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Core Python 3

Custom Attributes and Descriptors

Robert Smallshire and Austin Bingham

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.

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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

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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

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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.

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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.

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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.

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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.

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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