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Python 3 Decorators
Mateo Prigl
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
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Python 3 Decorators.
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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.
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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.
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While not exclusively about decorators, it does contain a useful chapter explaining decorators, particularly for more advanced users.
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Contains a collection of practical recipes for Python, including a section on decorators.
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Great companion to a course on Python decorators as it dives into advanced Pythonic idioms including decorators.
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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.
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As the title suggests, this book contains a collection of tricks and techniques for using Python effectively, including a section on decorators.
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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.
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The book features a chapter on decorators that provides a clear and accessible introduction to the topic.
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Guide to writing effective Python code. It includes a number of sections on decorators, closures, and generators.
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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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