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Noah Gift

In this 1-hour hands-on Python programming project, you will learn how to use decorators to modify behaviors of functions without changing the source code. You’ll study common use cases like timing, logging, caching and more. By the end, you’ll be able to transparently add features to functions using custom decorators.

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What's inside

Syllabus

Project Overview
In this 1-hour hands-on Python programming project, you will learn how to use decorators to modify behaviors of functions without changing the source code

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores decorators, a useful tool for function modification in Python
Incorporates hands-on exercises to solidify understanding of decorators
Taught by Noah Gift, an experienced Python instructor
Suitable for beginners seeking to enhance their Python skills

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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 Decorator Functions with these activities:
Python Functions Refresher
Ensure a solid understanding of Python functions, a prerequisite for mastering decorators.
Show steps
  • Review course materials on Python functions.
  • Solve practice problems involving functions.
Decorator Discussion Group
Engage with fellow students to discuss and exchange ideas on the use of decorators.
Show steps
  • Join a study group or discussion forum.
  • Participate in discussions about decorators.
  • Share your knowledge and experiences with others.
Explore Decorator Applications
Expand your knowledge of decorators by exploring tutorials and articles that showcase their use in various applications.
Show steps
  • Search for tutorials on decorator applications.
  • Follow the tutorials to learn how to use decorators.
  • Experiment with using decorators in your own code.
Four other activities
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Show all seven activities
Python Decorator Drills
Reinforce your understanding of decorators by solving a series of practice problems.
Show steps
  • Work through the provided exercises.
  • Implement decorators on your own functions.
  • Test your understanding by completing the practice quiz.
Decorator Design Challenge
Solidify your grasp of decorators by designing and implementing a custom decorator to solve a real-world problem.
Show steps
  • Identify a common task or problem that could benefit from a decorator.
  • Design and implement your decorator.
  • Test your decorator thoroughly.
  • Share your decorator with the community.
Contribute to Decorator Library
Gain practical experience and expand the decorator ecosystem by contributing to an open-source decorator library.
Browse courses on Decorators
Show steps
  • Find an open-source decorator library.
  • Identify areas where you can contribute.
  • Develop and submit your contributions.
Python Decorator Challenge
Test your skills and push the boundaries of your understanding by participating in a coding competition focused on decorators.
Show steps
  • Register for the competition.
  • Solve the decorator-related challenges.
  • Submit your solutions and compete with other participants.

Career center

Learners who complete Python Decorator Functions will develop knowledge and skills that may be useful to these careers:
Data Scientist
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Software Engineer
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Web Developer
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Database Administrator
Database Administrators maintain and optimize databases. The Python Decorator Functions course can help Database Administrators to write more efficient and robust database queries. This can lead to improved database performance and reduced downtime.
Systems Administrator
Systems Administrators manage and maintain computer systems and networks. The Python Decorator Functions course can help Systems Administrators to write more efficient and reliable scripts. This can lead to improved system performance and reduced downtime.
Data Analyst
Data Analysts use their knowledge of data analysis techniques to identify trends and patterns in data. The Python Decorator Functions course can help Data Analysts to write more efficient and robust data analysis scripts. This can lead to more accurate results and better informed decision-making.
Business Analyst
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Project Manager
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Technical Writer
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Quality Assurance Analyst
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Information Security Analyst
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Network Engineer
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Computer Support Specialist
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Reading list

We've selected eight 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 Decorator Functions.
Provides an advanced exploration of Python metaprogramming techniques, including decorators and metaclasses. It covers topics such as custom class creation, dynamic code generation, and runtime code modification.
Comprehensive guide to Python programming, including decorators and metaclasses. It is written for experienced Python developers and provides a deep dive into the language's internals and advanced features.
Comprehensive reference guide to the Python programming language. It provides detailed information about all aspects of Python, including decorators and metaclasses, making it a valuable resource for both beginners and experienced Python developers.
Comprehensive guide to writing professional-quality Python code. It covers topics such as code style, testing, and debugging, which are essential for developing reliable and maintainable Python applications that use decorators and metaclasses.
Provides a comprehensive guide to writing effective and maintainable Python code. It covers topics such as code organization, testing, and debugging, which are essential for developing robust and efficient Python applications that use decorators and metaclasses.
Contains a collection of practical recipes for solving common Python programming problems. It provides a quick and easy way to learn about different aspects of Python programming, including decorators and metaclasses.
Practical guide to using Python for automating tasks. It covers topics such as web scraping, data analysis, and scripting, which can be helpful when using decorators and metaclasses to automate complex tasks.

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