#Object-oriented programming

[frank-olivier]

The Evolution of Programming Paradigms: Recursion’s Impact on Language Design

“Recursion, n. See Recursion.” -- Ambrose Bierce, The Devil’s Dictionary (1906-1911)

The roots of programming languages can be traced back to Alan Turing's groundbreaking work in the 1930s. Turing's vision of a universal computing machine, known as the Turing machine, laid the theoretical foundation for modern computing. His concept of a stack, although not explicitly named, was an integral part of his model for computation.

Turing's machine utilized an infinite tape divided into squares, with a read-write head that could move along the tape. This tape-based system exhibited stack-like behavior, where the squares represented elements of a stack, and the read-write head performed operations like pushing and popping data. Turing's work provided a theoretical framework that would later influence the design of programming languages and computer architectures.

In the 1950s, the development of high-level programming languages began to revolutionize the field of computer science. The introduction of FORTRAN (Formula Translation) in 1957 by John Backus and his team at IBM marked a significant milestone. FORTRAN was designed to simplify the programming process, allowing scientists and engineers to express mathematical formulas and algorithms more naturally.

Around the same time, Grace Hopper, a pioneering computer scientist, led the development of COBOL (Common Business-Oriented Language). COBOL aimed to address the needs of business applications, focusing on readability and English-like syntax. These early high-level languages introduced the concept of structured programming, where code was organized into blocks and subroutines, laying the groundwork for stack-based function calls.

As high-level languages gained popularity, the underlying computer architectures also evolved. James Hamblin's work on stack machines in the 1950s played a crucial role in the practical implementation of stacks in computer systems. Hamblin's stack machine, also known as a zero-address machine, utilized a central stack memory for storing intermediate results during computation.

Assembly language, a low-level programming language, was closely tied to the architecture of the underlying computer. It provided direct control over the machine's hardware, including the stack. Assembly language programs used stack-based instructions to manipulate data and manage subroutine calls, making it an essential tool for early computer programmers.

The development of ALGOL (Algorithmic Language) in the late 1950s and early 1960s was a significant step forward in programming language design. ALGOL was a collaborative effort by an international team, including Friedrich L. Bauer and Klaus Samelson, to create a language suitable for expressing algorithms and mathematical concepts.

Bauer and Samelson's work on ALGOL introduced the concept of recursive subroutines and the activation record stack. Recursive subroutines allowed functions to call themselves with different parameters, enabling the creation of elegant and powerful algorithms. The activation record stack, also known as the call stack, managed the execution of these recursive functions by storing information about each function call, such as local variables and return addresses.

ALGOL's structured approach to programming, combined with the activation record stack, set a new standard for language design. It influenced the development of subsequent languages like Pascal, C, and Java, which adopted stack-based function calls and structured programming paradigms.

The 1970s and 1980s witnessed the emergence of structured and object-oriented programming languages, further solidifying the role of stacks in computer science. Pascal, developed by Niklaus Wirth, built upon ALGOL's structured programming concepts and introduced more robust stack-based function calls.

The 1980s saw the rise of object-oriented programming with languages like C++ and Smalltalk. These languages introduced the concept of objects and classes, encapsulating data and behavior. The stack played a crucial role in managing object instances and method calls, ensuring proper memory allocation and deallocation.

Today, stacks continue to be an integral part of modern programming languages and paradigms. Languages like Java, Python, and C# utilize stacks implicitly for function calls and local variable management. The stack-based approach allows for efficient memory management and modular code organization.

Functional programming languages, such as Lisp and Haskell, also leverage stacks for managing function calls and recursion. These languages emphasize immutability and higher-order functions, making stacks an essential tool for implementing functional programming concepts.

Moreover, stacks are fundamental in the implementation of virtual machines and interpreters. Technologies like the Java Virtual Machine and the Python interpreter use stacks to manage the execution of bytecode or intermediate code, providing platform independence and efficient code execution.

The evolution of programming languages is deeply intertwined with the development and refinement of the stack. From Turing's theoretical foundations to the practical implementations of stack machines and the activation record stack, the stack has been a driving force in shaping the way we program computers.

How the stack got stacked (Kay Lack, September 2024)

Thursday, October 10, 2024

[embarcaderous]

Object-Oriented Programming | Embarcadero

A technique for translating physical objects and data to computer operations and data structures is called object-oriented programming (OOP). Object-oriented techniques include classes and objects, which often offer characteristics like properties and methods. A copy assignment operator, which is used in conjunction with "operator=" to generate a new object from an existing one, is one of the characteristics of an OOP editor.

[shivam854]

https://blogzone.hellobox.co/6922712/deep-dive-into-object-oriented-programming-in-python

[thegrowthtimes]

Getting Started with Python: A Beginner's Guide pt3

In the first two parts of our beginner’s guide to Python, we covered variables, data types, conditional statements, collections, loops, and functions. In this final part, we will delve into more advanced concepts such as libraries, classes, and objects, which will further enhance your Python programming skills. Libraries: Extending Python’s Capabilities Libraries are collections of pre-written…

[kodehashtechnology]

Object-Oriented Programming Paradigm: Understanding its Importance and Applications

Object-Oriented Programming (OOP) is a powerful programming paradigm that has become a cornerstone of modern software development. With its emphasis on encapsulation, inheritance, polymorphism, and abstraction, OOP offers a structured and organized approach to solving complex problems. In this comprehensive guide, we will delve into the importance of the Object-Oriented Programming paradigm and…

[nile-bits]

JavaScript Design Patterns Unleashed: Amplifying Code Quality and Performance

In the dynamic landscape of web development, mastering JavaScript is essential for creating robust and efficient applications. One powerful approach to elevate your JavaScript code is by leveraging design patterns. In this comprehensive guide, we will delve into various JavaScript design patterns, unveiling their potential to amplify code quality and performance. Through detailed explanations and practical code examples, you’ll gain a deep understanding of how to implement these patterns in your projects...

