> Design Patterns In Python

This "Design Patterns In Python" course covers all 23 Gang of Four ( GOF ) design patterns with Python code implementation.

Why learn Design Patterns In Python

• 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

What you'll learn

• 23 Python design patterns described in Gang of Four ( GOF ) book
• Python design patterns implementation understanding
• Python source code of each design pattern
• 170 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

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 "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 In 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

In this Design Patterns in 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 in 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.

This "Design Patterns In Python" online course on will help to understand the best practices for design and apply them to do the better design of software projects/solutions in Python programming. 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.

Here is the course content-

• Introduction to Design Patterns
• Creational Design Patterns
• Structural Design Patterns
• Behavioral Design Patterns

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."

This "Design Patterns In Python" online course on udemy is already helping lot of students. Also it will be a good complement to any book/tutorial.

So what are you waiting for, Enroll in Course and start learning.

Who this course is for:

• Students
• Software Developers/Engineers
• Software Designers
• Software/Solution Architects
• Technical Managers

Your Instructor

Suresh Kumar Srivastava is founder of online learning site CourseGalaxy.com. He is author of popular books C In Depth, Data Structures Through C In Depth that helped 350,000+ students. He has 18+ years experience in industry and worked on architecture and design of multiple products. He has worked on Compilers, Linker, Debugger, IDE, System Utilities, System Management and Telecom/Mobile/Systems tools development.