The author reflects on years of overusing classes in Python, explains why simpler constructs like functions, dataclasses, dictionaries, and modules often yield clearer, more maintainable code, and outlines when class‑based design still makes sense.
Learn how Python’s @dataclass decorator, introduced in Python 3.7, streamlines class definition by automatically generating constructors, string representations, and more, while covering default values, mutable defaults handling, field exclusion, read‑only classes, and conversion to tuples and dictionaries for efficient data handling.
This article explains Java 14’s preview feature records, showing how they replace verbose classes with concise data carriers, detailing automatically generated members, compact constructors for validation, inherent limitations, and new reflection methods, all illustrated with clear code examples.
This article introduces several practical Python decorators—including @lru_cache, @jit, @do_twice, @count_calls, @dataclass, @singleton, @use_unit, and @singledispatch—explaining their purposes, benefits, and providing code examples to demonstrate how they can improve performance, readability, and functionality in Python programs.
This article introduces Python decorators, explains how they can modify function behavior, and provides practical examples of eight useful decorators—including @lru_cache, @jit, @do_twice, @count_calls, @dataclass, @singleton, @use_unit, and @singledispatch—along with code snippets that demonstrate their implementation and benefits.
The article argues that while object‑oriented programming isn’t inherently flawed, it is often unnecessary in Python, illustrating how the same tasks can be achieved with simple data classes and pure functions, reducing code size and improving clarity.
The article argues that object‑oriented programming is often unnecessary in Python, demonstrates a functional‑style alternative with dataclasses and plain functions, and lists exceptions and drawbacks of OOP, encouraging a simpler, more readable codebase.
