 003 Single Responsibility Principle.en.srt (10.7 KB)
    • 003 Single Responsibility Principle.mp4 (47.5 MB)
    • 003 srp.py (1.0 KB)
    • 004 ocp.py (3.0 KB)
    • 004 Open-Closed Principle.en.srt (28.8 KB)
    • 004 Open-Closed Principle.mp4 (144.3 MB)
    • 005 Liskov Substitution Principle.en.srt (10.3 KB)
    • 005 Liskov Substitution Principle.mp4 (51.7 MB)
    • 005 lsp.py (1.1 KB)
    • 006 Interface Segregation Principle.en.srt (12.8 KB)
    • 006 Interface Segregation Principle.mp4 (59.9 MB)
    • 006 isp.py (1.8 KB)
    • 007 Dependency Inversion Principle.en.srt (16.0 KB)
    • 007 Dependency Inversion Principle.mp4 (88.1 MB)
    • 007 dip.py (1.6 KB)
    • 008 Summary.en.srt (3.3 KB)
    • 008 Summary.mp4 (12.1 MB)
    • external-assets-links.txt (0.1 KB)
    02 Builder
    • 009 Gamma Categorization.en.srt (5.7 KB)
    • 009 Gamma Categorization.mp4 (19.9 MB)
    • 010 Overview.en.srt (1.9 KB)
    • 010 Overview.mp4 (6.4 MB)
    • 011 Builder.en.srt (16.2 KB)
    • 011 Builder.mp4 (68.5 MB)
    • 011 builder.py (2.1 KB)
    • 012 Builder Facets.en.srt (12.1 KB)
    • 012 Builder Facets.mp4 (58.4 MB)
    • 012 builder-facets.py (2.1 KB)
    • 013 Builder Inheritance.en.srt (7.1 KB)
    • 013 Builder Inheritance.mp4 (33.7 MB)
    • 013 builder-inheritance.py (1.1 KB)
    • 014 exercise.py (1.5 KB)
    • 014 Summary.en.srt (1.4 KB)
    • 014 Summary.mp4 (4.5 MB)
    03 Factories
    • 015 Overview.en.srt (3.9 KB)
    • 015 Overview.mp4 (13.7 MB)
    • 016 Factory Method.en.srt (11.1 KB)
    • 016 Factory Method.mp4 (62.3 MB)
    • 016 factory.py (1.6 KB)
    • 017 Factory.en.srt (8.5 KB)
    • 017 Factory.mp4 (59.8 MB)
    • 017 factory.py (1.6 KB)
    • 018 Abstract Factory.en.srt (19.1 KB)
    • 018 Abstract Factory.mp4 (123.1 MB)
    • 018 abstract-factory.py (2.0 KB)
    • 019 exercise.py (0.6 KB)
    • 019 Summary.en.srt (1.3 KB)
    • 019 Summary.mp4 (4.5 MB)
    04 Prototype
    • 020 Overview.en.srt (2.6 KB)
    • 020 Overview.mp4 (8.8 MB)
    • 021 Prototype.en.srt (11.1 KB)
    • 021 Prototype.mp4 (75.5 MB)
    • 021 prototype.py (0.7 KB)
    • 022 Prototype Factory.en.srt (9.5 KB)
    • 022 Prototype Factory.mp4 (62.8 MB)
    • 022 prototype-factory.py (1.6 KB)
    • 023 exercise.py (0.8 KB)
    • 023 Summary.en.srt (0.9 KB)
    • 023 Summary.mp4 (2.9 MB)
    05 Singleton
    • 024 Overview.en.srt (4.5 KB)
    • 024 Overview.mp4 (13.5 MB)
    • 025 Singleton Allocator.en.srt (4.9 KB)
    • 025 Singleton Allocator.mp4 (27.1 MB)
    • 025 singleton-allocator.py (0.6 KB)
    • 026 Singleton Decorator.en.srt (3.6 KB)
    • 026 Singleton Decorator.mp4 (14.8 MB)
    • 026 singleton-decorator.py (0.4 KB)
    • 027 Singleton Metaclass.en.srt (3.0 KB)
    • 027 Singleton Metaclass.mp4 (14.9 MB)
    • 027 singleton-metaclass.py (0.5 KB)
    • 028 Monostate.en.srt (7.8 KB)
    • 028 Monostate.mp4 (41.6 MB)
    • 028 monostate.py (1.1 KB)
    • 029 Singleton Testability.en.srt (13.2 KB)
    • 029 Singleton Testability.mp4 (93.4 MB)
    • 029 singleton-testing.py (1.9 KB)
    • 030 exercise.py (0.3 KB)
    • 030 Summary.en.srt (1.9 KB)
    • 030 Summary.mp4 (5.6 MB)
    06 Adapter
    • 031 Overview.en.srt (1.7 KB)
    • 031 Overview.mp4 (6.2 MB)
    • 032 Adapter (no caching).en.srt (11.1 KB)
    • 032 Adapter (no caching).mp4 (57.9 MB)
    • 032 no-caching.py (1.8 KB)
    • 033 Adapter (with caching).en.srt (5.6 KB)
    • 033 Adapter (with caching).mp4 (37.1 MB)
    • 033 with-caching.py (2.1 KB)
    • 034 exercise.py (0.7 KB)
    • 034 Summary.en.srt (1.2 KB)
    • 034 Summary.mp4 (4.2 MB)
    07 Bridge
    • 035 Overview.en.srt (2.4 KB)
    • 035 Overview.mp4 (8.1 MB)
    • 036 Bridge.en.srt (12.6 KB)
    • 036 Bridge.mp4 (49.7 MB)
    • 036 bridge.py (1.0 KB)
    • 037 exercise.py (1.7 KB)
    • 037 Summary.en.srt (0.4 KB)
    • 037 Summary.mp4 (1.5 MB)
    08 Composite
    • 038 Overview.en.srt (2.0 KB)
    • 038 Overview.mp4 (7.5 MB)
    • 039 Geometric Shapes.en.srt (8.7 KB)
    • 039 Geometric Shapes.mp4 (36.2 MB)
    • 039 geometric-shapes.py (1.1 KB)
    • 040 Neural Networks.en.srt (14.3 KB)
    • 040 Neural Networks.mp4 (75.2 MB)
    • 040 neural-networks.py (1.6 KB)
    • 041 exercise.py (0.9 KB)
    • 041 Summary.en.srt (2.3 KB)

Description

⚡️⚡️For More Udemy Courses Visit ?? Course Drive



Design Patterns in Python

Discover the modern implementation of design patterns in Python






What you'll learn

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

Requirements

• Good understanding of Python
• Familiarity with latest Python language features
• Good understanding of object-oriented design principles
• A computer with the latest Python release and (hopefully) an IDE

Description

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, 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 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.

Who this course is for:

• Software engineers
• Designers
• Architects



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Udemy - Design Patterns in Python [Course Drive]

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Download torrent
3.5 GB
seeders:20
leechers:13
Udemy - Design Patterns in Python [Course Drive]

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