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Python 3 Decorators

Decorators allow programmers to modify the functionality of an object without permanently modifying the object’s structure. This course will teach you how to create and use decorators in Python.

Decorator pattern in Python allows you to add new functionality to an object by wrapping it in another function. In this course, Python 3 Decorators, you’ll learn what decorators are and how to use them in your projects. First, you’ll explore functions as first-class objects in Python. This will allow us to learn about higher order functions, inner functions and closures. All of these concepts are necessary for us to understand how decorators work in Python. Next, you’ll discover how to create and use your own decorators with Python's special syntax. Once we know the basics of decorators, we will learn how to stack them and how to create decorators with arguments. Finally, you’ll learn how to create decorators for classes and how to use classes instead of functions to create decorators. When you’re finished with this course, you’ll have the skills and knowledge of Python 3 Decorators needed to create and use decorators to make your applications more flexible.

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What's inside

Syllabus

Course Overview

Working with Higher Order Functions and Closures

Implementing Function Decorators

Using Advanced Decorator Workflows

Decorating Classes and Class Decorators

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops decorators, which are useful for adding functionality to functions and classes in Python

Teaches functions as first-class objects in Python, which is a foundational concept for understanding decorators

Shows how to implement function decorators and create decorators with arguments

Explores how to decorate classes and use classes instead of functions to create decorators

Offers hands-on labs and interactive materials, fostering a practical learning experience

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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 Python 3 Decorators with these activities:

Review Functions

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By reviewing the basics of functions, you'll be better prepared to understand how decorators work and how to use them effectively.

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Read through the Python documentation on functions.
Find some code examples that use functions and try to understand how they work.
Write some simple functions of your own.

Review Python basics

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Review the basics of Python, including data types, variables, and control flow, to strengthen your foundation for decorators.

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Go through your notes from previous Python courses or tutorials.
Complete online quizzes or practice exercises on Python basics.

Review your notes from previous courses

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Review your notes from previous courses in preparation for this course, this will help you identify areas where you need more review and where you excel, allowing you to focus your efforts.

Browse courses on Higher Order Functions

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Gather your notes from previous programming courses
Review your notes, paying attention to topics such as data structures, algorithms, and object-oriented programming
Identify areas where you need more review

13 other activities

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Watch a video tutorial on decorators

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Supplement your learning by watching a video tutorial.

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Find a video tutorial
Watch the tutorial

Practice using decorators

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Reinforce your understanding of decorators by practicing using them.

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Find some practice problems
Solve the problems

Discuss decorators with a peer

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Deepen your understanding of decorators by discussing them with a peer.

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Find a peer
Discuss decorators

Follow a tutorial on Python decorators

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There are many great tutorials available online that can help you learn how to use decorators in Python. Following a tutorial can help you to understand the concepts more quickly and easily.

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Find a tutorial that is appropriate for your skill level.
Follow the tutorial step-by-step.
Experiment with the code examples provided in the tutorial.

Build a simple decorator

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Create a simple decorator that adds functionality to a function, such as logging or timing its execution.

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Choose a function to decorate.
Write a decorator function that wraps the original function.
Test your decorator by applying it to the function.

Write a blog post about decorators

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Share your knowledge of decorators with others by writing a blog post.

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Choose a topic
Research your topic
Write your post
Publish your post

Work through some practice problems on decorators

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Working through some practice problems can help you to solidify your understanding of how decorators work. You can find practice problems online or in books.

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Find some practice problems that are appropriate for your skill level.
Try to solve the problems on your own.
Check your answers against the solutions provided.

Explore Python decorator examples

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Find and follow tutorials that demonstrate how to use decorators in various practical scenarios, such as caching, logging, and performance measurement.

Browse courses on Python

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Search for tutorials on Python decorators.
Choose a tutorial that covers a topic you're interested in.
Follow the tutorial step-by-step, implementing the examples in your own code.

Complete a Python project

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Solidify your knowledge of decorators by implementing them in a project of your own design.

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Design your project
Implement the decorators
Test your project

Solve Python decorator challenges

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Practice your decorator skills by solving challenges that require you to apply decorators in creative ways.

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Find a collection of Python decorator challenges online.
Choose a challenge that matches your skill level.
Attempt to solve the challenge on your own.
Review your solution against the provided answer.

Create a project that uses decorators

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Creating a project that uses decorators can help you to apply your knowledge and skills in a practical way. You can create a project that is personal to you or you can find a project idea online.

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Come up with an idea for a project that you want to create.
Design the project and decide how you will use decorators.
Implement the project.
Test the project.

Help other students learn about decorators

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Helping other students learn about decorators can help you to solidify your own understanding of the topic. You can help other students by answering questions in forums or by creating tutorials.

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Find a forum or online community where students can ask questions about decorators.
Answer questions that students post in the forum or community.
Create a tutorial on decorators and share it with other students.

Develop a Python project using decorators

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Apply your decorator knowledge by building a Python project that utilizes decorators to enhance its functionality or design.

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Identify a problem or task that can be solved or improved using decorators.
Design a Python project that incorporates decorators as part of its solution.
Implement your project, including the development and integration of decorators.
Test and debug your project to ensure it works as intended.

Career center

Learners who complete Python 3 Decorators will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

A Machine Learning Engineer designs, develops, and maintains machine learning models. This course can help you build a foundation in machine learning by teaching you how to use Python to create and use decorators. Decorators are a powerful tool for machine learning engineers, as they allow them to add new functionality to code without permanently modifying the code itself. This can be useful for adding features to existing models or for creating new models from scratch.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

A Data Engineer designs and develops data pipelines and data warehouses. This course can help you build a foundation in data engineering by teaching you how to use Python to create and use decorators. Decorators are a powerful tool for data engineers, as they allow them to add new functionality to code without permanently modifying the code itself. This can be useful for adding features to existing pipelines or for creating new pipelines from scratch.

