Design Pattern in Python with 100+ Real World Code Examples from Udemy

Would you like to know how to write industry standard code for a Payment Gateway, Cache Proxy, Website Middleware, Object pooling in ORMs, Customized File System, protection Proxy, Job Scheduler, Database Connection Management, Interpreter, Chat Application, Notification System, Workflow System, authorization and authentication codes and many many more using Design Pattern Techniques? This is the course for you.

All 23 and more design pattern are extensively treated in this course. All the Creational, Structural and Behavioral Design Pattern were thoroughly discussed. Our example codes are carefully selected to give you indepth understanding of different use case scenerios where they are used and what may necessitate its use.

This course took a deep dive into Design Pattern Techniques, its use cases, terminologies with different code example. It also deals with the advantages and disadvantages and when best to use the pattern with special notes on what to look for when using it.

If your coal is to be a better developer, get a job in big tech industry, quickly move from a junior developer to a senior or you are just wishing to finetune your programming skill and dig deeper into the rabbit hole?

. You have chosen the right course.

What's inside

Learning objectives

Design pattern using 100+ real world code example in python- the course for other programming language because the principles are the same accross languages
Indepth explanations, different real world use case and examples codes, when to use, advantages and disadvantages, special notes any many more
Example codes like create optimized configuration settings, cache, event manager and database connection codes create document processing code...
... logging frameworks, gui libraries code, object serialization, plugin systems, game development codes, payment gateway, document generators etc...
... computer graphics generation, financial models, resource pooling, object pooling in orms, website creation, database query codes, language translators...

... web application frameworks, banking systems codes, organizational chart, file system, interpreter, menu systems, network codes, text formatting...
... authentication, authorization, api for os, document management system, create proxies, event handling, middleware in web development, workflow systems..
...undo/redo functionality in apps, job scheduler, parsers, online marketplace, chat application, drawing app, weather monitoring, notification system...
...distributed system, booking systems, workflow management, sorting algorithm, file compression utility etc

Design pattern using 100+ real world code example in python- the course for other programming language because the principles are the same accross languages
Indepth explanations, different real world use case and examples codes, when to use, advantages and disadvantages, special notes any many more
Example codes like create optimized configuration settings, cache, event manager and database connection codes create document processing code...
... logging frameworks, gui libraries code, object serialization, plugin systems, game development codes, payment gateway, document generators etc...
... computer graphics generation, financial models, resource pooling, object pooling in orms, website creation, database query codes, language translators...
... web application frameworks, banking systems codes, organizational chart, file system, interpreter, menu systems, network codes, text formatting...
... authentication, authorization, api for os, document management system, create proxies, event handling, middleware in web development, workflow systems..
...undo/redo functionality in apps, job scheduler, parsers, online marketplace, chat application, drawing app, weather monitoring, notification system...
...distributed system, booking systems, workflow management, sorting algorithm, file compression utility etc

Syllabus

Introduction

Welcome to Design Pattern - What you will learn

Course Objectives

What is Design Pattern

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Explores creational, structural, and behavioral design patterns, which are essential for writing maintainable and scalable code in Python

Covers a wide range of real-world examples, such as payment gateways, cache proxies, and workflow systems, demonstrating the practical application of design patterns

Examines the advantages and disadvantages of each design pattern, providing insights into when and why to use them effectively in Python projects

Includes UML diagrams and Mermaid.js visualizations, which are helpful for understanding the structure and relationships between different design patterns

Teaches design patterns using Python, but the principles are the same across languages, making it useful for developers with experience in other languages

Features code examples for older applications such as GUI libraries and game development, which may not be relevant to modern software development practices

Reviews summary

Practical design patterns with python examples

According to learners, this course provides a positive and practical dive into software design patterns using Python. Many highlight the course's strength in offering numerous real-world code examples, which helps solidify understanding and apply concepts. The course is seen as a solid introduction or a good refresher, covering a broad range of patterns. While the hands-on coding approach is largely appreciated, a few reviewers suggest the pacing can be fast at times and that the depth might vary slightly between different patterns covered.

Concepts are explained clearly.

