We may earn an affiliate commission when you visit our partners.

Core Python 3

Custom Attributes and Descriptors

Python has a dynamism which can give our objects superpowers. This course will teach you how to implement highly flexible interfaces with where the attributes of objects are determined on-the-fly, rather than being determined in advance by classes.

When classes are too rigid, but dictionaries too flexible, you can often find a good trade-off with dynamic objects. In this course, Core Python 3: Custom Attributes and Descriptors, you’ll learn to make objects with highly dynamic interfaces. First, you’ll explore how objects are internally represented in Python. Next, you’ll discover how to customize object attribute access. Finally, you’ll learn how to define your own descriptors, which form the basis of much of how Python attributes work. When you’re finished with this course, you’ll have the skills and knowledge of Python object customization needed to produce flexible and expressive code.

Enroll now

Or start your subscription today

And complete this course over a free trial

Here's a deal for you

We found an offer that may be relevant to this course.

Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Valid for a limited time only

Future-proof your career

Access O'Reilly books, live events, courses, and more. Save with an annual subscription.

Take

15%

off

What's inside

Syllabus

Course Overview

Object Internals

Class Internals

Optimizing memory usage with slots

Descriptors

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches how to implement highly flexible interfaces, which is standard in the field of software development

Taught by Robert Smallshire and Austin Bingham, who are recognized for their work in software and data

Develops Python skills and knowledge, which are core for software development

Covers customizing object attribute access, which can add color and detail to custom software

Save this course

Save Core Python 3: Custom Attributes and Descriptors to your list so you can find it easily later:

Save

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 Core Python 3: Custom Attributes and Descriptors with these activities:

Review Object-Oriented Programming Concepts in Python

Show steps

Reviewing OOP concepts will provide students with a stronger foundation for understanding Python descriptors.

Browse courses on Object-Oriented Programming

Show steps

Read articles or tutorials on OOP in Python.
Review class-based OOP concepts.
Complete practice exercises on OOP.

Read 'Fluent Python'

Show steps

The book provides an in-depth exploration of Python's object-oriented features, including a detailed chapter on descriptors, which will complement the course material.

View Fluent Python: Clear, Concise, and Effective... on Amazon

Show steps

Take notes and highlight important points.
Acquire a copy of the book.
Read the chapter on descriptors.

Watch Video Tutorials on Python Descriptors

Show steps

Reviewing video tutorials will reinforce the concepts covered in the course and help students develop a deeper understanding of Python descriptors.

Show steps

Find video tutorials on Python descriptors.
Watch the tutorials and take notes.
Complete any practice exercises provided in the tutorials.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Practice Implementing Custom Attributes

Show steps

Practicing the implementation of custom attributes will help students develop their skills in object customization and gain a better understanding of how attributes work in Python.

Browse courses on Custom Attributes

Show steps

Create a new Python project.
Define a class with custom attributes.
Create instances of the class and access the custom attributes.
Experiment with different ways to define and use custom attributes.

Mentor Other Students in Python

Show steps

Mentoring others will help students reinforce their understanding of Python descriptors by explaining concepts to others and by working through problems together.

Browse courses on Python

Show steps

Identify a student who needs help with Python descriptors.
Schedule a time to meet with the student.
Help the student understand the concepts of Python descriptors.
Work through problems with the student.

Write a Blog Post on Python Descriptors

Show steps

Writing a blog post about Python descriptors will force students to synthesize their understanding of the topic and share their knowledge with others, solidifying their understanding of the material.

Show steps

Choose a specific aspect of Python descriptors to focus on.
Research the topic thoroughly.
Write a draft of your blog post.
Edit and revise your post.
Publish your blog post.

Contribute to an Open Source Python Project

Show steps

Contributing to an open source project will allow students to apply their skills in a practical setting and collaborate with others in the Python community, which can deepen their understanding of Python descriptors.

Browse courses on Python

Show steps

Find an open source Python project that uses descriptors.
Identify an issue or feature that you can contribute to.
Clone the project and create a local copy.
Make changes to the codebase to address the issue or implement the feature.
Submit a pull request to the project.

