0 views collected around this technical thread.
This article explains Python’s core principle that every value is an object, detailing how identity, type, and value define objects, and contrasts mutable and immutable types through practical code examples, illustrating their impact on memory management, variable assignment, function arguments, and common pitfalls.
This article explains the core concepts of Python object‑oriented programming, covering class definitions, object creation, attributes, instance, class and static methods, inheritance, and polymorphism, and provides clear code examples for each topic.
This article introduces Python's object‑oriented programming fundamentals, explaining how to define classes, instantiate objects, differentiate class and instance attributes, and use various method types, followed by practical examples of inheritance, polymorphism, and encapsulation to build well‑structured, maintainable code.
This article introduces Python's class and object fundamentals, covering class definitions, instance and class variables, inheritance, special (dunder) methods, and advanced examples such as encapsulation, operator overloading, and the use of class and static methods, all illustrated with clear code snippets.
An extensive Python tutorial covering numeric operations, string handling, built‑in functions, data structures, class and object concepts, as well as useful tools such as iterators, file I/O, serialization, and common utilities, illustrated with clear code examples.
This article provides a comprehensive overview of PHP variables and its eight basic data types—including scalars, compound, and special types—explaining declaration rules, naming best practices, dynamic variables, strings, integers, floats, booleans, arrays, and objects to help beginners start programming with PHP.
This article introduces the core concepts of object‑oriented programming—classes, objects, abstraction, encapsulation, inheritance, and polymorphism—using clear explanations and practical PHP code examples that demonstrate class definitions, object instantiation, method calls, and inheritance hierarchies.
This article explains the internal mechanics of Git, covering its distributed nature, object model (commits, trees, blobs), branch creation, merging strategies, conflict resolution, and the Myers algorithm used for diff operations, illustrated with command‑line examples and diagrams.
Although numeric wrapper objects in Java may hold equal values, using the equals method on different wrapper types—or mixing primitive and wrapper types—returns false; this article explains the underlying source‑code behavior and recommends using type‑consistent equals or the compare methods to avoid bugs.
This article explains Python's object model, showing that numbers, strings, lists, tuples, sets, dictionaries, functions, classes, and modules are all objects, and then thoroughly introduces decorators, describing their design‑pattern nature, typical uses such as logging and profiling, and demonstrates class‑decorator implementation with practical examples.
This article explains how Git works internally by describing the .git directory layout, the creation of blob, tree and commit objects during init, add, and commit operations, and how branches, HEAD, remote configuration, reflog, and diff commands manage version history.
This article explains how Git stores data by describing the .git directory layout, the four object types (blob, tree, commit, tag), how objects are hashed and organized, and how Git packs objects to save space, answering why a second commit stores a full file.
This article explains when to use JavaScript arrays versus objects by describing their memory layout, common operations such as adding, removing, and searching elements, and analyzing each operation's time complexity using Big O notation, while also covering hash collisions and practical performance considerations.
This article provides a thorough overview of Git, covering its origins, core workflow areas, file‑status transitions, essential and advanced commands, merge and rebase strategies, object model, and reference handling, all illustrated with practical code snippets and visual diagrams.
This article provides a comprehensive guide to JavaScript’s object model, covering object literals, constructor functions, prototype inheritance, prototype chains, and practical coding patterns, illustrating how to create, extend, and manage objects efficiently in modern frontend development.
This article explains the core concepts of object‑oriented programming for Java beginners, covering the relationship between classes and objects, the four OOP principles, comparisons with procedural design, memory layout, and includes practical code examples to illustrate how to model real‑world entities in software.
This article explains Python's id() function, how objects and references work, and demonstrates parameter passing behavior with detailed code examples illustrating memory address handling for immutable and mutable types, including lists, integers, and strings, and clarifies why variable assignments may share the same address.
This article explains the core concepts of object‑oriented programming in Java, covering the relationship between classes and objects, the four OOP principles, comparisons with procedural programming, illustrative Gomoku game code, and how Java’s stack and heap memory model underpins references and object instantiation.
This guide uses a house‑building analogy and vivid illustrations to demystify Python classes, objects, variable assignment, and object identity, helping beginners grasp object‑oriented fundamentals and avoid common misconceptions.