"The instructor explains the concepts clearly and concisely."

"I found the explanations easy to follow, even for complex patterns."

"Clear explanations are crucial for understanding design patterns, and this course delivers."

"The breakdown of each pattern was logical and well-articulated."

Covers a wide array of design patterns.

"It covers all 23 design patterns mentioned, giving a comprehensive overview."

"The breadth of patterns discussed in this course is impressive for the price."

"Learned about many different patterns I hadn't encountered before."

"The syllabus touches upon a vast number of creational, structural, and behavioral patterns."

Focuses on coding and applying knowledge.

"I learn best by doing, and this course's emphasis on coding makes the patterns stick."

"The hands-on exercises are well-designed and reinforce the theoretical concepts effectively."

"I appreciated the practical focus; it wasn't just theory, we actually wrote code."

"The course provides practical tools and strategies I can immediately apply to my projects."

Excellent volume of practical code samples.

"The amount of real world examples are astonishing. Definitely helps to understand the concepts better."

"I really like the 100+ real world examples provided throughout the course. It helps a lot to understand the patterns deeply."

"The coding examples for each pattern are highly relevant and applicable."

"Getting to see the design patterns applied in so many different scenarios was incredibly helpful."

Pace can be fast; depth varies by pattern.

"Sometimes the course moves a bit too quickly through the theory before diving into examples."

"While many patterns are covered, I felt some sections could have gone into greater depth."

"Pacing might be challenging for absolute beginners without prior pattern exposure."

"Could use more in-depth coverage on some of the more complex patterns."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Design Pattern in Python with 100+ Real World Code Examples with these activities:

Review Object-Oriented Programming (OOP) Principles

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Solidify your understanding of OOP concepts, which are fundamental to grasping design patterns.

Browse courses on OOP

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Review the core principles of OOP: encapsulation, inheritance, and polymorphism.
Practice writing simple classes and objects in Python.
Work through online tutorials or exercises focused on OOP concepts.

Review 'Head First Design Patterns'

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Gain a solid foundation in design patterns with a highly recommended and accessible book.

View Head First Design Patterns: Building Extensible... on Amazon

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Read the introductory chapters to understand the basic concepts of design patterns.
Focus on the patterns covered in the course syllabus.
Try the exercises and examples provided in the book.

Implement a Simple Factory Pattern

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Apply the Factory Method design pattern to create different types of objects based on input.

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Define an interface or abstract class for the objects to be created.
Create concrete classes that implement the interface.
Implement a factory class that creates instances of the concrete classes based on input.
Write a client program that uses the factory to create objects.

Four other activities

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Show all seven activities

Create a Cheat Sheet for Design Patterns

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Summarize the key aspects of each design pattern covered in the course for quick reference.

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Choose a format for your cheat sheet (e.g., document, presentation, mind map).
For each design pattern, include its intent, structure, participants, and consequences.
Add a simple code example in Python for each pattern.
Organize the cheat sheet for easy navigation and understanding.

Refactor Existing Code with Design Patterns

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Improve the structure and maintainability of existing code by applying appropriate design patterns.

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Find a piece of code that could benefit from design patterns (e.g., complex conditional logic, tight coupling).
Identify the design patterns that could be applied to improve the code.
Refactor the code to implement the chosen design patterns.
Test the refactored code to ensure it still functions correctly.

Review 'Design Patterns: Elements of Reusable Object-Oriented Software'

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Deepen your understanding of design patterns with the classic 'Gang of Four' book.

View Design Patterns: Elements of Reusable Object... on Amazon

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Read the introductory chapters to understand the motivation and principles behind design patterns.
Study the patterns covered in the course syllabus, paying attention to their structure and implementation.
Compare the examples in the book with the Python examples from the course.

Contribute to an Open Source Project Using Design Patterns

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Apply your knowledge of design patterns to contribute to a real-world open-source project.

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Find an open-source project that uses Python and design patterns.
Identify an area of the project where you can contribute (e.g., bug fix, new feature).
Implement your contribution using appropriate design patterns.
Submit your changes to the project maintainers for review.

