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Mateo Prigl
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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/mxumvl/python
What's inside
Syllabus
Course Overview
Working with Higher Order Functions and Closures
Implementing Function Decorators
Using Advanced Decorator Workflows
Read more
Syllabus
Course Overview
Working with Higher Order Functions and Closures
Implementing Function Decorators
Using Advanced Decorator Workflows
Read more
Decorating Classes and Class Decorators
Good to know
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
Save this course
Save Python 3 Decorators to your list so you can find it easily later:
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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
Show steps
By reviewing the basics of functions, you'll be better prepared to understand how decorators work and how to use them effectively.
Browse courses on
Functions
Show steps
-
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
Show steps
Review the basics of Python, including data types, variables, and control flow, to strengthen your foundation for decorators.
Browse courses on
Python Basics
Show steps
-
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
Show steps
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
Show steps
-
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
Expand to see all activities and additional details
Show all 16 activities
Watch a video tutorial on decorators
Show steps
Supplement your learning by watching a video tutorial.
Browse courses on
Python
Show steps
-
Find a video tutorial
-
Watch the tutorial
Practice using decorators
Show steps
Reinforce your understanding of decorators by practicing using them.
Browse courses on
Python
Show steps
-
Find some practice problems
-
Solve the problems
Discuss decorators with a peer
Show steps
Deepen your understanding of decorators by discussing them with a peer.
Browse courses on
Python
Show steps
-
Find a peer
-
Discuss decorators
Follow a tutorial on Python decorators
Show steps
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.
Show steps
-
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
Show steps
Create a simple decorator that adds functionality to a function, such as logging or timing its execution.
Browse courses on
Decorators
Show steps
-
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
Show steps
Share your knowledge of decorators with others by writing a blog post.
Browse courses on
Python
Show steps
-
Choose a topic
-
Research your topic
-
Write your post
-
Publish your post
Work through some practice problems on decorators
Show steps
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.
Show steps
-
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
Show steps
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
Show steps
-
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
Show steps
Solidify your knowledge of decorators by implementing them in a project of your own design.
Browse courses on
Python
Show steps
-
Design your project
-
Implement the decorators
-
Test your project
Solve Python decorator challenges
Show steps
Practice your decorator skills by solving challenges that require you to apply decorators in creative ways.
Browse courses on
Python
Show steps
-
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
Show steps
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.
Show steps
-
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
Show steps
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.
Show steps
-
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
Show steps
Apply your decorator knowledge by building a Python project that utilizes decorators to enhance its functionality or design.
Browse courses on
Python
Show steps
-
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.
Review Functions
Show steps
By reviewing the basics of functions, you'll be better prepared to understand how decorators work and how to use them effectively.
Browse courses on
Functions
Show steps
Show steps
Show steps
- 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
Show steps
Review the basics of Python, including data types, variables, and control flow, to strengthen your foundation for decorators.
Browse courses on
Python Basics
Show steps
Show steps
Show steps
- 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
Show steps
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
Show steps
Show steps
Show steps
- 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
Expand to see all activities and additional details
Show all 16 activities
Watch a video tutorial on decorators
Show steps
Supplement your learning by watching a video tutorial.
Browse courses on
Python
Show steps
Show steps
Show steps
- Find a video tutorial
- Watch the tutorial
Practice using decorators
Show steps
Reinforce your understanding of decorators by practicing using them.
Browse courses on
Python
Show steps
Show steps
Show steps
- Find some practice problems
- Solve the problems
Discuss decorators with a peer
Show steps
Deepen your understanding of decorators by discussing them with a peer.
Browse courses on
Python
Show steps
Show steps
Show steps
- Find a peer
- Discuss decorators
Follow a tutorial on Python decorators
Show steps
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.
Show steps
Show steps
Show steps
- 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
Show steps
Create a simple decorator that adds functionality to a function, such as logging or timing its execution.