See salaries and explore the career path for Data Engineer

Data Analyst

A Data Analyst collects, analyzes, and interprets data to help businesses make informed decisions. This course can help you build a foundation in data analysis by teaching you how to use Python to create and use decorators. Decorators are a powerful tool for data analysts, as they allow them to add new functionality to code without permanently modifying the code itself. This can be useful for adding features to data analysis pipelines or for creating custom data visualization tools.

See salaries and explore the career path for Data Analyst

Data Scientist

A Data Scientist collects, analyzes, and interprets data to help businesses make informed decisions. This course can help you build a foundation in data science by teaching you how to use Python to create and use decorators. Decorators are a powerful tool for data scientists, as they allow them to add new functionality to code without permanently modifying the code itself. This can be useful for adding features to data analysis pipelines or for creating custom data visualization tools.

See salaries and explore the career path for Data Scientist

Full-Stack Developer

A Full-Stack Developer designs and develops both the front-end and back-end of web applications. This course can help you build a foundation in full-stack development by teaching you how to use Python to create and use decorators. Decorators are a powerful tool for full-stack developers, as they allow them to add new functionality to code without permanently modifying the code itself. This can be useful for adding features to existing applications or for creating new applications from scratch.

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

Software Engineer

A Software Engineer designs, develops, and maintains software applications. This course can help you build a foundation in software engineering by teaching you how to use Python to create and use decorators. Decorators are a powerful tool for software engineers, as they allow them to add new functionality to code without permanently modifying the code itself. This can be useful for adding features to existing applications or for creating new applications from scratch.

See salaries and explore the career path for Software Engineer

Quantitative Analyst

A Quantitative Analyst uses mathematical and statistical models to analyze financial data. This course can help you build a foundation in quantitative analysis by teaching you how to use Python to create and use decorators. Decorators are a powerful tool for quantitative analysts, as they allow them to add new functionality to code without permanently modifying the code itself. This can be useful for adding features to existing models or for creating new models from scratch.

See salaries and explore the career path for Quantitative Analyst

Cloud Architect

A Cloud Architect designs and oversees the development of cloud computing systems. This course can help you build a foundation in cloud architecture by teaching you how to use Python to create and use decorators. Decorators are a powerful tool for cloud architects, as they allow them to add new functionality to code without permanently modifying the code itself. This can be useful for adding features to existing systems or for creating new systems from scratch.

See salaries and explore the career path for Cloud Architect

Business Analyst

A Business Analyst analyzes business processes and develops solutions to improve efficiency and effectiveness. This course can help you build a foundation in business analysis by teaching you how to use Python to create and use decorators. Decorators are a powerful tool for business analysts, as they allow them to add new functionality to code without permanently modifying the code itself. This can be useful for adding features to existing processes or for creating new processes from scratch.

See salaries and explore the career path for Business Analyst

DevOps Engineer

A DevOps Engineer is responsible for the development and maintenance of software systems. This course can help you build a foundation in DevOps by teaching you how to use Python to create and use decorators. Decorators are a powerful tool for DevOps engineers, as they allow them to add new functionality to code without permanently modifying the code itself. This can be useful for adding features to existing systems or for creating new systems from scratch.

See salaries and explore the career path for DevOps Engineer

Product Manager

A Product Manager is responsible for the development and launch of new products. This course can help you build a foundation in product management by teaching you how to use Python to create and use decorators. Decorators are a powerful tool for product managers, as they allow them to add new functionality to code without permanently modifying the code itself. This can be useful for adding features to existing products or for creating new products from scratch.

See salaries and explore the career path for Product Manager

Cybersecurity Analyst

A Cybersecurity Analyst is responsible for protecting computer systems and networks from cyberattacks. This course can help you build a foundation in cybersecurity by teaching you how to use Python to create and use decorators. Decorators are a powerful tool for cybersecurity analysts, as they allow them to add new functionality to code without permanently modifying the code itself. This can be useful for adding features to existing security systems or for creating new security systems from scratch.

See salaries and explore the career path for Cybersecurity Analyst

Database Administrator

A Database Administrator is responsible for the maintenance and performance of databases. This course can help you build a foundation in database administration by teaching you how to use Python to create and use decorators. Decorators are a powerful tool for database administrators, as they allow them to add new functionality to code without permanently modifying the code itself. This can be useful for adding features to existing databases or for creating new databases from scratch.

See salaries and explore the career path for Database Administrator

Software Architect

A Software Architect designs and oversees the development of software systems. This course can help you build a foundation in software architecture by teaching you how to use Python to create and use decorators. Decorators are a powerful tool for software architects, as they allow them to add new functionality to code without permanently modifying the code itself. This can be useful for adding features to existing systems or for creating new systems from scratch.

See salaries and explore the career path for Software Architect

Web Developer

A Web Developer designs and develops websites and web applications. This course can help you build a foundation in web development by teaching you how to use Python to create and use decorators. Decorators are a powerful tool for web developers, as they allow them to add new functionality to code without permanently modifying the code itself. This can be useful for adding features to existing websites or for creating new websites from scratch.

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Reading list

We've selected 24 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Python 3 Decorators.

Programming in Python 3

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Is written by Mark Summerfield, a renowned Python developer and author. It provides a step-by-step guide to creating and using decorators in Python, covering everything from simple decorators to more advanced topics like metaprogramming.

Python 3 Decorators

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What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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