MP4 | Video: h264, 1280×720 | Audio: AAC, 44100 Hz
Language: English | Size: 2.75 GB | Duration: 5h 43m
What you’ll learn
Understanding of 23 design patterns described in GOF book
Python implementation understanding of each design pattern
Python source code of each design pattern
125 Quiz questions related to all 23 design patterns
Focus to make a thought process to design
Learn to visualize the problem scenario and solution in OO
20 Design Problems for better thought process
Requirements
Understanding of Object Oriented Concepts
Basic understanding of UML
Experience in Python
Free PyDev for Eclipse or any Python IDE/Environment
Description
This “Design Patterns In Python” course covers all 23 GOF design patterns with Python code implementation.
Why learn Design Patterns
Industry requires great software designers
Demand for Software Design Skill is high
For flexible and extensible software design
To enhance the Object Oriented Software design skill
To Develop/Understand the design of software product
Moving up in Technical ladder by having great tech skill
Well prepared for interview
Design and architecture of any software/solution provides the base and makes it flexible, extensible for future requirements. A good designed software/solution makes it easy to understand and maintain. Design patterns are known as best practices to design software for problems which are repeated in nature.
This course is second one in my complete Python Design and Development course series-
Advanced Python : Take Your Python Skills To The Next Level
Design Patterns In Python Made Simple
This “Design Patterns In Python” tutorial gives you understanding of all 23 design patterns described in Gang Of Four book – “Design Patterns: Elements of Reusable Object-Oriented Software”, by Gamma, Helm, Johnson and Vlissides.
This Design Patterns through Python course covers :
Creational Design Patterns : Abstract Factory, Builder, Factory Method, Prototype, Singleton
Structural Design Patterns : Adapter, Bridge, Composite, Decorator, Facade, Flyweight, Proxy
Behavioral Design Patterns : Chain of Responsibility, Command, Interpreter, Iterator, Mediator, Memento, Observer, State, Strategy, Template Method, Visitor
Here is the course content-
Introduction to Design Patterns
Creational Design Patterns
Structural Design Patterns
Behavioral Design Patterns
In this Design Patterns using Python course, each design pattern is explained in a simple way with intent, problem, solution and structure. Also the information of participants, collaboration, consequences and code implementation are explained for each one. The design pattern structure or example implementation of Python source code are explained to understand how it will be implemented using Object Oriented features of Python.
This Design Patterns with Python course also provides Python source code of each design pattern to understand it in better way. This helps in applying the variation on implementation to see how it can resolve some other implementation bottleneck. There are 125 quiz questions on Creational, Structural and Behavioral design patterns to check your understanding.
I have used Free PyDev for Eclipse, you can use any Python IDE/Environment.
This “Learn Design Patterns In Python” online course on udemy will help to understand the best practices for design and apply them to do the better design of software projects/solutions in Python. It will also help you to prepare well for Design Patterns in Python interview questions. Knowledge of design patterns increases the capability to address interview questions of software design.
It will be good to have the Gang Of Four book – “Design Patterns: Elements of Reusable Object-Oriented Software”, by Gamma, Helm, Johnson and Vlissides as a reference book for this course.
Design Patterns In Python free source code implementation is available in pdf to download.
What Students Say-
“Solid exposition of design patterns.”
“The material is very clear so far and explained well.”
So what are you waiting for, click on Buy button to enroll now and start learning.
Who this course is for:
Students
Software Developers/Engineers
Software Designers
Software/Solution Architects
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