Mastering Python's Magic Methods: Unleashing the Power of Dunder Methods

Subhashree Mishra (~subhashree)





Behind Python's simplicity lies a powerful feature set known as "magic methods" or "dunder methods" (short for double underscore). These special methods provide a way to customize the behavior of classes, making Python objects truly dynamic and versatile. In this talk, we'll delve deep into the world of magic methods, exploring their purpose, syntax, and practical applications. Attendees will gain a comprehensive understanding of how to harness the full potential of dunder methods to create elegant and expressive Python code.


Magic methods are the secret sauce that powers many advanced features in Python, yet they remain a mystery to many developers. In this session, we'll demystify magic methods and equip attendees with the knowledge and skills to wield them effectively in their Python projects.

We'll start by introducing the concept of magic methods and their role in Python's object-oriented programming model. Attendees will learn about the dunder method naming convention and discover common magic methods such as __init__, __repr__, __str__, and __add__.

Through hands-on examples and live coding demonstrations, we'll explore a wide range of magic methods, covering topics such as:

  • Customizing object initialization and representation
  • Overriding operators for custom behavior
  • Implementing context managers with __enter__ and __exit__
  • Enabling attribute access control with __getattr__ and __setattr__
  • Leveraging magic methods for rich comparison and hashing

Attendees will also learn best practices for using magic methods effectively and avoiding common pitfalls. By the end of the talk, attendees will have a solid understanding of magic methods and be empowered to leverage them to write more expressive, maintainable, and Pythonic code.

Key Points:

  1. Introduction to magic methods: What are they, and why are they called "magic"?
  2. Exploring common magic methods and their purpose.
  3. Hands-on examples and live coding demonstrations.
  4. Best practices for using magic methods effectively.
  5. Advanced topics and real-world applications.

Audience Engagement:

  • Interactive coding exercises and demonstrations to illustrate magic method concepts.
  • Polling and audience participation to gauge familiarity with magic methods and gather questions.
  • Open discussion and Q&A sessions to address attendees' specific use cases and challenges.


  • A deep understanding of Python's magic methods and their role in object-oriented programming.
  • Practical knowledge and skills for leveraging magic methods to customize class behavior.
  • Confidence in writing more expressive, maintainable, and Pythonic code using magic methods.


Basic familiarity with Python programming and object-oriented concepts is recommended.

Speaker Info:

Yash is a Software Quality Engineer currently employed at Red Hat, where he is a member of the Insights for OpenShift - Resource Optimization Team. With a background in SDET/DevOps, he is driven by a strong passion for optimizing product release workflows and ensuring efficient software delivery. Yash's go-to programming languages are Python, Bash and is currently exploring Go. He is usually found reading blogs about DevOps and contributing towards open-source projects apart from his professional work. He actively gives back to the open-source community through various events and initiatives like Ceph Days India 2023, Cloud Native Day India 2023 and recently had the chance to volunteer at Kubernetes Community Day - Pune(KCD) 2024

Subhashree keeps Red Hat's Hybrid Cloud Console in check as part of the compliance team. She's got a knack for Python and loves tackling tough challenges. Always on the lookout for new things to learn, she's a perpetual explorer. But Subhashree's not just about work—she's big on giving back. Whether it's chipping in on open-source projects or volunteering in her community, she's all about making a positive impact.

Section: Core Python
Type: Talk
Target Audience: Advanced
Last Updated: