The article explains how JDK 17’s java.time.LocalDate follows the Single Responsibility Principle by separating date data from formatting, contrasts this design with the older mutable java.util.Date, and shows how to spot classes that take on too many responsibilities.
This article explains why telescoping constructors and JavaBean setters are problematic, demonstrates a hand‑written Builder implementation based on Effective Java, shows how Lombok @Builder simplifies code, and warns about two common Lombok pitfalls—default values and inheritance—while offering practical solutions.
This guide presents twelve practical Pydantic v2 patterns—from a base DTO and snake/camel case handling to computed fields, immutable objects, configuration management, and endpoint protection—showing concrete code examples and a complete data‑ingestion pipeline that demonstrates how each pattern improves validation, serialization, and overall robustness in Python projects.
This article explains what immutable objects are in Python, shows how they behave when passed as function arguments through clear code examples with integers, strings, and tuples, and offers practical advice on using immutable versus mutable types to avoid unintended side effects.
Python uses a pass‑by‑object‑reference model, meaning functions receive references to objects; this article explains how mutable and immutable objects behave under this model, describes positional, keyword, default, *args and **kwargs argument types, and provides code examples illustrating each case.
This article explores the trade‑offs between efficiency, readability and maintainability in software development, presents common naming conventions and best‑practice guidelines for Java, discusses proper use of comments, and introduces advanced language constructs such as records, sealed classes and the upcoming Valhalla project.
This article provides a comprehensive guide to Python's memory management and object assignment mechanisms, clearly explaining the differences between mutable and immutable objects, direct assignment, shallow copying, and deep copying through practical code examples and visual diagrams.
This article explains Python’s built-in dict and set structures, comparing them with lists, demonstrating their fast key-value lookups, handling missing keys, and common operations like insertion, deletion, and set algebra, while providing clear code examples and practical tips for effective use.
This article explains the contract between hashCode() and equals() in Java, shows the problems caused by violating it—such as incorrect behavior in HashMap/HashSet and memory leaks—and provides practical guidelines and code examples for implementing robust hashCode methods, including the use of Apache's HashCodeBuilder.