Career center

Learners who complete Design Pattern in Python with 100+ Real World Code Examples will develop knowledge and skills that may be useful to these careers:

Software Engineer

A software engineer designs, develops, tests, and maintains software applications. This course directly applies to the work of a software engineer, especially one who is keen on writing industry-standard code. The course emphasizes real-world code examples for various applications like payment gateways, cache proxies, and database connection management, which are all scenarios a software engineer might encounter. By understanding and implementing the 23+ design patterns covered, a software engineer can develop more robust, maintainable, and scalable software solutions. The course helps a software engineer better understand different use case scenarios, advantages, and disadvantages of patterns. This course may be useful because it will help you move from junior to senior engineer.

See salaries and explore the career path for Software Engineer

Software Architect

A software architect is responsible for making high-level design choices and setting technical standards for software development projects. This course provides a solid foundation in design patterns, essential for a software architect. The course’s exploration of creational, structural, and behavioral design patterns allows for well-informed decisions regarding system architecture. This is further enhanced by the advantages and disadvantages presented in the course. A software architect will find the real-world code examples, such as those for payment gateways and workflow systems, invaluable in guiding architectural decisions and ensuring the development of robust and scalable systems.

See salaries and explore the career path for Software Architect

Backend Developer

A backend developer focuses on the server-side logic, databases, and APIs that power applications. This course helps a backend developer write more efficient and maintainable code by applying various design patterns. The course’s in-depth explanations and real-world use cases, such as database query codes, API for operating systems, and file systems, are particularly relevant. The backend developer should take this course to learn how to optimize configuration settings, manage database connections, and implement robust authentication and authorization systems. These are crucial components of backend development, making your applications more scalable and reliable.

See salaries and explore the career path for Backend Developer

Solutions Architect

A solutions architect designs and implements comprehensive technology solutions that meet specific business needs. This course can help a solutions architect because it offers a deep dive into design patterns, providing the architect with a toolkit for solving complex software challenges. The course’s real-world code examples, including those for payment gateways and workflow systems, can better inform architectural decisions. The discussions on use cases, advantages, and disadvantages of design patterns are relevant to making strategic choices in solution design. Understanding these patterns enables a solutions architect to create scalable, maintainable, and effective technology solutions tailored to unique business requirements.

See salaries and explore the career path for Solutions Architect

Full-Stack Developer

A full stack developer works on both the front-end and back-end aspects of an application. This course will benefit the full stack developer by providing a comprehensive understanding of design patterns applicable to both sides of development. With examples ranging from website creation to database query codes, a full stack developer can improve their ability to create seamless and efficient applications. The course’s treatment of middleware in web development, authentication, and authorization codes are particularly pertinent. The full stack developer can leverage this knowledge to build robust, scalable, and maintainable applications from end to end. The course can help improve a developer's skills.

See salaries and explore the career path for Full-Stack Developer

Technical Lead

A technical lead manages and guides a team of developers, ensuring the project aligns with industry best practices and technical standards. This course can help a technical lead by providing in-depth knowledge of design patterns, enabling the lead to guide their team in writing industry-standard code. The course's real-world code examples, covering areas like object pooling in ORMs and customized file systems, provide practical insights for leading development efforts. The course's coverage of advantages, disadvantages, and special notes allows the technical lead to make informed decisions. The course gives insights to leading a team towards more efficient and effective software development.

See salaries and explore the career path for Technical Lead

Principal Engineer

A principal engineer is a high-level technical expert who drives innovation and provides technical leadership within an organization. This course is useful to a principal engineer by offering advanced insights into design patterns and their practical applications. The course’s emphasis on real-world examples, such as those for banking systems codes and language translators, helps the engineer introduce cutting-edge solutions. Principal engineers are responsible for establishing best practices, and this course’s discussions on when to use each pattern, along with its advantages and disadvantages, are invaluable for setting those standards. The goal of the engineer is to ensure the organization remains at the forefront of technology.

