The article explains how the phpy extension lets PHP import Python libraries like numpy, demonstrates array and matrix operations with operator overloading, compares PHP and Python operators, and shows the new concise syntax introduced in phpy 2.2 for more readable scientific code.
This article explains Python's dunder (double‑underscore) magic methods, showing how overriding __str__, __repr__, __add__, __eq__, __iter__, and others lets custom classes behave like built‑in types, with concrete examples such as Book, Wallet, and TransactionHistory.
PHPX 2.0 is a re‑engineered extension library that lets developers write C++ code using PHP‑style dynamic syntax, offering safe memory handling, operator overloading, var‑keyword typing, and seamless integration with Composer and CMake for building high‑performance PHP extensions.
This tutorial explains why and how to overload arithmetic and stream operators in C++, using a Complex class example to show member and friend function implementations, code snippets, and key concepts for making custom types as intuitive as built‑in types.
This article explains Python magic (dunder) methods, their purposes, common examples such as __init__, __str__, __repr__, __len__, __getitem__, __setitem__, __delitem__, __iter__, __call__, __add__, __eq__, __hash__, and shows how to implement operator overloading, iterator and context‑manager protocols while discussing naming rules, performance, inheritance, type checking, and limitations.
This guide walks through essential C++ class design techniques—including header guards, private data encapsulation, const-correctness, initializer lists, reference parameters, operator overloading, static members, the Big Three, deep vs shallow copying, and singleton patterns—to help you write robust, maintainable code.
This article explains Python’s special attributes and magic methods—including __hash__, __eq__, __bool__, __repr__, __str__, and context management—showing how they affect object behavior, hashing, equality, truth testing, representation, and resource handling with clear code examples.
The article explains how a C++ LINQ‑style pipeline, built on concepts like _Can_pipe and composable _Pipeline classes, provides lazy, type‑safe range operations using the pipe operator, serving as the foundation for the C++20 ranges library and future execution framework.
The article explains how using operators instead of function calls improves code readability, leverages visual processing in the brain, and aligns with mathematical laws such as commutativity, associativity, identity and distributivity, while also discussing performance trade‑offs in Python.
This article explains Python operator overloading, introduces special methods like __init__, __str__, __add__, and __lt__, provides step‑by‑step code examples for overloading the + operator and comparison operators, and demonstrates the results with clear output images.
This article introduces a Groovy‑based Verify utility that overloads arithmetic and comparison operators to simplify JsonPath response validation, eliminating manual type conversions and enabling expressive syntax for front‑end test cases.
The article explains how to use Groovy's operator‑overloading features to create a JSONPath‑style verification DSL, detailing which operators are implemented, the challenges with sign‑conversion operators, and providing a full example class with logging for each overloaded operator.
The article explains why Java does not support operator overloading, highlighting reasons such as maintaining language simplicity and clarity, preventing programming errors, reducing JVM complexity, and facilitating tool development, while contrasting Java’s design choices with C++ capabilities.
This article demonstrates Groovy's operator overloading capabilities through Java-compatible code examples, including arithmetic, shift, and increment operators, shows console output, integrates a performance‑testing thread multiplication demo, and highlights Groovy's ability to overload even the dot operator.
This article explains how Python treats the Boolean type as a subclass of integer, demonstrates the results of arithmetic and augmented operations on True, and shows why assigning to True or False is allowed in Python 2 but prohibited in Python 3.
This article explains Kotlin's function syntax, special return types Unit and Nothing, nested functions, operator overloading, infix expressions, closures, self‑executing closures, lambda expressions, higher‑order functions, and inline functions, illustrating each concept with clear code examples.