Browse courses on
Decorators
Show steps
Show steps
Show steps
- 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
Show steps
Share your knowledge of decorators with others by writing a blog post.
Browse courses on
Python
Show steps
Show steps
Show steps
- Choose a topic
- Research your topic
- Write your post
- Publish your post
Work through some practice problems on decorators
Show steps
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.
Show steps
Show steps
Show steps
- 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
Show steps
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
Show steps
Show steps
Show steps
- 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
Show steps
Solidify your knowledge of decorators by implementing them in a project of your own design.
Browse courses on
Python
Show steps
Show steps
Show steps
- Design your project
- Implement the decorators
- Test your project
Solve Python decorator challenges
Show steps
Practice your decorator skills by solving challenges that require you to apply decorators in creative ways.
Browse courses on
Python
Show steps
Show steps
Show steps
- 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
Show steps
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.
Show steps
Show steps
Show steps
- 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
Show steps
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.
Show steps
Show steps
Show steps
- 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
Show steps
Apply your decorator knowledge by building a Python project that utilizes decorators to enhance its functionality or design.
Browse courses on
Python
Show steps
Show steps
Show steps
- 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
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.
Data 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.
Data Analyst
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.
Data Scientist
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.
Full-Stack Developer
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.
Software Engineer
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.
Quantitative Analyst
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.
Cloud Architect
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.
Business Analyst
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.
DevOps Engineer
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.
Product Manager
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.
Cybersecurity Analyst
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.
Database Administrator
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.
Software Architect
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.
Web Developer
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.
For more career information including salaries, visit:
OpenCourser.com/course/mxumvl/python
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.
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.
Practical guide to using Python in real-world projects. It covers a wide range of topics, including decorators, closures, and generators.
Save
Serves as a great reference and provides a deep dive on decorators.
Collection of advanced Python recipes. It includes a number of recipes for using decorators, closures, and generators.
Save
While not exclusively about decorators, it does contain a useful chapter explaining decorators, particularly for more advanced users.
Save
Contains a collection of practical recipes for Python, including a section on decorators.
Save
Great companion to a course on Python decorators as it dives into advanced Pythonic idioms including decorators.
Save
Comprehensive guide to the Python standard library. It includes a number of sections on decorators, closures, and generators.
Collection of design patterns for Python. It includes a number of patterns for using decorators, closures, and generators.
This concise and comprehensive reference for Python, including a section on decorators.
Save
As the title suggests, this book contains a collection of tricks and techniques for using Python effectively, including a section on decorators.
Save
Including a book on general python is useful for those who might be new to the language but want to learn more about decorators. is specifically written for Python 3 and provides a thorough introduction to the language, making it a great starting point for beginners. It includes a chapter on decorators.
Save
The book features a chapter on decorators that provides a clear and accessible introduction to the topic.
Save
Guide to writing effective Python code. It includes a number of sections on decorators, closures, and generators.
Save
Provides a comprehensive overview of Python programming, including a chapter on decorators.
Guide to object-oriented programming in Python. It includes a number of sections on decorators, closures, and generators.
Save
Offers an accessible and entertaining introduction to Python, including a chapter on decorators.
Guide to using Python for data analysis. It includes a number of sections on decorators, closures, and generators.
This official Python documentation provides a comprehensive and up-to-date overview of the language, including a section on decorators.
Guide to using Python for machine learning. It includes a number of sections on decorators, closures, and generators.
Guide to using Python for web development. It includes a number of sections on decorators, closures, and generators.
Guide to using Python for finance. It includes a number of sections on decorators, closures, and generators.
Guide to using Python for bioinformatics. It includes a number of sections on decorators, closures, and generators.
Guide to using Python for natural language processing. It includes a number of sections on decorators, closures, and generators.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/mxumvl/python
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Time
85 hours
Level
Advanced
Via
Pluralsight
Instructor
Mateo Prigl
Language
English
Good to know
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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