See salaries and explore the career path for Principal Engineer

Application Developer

An application developer specializes in creating and maintaining software applications for computers and other devices. This course may be useful to an application developer because it provides practical knowledge of design patterns that can be applied to improve code architecture. The course uses many real-world examples, such as chat applications, notification systems, and workflow systems, which are directly relevant to an application developer. The course could help application developers to integrate functionalities like authentication, authorization, and API handling more efficiently. This course may improve skills in building more modular and maintainable applications using proven design principles.

See salaries and explore the career path for Application Developer

Software Consultant

A software consultant advises clients on how to best use software technology to achieve their business goals. This course can help a software consultant by offering a broad and deep understanding of design patterns, enabling the consultant to recommend the most appropriate solutions for various software challenges. The course's real-world code examples, including those for authentication and authorization codes, are useful for understanding client needs. The course discussions on the advantages and disadvantages of each pattern are essential for crafting effective recommendations. This course is a valuable tool in a software consultant’s arsenal, allowing them to provide informed and strategic advice to clients.

See salaries and explore the career path for Software Consultant

DevOps Engineer

A DevOps engineer bridges the gap between development and operations, automating and streamlining the software development lifecycle. This course may be useful for a DevOps engineer through its coverage of topics like workflow systems, job schedulers, and notification systems. A DevOps engineer can learn how to implement these systems more efficiently using design patterns. Furthermore, the course’s examples related to middleware in web development and API for operating systems are relevant to automating deployment pipelines and managing infrastructure. Applying these patterns can improve the speed and reliability of software releases, a core objective of DevOps.

See salaries and explore the career path for DevOps Engineer

Data Engineer

A data engineer designs, builds, and maintains the infrastructure that supports data storage, processing, and analysis. This course may be useful for data engineers, particularly in the context of building efficient and scalable data processing systems. The course touches upon aspects relevant to data handling, such as file compression utilities and sorting algorithms. Understanding design patterns like object pooling and caching mechanisms can help optimize data pipelines and storage solutions. Even though the course doesn’t focus solely on data engineering, the underlying principles of efficient coding and system design are applicable to the field. A data engineer would need to translate course concepts to the challenges of processing and storing large volumes of data.

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Database Administrator

A database administrator is responsible for managing and maintaining databases, ensuring their performance, security, and availability. This course may be useful for a database administrator. The course explores database connection management, database query codes, and object pooling in ORMs. These topics are related to efficient database operations. A database administrator could leverage the design patterns to optimize database interactions and improve overall system performance. The ability to implement efficient connection pooling and manage database queries effectively is crucial for maintaining a robust and responsive database environment. This course offers relevant insights, even though it does not focus solely on database administration.

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Quality Assurance Engineer

A quality assurance engineer is responsible for testing software to ensure it meets quality standards and functions correctly. This course may be useful for a quality assurance engineer because understanding design patterns can aid in creating more effective and targeted test cases. The course’s examples in areas like authentication, authorization, and file systems can help a quality assurance engineer develop comprehensive tests. This makes it possible to identify potential issues related to system security and functionality. The understanding of how software components are designed and interact enhances the ability to create relevant and meaningful test scenarios.

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IT Manager

An IT manager is responsible for overseeing an organization's technology infrastructure and ensuring it aligns with business goals. While not directly related to coding, this course may still be useful for an IT manager as it offers insight into software development best practices. The course’s coverage of design patterns provides a higher-level understanding of how software systems are built and maintained. Such understanding can aid in making informed decisions about technology investments and project management. Although the IT manager may not be directly implementing these patterns, understanding them enables more effective communication with technical teams and better oversight of software development projects.

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Project Manager

A project manager is responsible for planning, executing, and closing projects, ensuring they are completed on time and within budget. This course may be useful for project managers by providing insights into the technical aspects of software development. The course's exploration of design patterns allows the manager to understand the complexities and challenges involved in coding. While the project manager won’t be writing code, having a basic understanding of software architecture and design helps in project planning, task allocation, and risk management. This also facilitates communication with the development team, ensuring a smoother development process.

See salaries and explore the career path for Project Manager

Design Pattern in Python with 100+ Real World Code Examples

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Practical design patterns with python examples

Activities

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