Design Patterns with Python 2 from Pluralsight

This course will introduce you to eight classic software design patterns and how they can be implemented in Python to help you create programs that are professional, extendable, and maintainable.

At the core of professional programming practice is a thorough knowledge of software design patterns.

In this course,

, you will learn eight classic patterns and how to implement them in Python.

Python design patterns are a general, reusable way of solving common problems that occur when designing an application or system. Design patterns make it easier to write, read, and maintain your programs.

In this course, the eight classic software design patterns discussed are:

In this course you will learn what design patterns are - specifically eight classic software design patterns for creating professional, maintainable programs in Python. You will also learn some object-oriented programming fundamentals and the interfaces in Python.

Anyone who wants to learn Python design patterns should take this course. If you want to move beyond simple scripts to more complex systems built in Python, then this course is perfect for you.

Before beginning this course, it would help to be familiar with basic Python programming, including how to write classes, functions, and methods, and how to create and use modules and packages.

What's inside

Syllabus

Course Overview

Introduction to Design Patterns

The Strategy Pattern

The Observer Pattern

The Command Pattern

The Singleton Pattern

The Builder Pattern

The Factory Pattern

The Abstract Factory Pattern

The Null Pattern

Course Summary

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers software design patterns, which are a standard in industry programming practice

Teaches eight classic design patterns, which will help you program easier and more effectively in various situations

Develops Python design patterns, which are core skills for professional software engineering in Python

Taught by Gerald Britton, who is recognized for their work in Python development and training

Examines object-oriented programming fundamentals and Python interfaces

Assumes working knowledge of Python including classes, functions, and modules, so it may not be suitable for beginners

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 Patterns with Python 2 with these activities:

Review Python programming fundamentals

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Refreshes fundamental Python concepts, ensuring a strong foundation for understanding design patterns.

Browse courses on Python

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Review core Python concepts such as variables, data types, and operators.
Practice writing simple Python functions and classes.
Complete online quizzes or exercises to test your understanding.

Compile a library of Python design pattern resources

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Encourages learner autonomy and resourcefulness by having them gather and organize relevant learning materials.

Browse courses on Python

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Search for and collect high-quality online resources related to Python design patterns.
Create a digital or physical library (e.g., a Notion page, a GitHub repository, a document).
Organize the resources into categories or topics for easy access.

Join the Python Design Patterns discussion forum

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Engages learners in peer-to-peer discussions, fostering a deeper understanding of design patterns.

Browse courses on Python

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Join the Python Design Patterns discussion forum on a reputable platform like Stack Overflow or Reddit.
Actively participate in discussions, asking questions, sharing insights, and engaging with other learners.
Apply the knowledge gained from the discussions to your own projects.

Four other activities

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Solve Python design pattern challenges on LeetCode

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Provides focused practice on specific design pattern problems, improving problem-solving skills.

Browse courses on Python

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Sign up for LeetCode or a similar platform.
Search for design pattern-related challenges.
Attempt to solve the challenges, applying your knowledge of design patterns.
Review solutions and discuss with peers to enhance understanding.

Explore the tutorial on Singleton Design Pattern

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Provides a hands-on opportunity to work with the Singleton design pattern in Python.

Browse courses on Singleton

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Follow the tutorial on the Singleton Design Pattern on the official Python documentation.
Implement the Singleton pattern in your own Python project.

Build a Python script that uses multiple design patterns

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Challenges learners to apply multiple design patterns in a single project, deepening their understanding.

Browse courses on Python

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Identify a problem that requires multiple design patterns for its solution.
Design the solution using a combination of appropriate design patterns.
Implement the solution in Python, integrating the chosen design patterns.
Test and refine the script to ensure it meets the requirements.
Present the project to peers or instructors for feedback.

Develop a Python project using design patterns

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Provides a practical application of design patterns in a real-world project, reinforcing understanding.

Browse courses on Python

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Identify a problem that can be solved using a Python project.
Design the project architecture using appropriate design patterns.
Implement the project in Python, applying the chosen design patterns.
Test and refine the project to ensure it meets the requirements.
Present the project to peers or instructors for feedback.

Career center

Learners who complete Design Patterns with Python 2 will develop knowledge and skills that may be useful to these careers:

Python Developer

A Python Developer is responsible for the design, development, and maintenance of software applications using the Python programming language. This course can be helpful for aspiring Python Developers as it provides a solid foundation in Python design patterns, which are essential for writing professional, maintainable code. By understanding and applying these patterns, Python Developers can create more efficient and reusable applications.

