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Python Decorator Functions
Noah Gift
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/z58y9e/python
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
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
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Python Decorator Functions.
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Career center
Learners who complete Python Decorator Functions will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use their knowledge of programming languages and statistical methods to analyze data and help businesses make decisions. The Python Decorator Functions course can be a valuable tool for Data Scientists because it teaches them how to write more efficient and elegant code. This can help them to save time and produce more accurate results.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. The Python Decorator Functions course can help Software Engineers to write more efficient and robust code. This can lead to higher quality software products and increased customer satisfaction.
Web Developer
Web Developer
Web Developers design and develop websites and web applications. The Python Decorator Functions course can help Web Developers to create more efficient and user-friendly websites. This can lead to increased traffic and higher conversion rates.
Database Administrator
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 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 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
Business Analyst
Business Analysts use their knowledge of business processes to identify and solve business problems. The Python Decorator Functions course can help Business Analysts to write more efficient and effective business analysis reports. This can lead to better decision-making and improved business outcomes.
Project Manager
Project Manager
Project Managers plan and execute projects. The Python Decorator Functions course can help Project Managers to write more efficient and effective project plans. This can lead to more successful projects and improved project outcomes.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation. The Python Decorator Functions course can help Technical Writers to write more efficient and effective documentation. This can lead to improved user satisfaction and reduced support costs.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test and evaluate software products. The Python Decorator Functions course can help Quality Assurance Analysts to write more efficient and effective test scripts. This can lead to improved software quality and reduced defects.
Information Security Analyst
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access. The Python Decorator Functions course can help Information Security Analysts to write more efficient and effective security scripts. This can lead to improved security and reduced risk of data breaches.
Network Engineer
Network Engineer
Network Engineers design, implement, and maintain computer networks. The Python Decorator Functions course can help Network Engineers to write more efficient and effective network management scripts. This can lead to improved network performance and reduced downtime.
Computer Support Specialist
Computer Support Specialist
Computer Support Specialists provide technical support to computer users. The Python Decorator Functions course can help Computer Support Specialists to write more efficient and effective support scripts. This can lead to improved customer satisfaction and reduced support costs.
For more career information including salaries, visit:
OpenCourser.com/course/z58y9e/python
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.
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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.
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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.
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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.
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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.
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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.
Save
Provides a fun and engaging way to learn Python programming. It uses a visual and interactive approach to explain complex concepts, including decorators and metaclasses, and good choice for beginners who want to learn Python quickly and easily.
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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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/z58y9e/python
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Effort
1 hour
Level
Introductory
Via
Coursera
Institution
Duke University
Instructor
Noah Gift
Language
English
Good to know
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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