Career center

Learners who complete Core Python 3: Custom Attributes and Descriptors will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine learning engineers build and deploy machine learning models. Python is one of the most popular languages for machine learning. A background in object-oriented programming is very helpful for any ML engineer. This course helps build that foundation.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

Data engineers are responsible for managing and processing large datasets. A background in object-oriented programming is very helpful for any data engineer. This course can help build that foundation, with particular focus on Python.

See salaries and explore the career path for Data Engineer

Cloud Engineer

Cloud engineers are responsible for building, deploying, and managing cloud-based applications and infrastructure. Python is a popular language for cloud computing. This course is recommended for anyone looking to specialize in Python-based cloud systems.

See salaries and explore the career path for Cloud Engineer

Data Scientist

Data scientists leverage programming to uncover patterns in large datasets. A background in object-oriented programming is very helpful for any data scientist. This course helps build that foundation, with particular focus on Python.

See salaries and explore the career path for Data Scientist

Data Analyst

Data analysts use programming to uncover patterns in large datasets. Python is popular for its simplicity and ease of use. This course is recommended for anyone seeking to enhance their Python skills, including data analysts, especially those working on Python codebases.

See salaries and explore the career path for Data Analyst

Quantitative Analyst

Quantitative analysts develop and apply mathematical models to financial data. Python is one of the most popular languages for quantitative finance. A background in object-oriented programming is very helpful for any quant. This course helps build that foundation.

See salaries and explore the career path for Quantitative Analyst

Software Architect

Software architects design the overall structure of complex software systems. A background in object-oriented programming is very helpful for any software architect. This course helps build that foundation, with particular focus on Python.

See salaries and explore the career path for Software Architect

Full Stack Engineer

Full-stack engineers work on both the front end and back end of web applications. Python is a popular back-end language. Customizing object attributes and descriptors is a core component of full-stack engineering in Python.

See salaries and explore the career path for Full Stack Engineer

Software Engineer

A software engineering team may use many programming languages and paradigms. Python is popular for its simplicity and ease of use. This course is recommended for anyone seeking to enhance their Python skills, including software engineers, especially those working on Python codebases.

See salaries and explore the career path for Software Engineer

Database Administrator

Database administrators keep databases running efficiently. Many databases are built on Python. This course is recommended for anyone seeking to enhance their Python skills, including database administrators.

See salaries and explore the career path for Database Administrator

DevOps Engineer

DevOps engineers are responsible for bridging software development and operations. One ensures that any infrastructure can run Python effectively. This course is recommended for any DevOps Engineer working with Python codebases. Customizing object attributes and descriptors is a core component of Python back-ends

See salaries and explore the career path for DevOps Engineer

Web Developer

Web developers build and maintain websites. Python is a common back-end language used by web developers. This course is highly recommended for web developers using Python back-ends.

See salaries and explore the career path for Web Developer

Security Engineer

Security engineers design and implement security measures for computer systems and networks. Python is a popular general-purpose programming language. This course is recommended for anyone seeking to enhance their Python skills, including security engineers.

See salaries and explore the career path for Security Engineer

Systems Engineer

Systems engineers design, integrate, and maintain complex systems. Python is one of the most popular general-purpose programming languages. This course is recommended for anyone seeking to enhance their Python skills, including systems engineers.

See salaries and explore the career path for Systems Engineer

Computer Scientist

Computer scientists conduct research on the foundations of computing. Python is one of the most popular languages for scientific computing. A background in object-oriented programming is very helpful for any computer scientist. This course helps build that foundation.

See salaries and explore the career path for Computer Scientist

Reading list

We've selected 12 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 Core Python 3: Custom Attributes and Descriptors.

Fluent Python

Save

Delves into the intricacies of Python's design, offering a comprehensive exploration of its object-oriented features and providing valuable insights into Python's internal workings.

Core Python 3

Custom Attributes and Descriptors

Here's a deal for you

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

Share

Similar courses