See salaries and explore the career path for Python Developer

Software Architect

A Software Architect designs and develops the overall architecture of software systems. This course can be useful for aspiring Software Architects as it provides a comprehensive overview of classic software design patterns. By understanding these patterns, Software Architects can make informed decisions about the design of their systems, ensuring that they are scalable, maintainable, and extensible.

See salaries and explore the career path for Software Architect

Software Engineer

A Software Engineer designs, develops, tests, and maintains software systems. This course can be useful for aspiring Software Engineers as it provides a solid foundation in Python design patterns. By understanding these patterns, Software Engineers can write more efficient, maintainable, and extensible code, which is essential for the development of high-quality software systems.

See salaries and explore the career path for Software Engineer

Data Scientist

A Data Scientist uses data to solve problems and make predictions. This course may be useful for aspiring Data Scientists as it provides an introduction to classic software design patterns. By understanding these patterns, Data Scientists can design and develop more efficient and maintainable data pipelines and models.

See salaries and explore the career path for Data Scientist

Web Developer

A Web Developer designs and develops websites and web applications. This course may be useful for aspiring Web Developers as it provides an overview of classic software design patterns. By understanding these patterns, Web Developers can create more efficient and maintainable web applications.

See salaries and explore the career path for Web Developer

DevOps Engineer

A DevOps Engineer works to bridge the gap between development and operations teams. This course may be useful for aspiring DevOps Engineers as it provides an overview of classic software design patterns. By understanding these patterns, DevOps Engineers can design and implement more efficient and maintainable CI/CD pipelines.

See salaries and explore the career path for DevOps Engineer

Product Manager

A Product Manager is responsible for the planning, development, and launch of software products. This course may be useful for aspiring Product Managers as it provides an overview of classic software design patterns. By understanding these patterns, Product Managers can make informed decisions about the design of their products, ensuring that they are user-friendly and meet the needs of their customers.

See salaries and explore the career path for Product Manager

Project Manager

A Project Manager is responsible for the planning, execution, and closure of software projects. This course may be useful for aspiring Project Managers as it provides an overview of classic software design patterns. By understanding these patterns, Project Managers can make informed decisions about the design of their projects, ensuring that they are completed on time, within budget, and to the required quality.

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Business Analyst

A Business Analyst works to understand the business needs of an organization and translate them into technical requirements. This course may be useful for aspiring Business Analysts as it provides an overview of classic software design patterns. By understanding these patterns, Business Analysts can design and document more efficient and maintainable business processes.

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Quality Assurance Analyst

A Quality Assurance Analyst is responsible for testing and verifying the quality of software products. This course may be useful for aspiring Quality Assurance Analysts as it provides an overview of classic software design patterns. By understanding these patterns, Quality Assurance Analysts can design and execute more efficient and effective test cases.

See salaries and explore the career path for Quality Assurance Analyst

Technical Writer

A Technical Writer is responsible for writing and maintaining technical documentation. This course may be useful for aspiring Technical Writers as it provides an overview of classic software design patterns. By understanding these patterns, Technical Writers can create more clear and concise documentation for software products.

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Computer Scientist

A Computer Scientist conducts research on new and emerging technologies. This course may be useful for aspiring Computer Scientists as it provides an overview of classic software design patterns. By understanding these patterns, Computer Scientists can develop more efficient and maintainable algorithms and data structures.

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Information Security Analyst

An Information Security Analyst is responsible for protecting an organization's computer systems and data from unauthorized access. This course may be useful for aspiring Information Security Analysts as it provides an overview of classic software design patterns. By understanding these patterns, Information Security Analysts can design and implement more secure systems.

See salaries and explore the career path for Information Security Analyst

Network Administrator

A Network Administrator is responsible for the planning, installation, and maintenance of computer networks. This course may be useful for aspiring Network Administrators as it provides an overview of classic software design patterns. By understanding these patterns, Network Administrators can design and implement more efficient and reliable networks.

See salaries and explore the career path for Network Administrator

Systems Administrator

A Systems Administrator is responsible for the planning, installation, and maintenance of computer systems. This course may be useful for aspiring Systems Administrators as it provides an overview of classic software design patterns. By understanding these patterns, Systems Administrators can design and implement more efficient and reliable systems.

See salaries and explore the career path for Systems Administrator