Object-Oriented Programming is a programming paradigm that organizes software design around data objects rather than functions. OOP emphasizes encapsulation, abstraction, inheritance, and polymorphism. It models real-world entities, is supported by languages like Java and Python, and focuses on how objects interact within software.
ArjanCodes (4 mentions) references Object-Oriented Programming as a prerequisite in "If You’re Not Using Python DATA CLASSES Yet, You Should 🚀" and suggests refactoring away from it, as seen in "The Real Reason the Singleton Pattern Exists."
Singletons are frequently dismissed as a relic of rigid Java-style architecture, yet they offer a secret weapon: controlled instantiation. In this deep dive, we examine why the pattern creates testing nightmares and how to implement a thread-safe version that facilitates lazy-loading for heavy resources like LLMs.
The traditional Strategy pattern often clutters Python projects with redundant class hierarchies. By shifting to a functional approach using closures and partial application, you can achieve the same modularity with significantly less code. This exploration into Python's functional capabilities reveals how to 'freeze' arguments to create more flexible, reusable logic.
Standard Python classes often bury your data under a mountain of boilerplate, making simple comparisons and sorting a logistical nightmare. Professor Hale explores how Python's dataclasses act as a precision tool for modern developers, automating the mundane to reveal the raw power of your information. Learn how to transform fragile containers into robust, immutable structures that reflect the true architecture of your data.
Legacy code often collapses under the weight of massive if-else chains that handle different logic scenarios. By implementing the Strategy Pattern, you can decouple your algorithms from your core logic, allowing for seamless expansion. Whether you choose a classic object-oriented approach or a sleek functional method using Python's first-class functions, this technique ensures your software remains as resilient as a master-built ruin.