Learn more here:

https://www.nilebits.com/blog/2024/01/design-patterns-in-javascript/

[clonecoding-en]

JavaScript Class Syntax and Object-Oriented Programming Essentials

This article provides a comprehensive overview of JavaScript's class syntax and its various features introduced in ES6 (ES2015). It emphasizes the shift from the traditional function and prototype-based object-oriented programming to the more intuitive and structured class-based approach. The article covers key concepts such as class declaration, constructor methods for initialization, method definitions, instance methods, static methods, inheritance, method overriding, access modifiers, getter and setter methods, and static members.

By explaining the rationale behind using classes and highlighting their advantages, the article helps readers understand how class syntax in JavaScript enhances code organization, reusability, and modularity. It clarifies the distinction between instance methods and static methods, making it easier for developers to grasp their appropriate use cases. Furthermore, the article offers insights into inheritance and method overriding, providing practical examples to demonstrate how class relationships can be established.

In addition, the article delves into advanced topics such as access modifiers, getter and setter methods, and static members, shedding light on encapsulation and shared behavior in classes. Overall, the article equips developers with a solid foundation for utilizing class-based object-oriented programming in JavaScript effectively.

[sweetsuburbanlegends]

rip henry winter i dont think you would have survived the computer science for non computer science majors obligatory course every liberal arts major has to do nowadays

[deletedg1rl]

she object on my programming till i am oriented

[python-programming-language]

Object-oriented Programming for short ...

Post #158: YouTube, Socratica, OOP in Python, 2025

[small-basic-programming]

Post #176: Opinion poll by Small Basic Programming on Tumblr, Question: Which object-oriented programming language do you prefer to program with?, 2023.

[snowcodes]

Question regarding languages: Python & C#

Is it possible to learn both languages at the same time? Or will it be easy to get confused between the two? I thought I would come to the lovely codeblr people who have a vast amount of experience for advice. C# is something I *want* to learn, but I *have* to learn Python for for my course that starts in January...I just want to see if it is plausible to learn both at the same time or if it will mess up my learning if I try and learn both. I'd love to hear about your experiences and what your first languages were when you first started out in the world of coding!!

[kodehashtechnology]

Demystifying Object-Oriented Programming: Key Concepts and Principles

Object-Oriented Programming (OOP) is a fundamental paradigm in software development that has revolutionized the way programmers approach problem-solving and code organization. Despite its widespread adoption, many developers still find OOP concepts daunting and challenging to grasp. In this comprehensive guide, we will demystify Object-Oriented Programming by exploring its key concepts and principles in detail, providing clarity and understanding to beginners and experienced developers alike.

1. Objects and Classes:

At the core of Object-Oriented Programming are objects and classes:

Objects are instances of classes that encapsulate data (attributes) and behavior (methods).

Classes serve as blueprints or templates for creating objects, defining their structure and behavior.

2. Encapsulation:

Encapsulation is the bundling of data and methods within a class, hiding the internal implementation details from the outside world:

Encapsulation promotes data abstraction, allowing objects to interact through well-defined interfaces.

Access modifiers such as public, private, and protected control the visibility and accessibility of class members.

3. Inheritance:

Inheritance enables code reuse and promotes hierarchical relationships between classes:

Subclasses inherit properties and methods from their superclass, allowing for code reuse and modularity.

Inheritance promotes the creation of hierarchical class structures, where subclasses specialize or refine the behavior of their superclass.

4. Polymorphism:

Polymorphism allows objects to exhibit different behaviors based on their underlying type or class:

Polymorphism can be achieved through method overriding (runtime polymorphism) or method overloading (compile-time polymorphism).

Polymorphism enhances code flexibility and extensibility, allowing for more modular and adaptable software designs.

5. Abstraction:

Abstraction involves modeling real-world entities as simplified, essential representations in code:

Abstraction focuses on capturing the essential properties and behaviors of objects while hiding irrelevant details.

Abstract classes and interfaces provide a mechanism for defining common behaviors and contracts that concrete classes must implement.

6. Message Passing:

Message passing is a fundamental mechanism in Object-Oriented Programming for objects to communicate and collaborate with each other:

Objects interact by sending messages to each other, triggering method invocations and responses.

Message passing promotes loose coupling and encapsulation, as objects are only aware of each other's interfaces, not their internal implementations.

7. Design Patterns:

Design patterns are reusable solutions to common design problems in software development:

Object-Oriented Programming languages often leverage design patterns to address recurring challenges and promote best practices.

Examples of design patterns include Factory, Singleton, Observer, and Strategy patterns, each serving specific purposes and use cases.

Conclusion:

By understanding the key concepts and principles of Object-Oriented Programming, developers can build more modular, scalable, and maintainable software systems. Whether you're a beginner learning the fundamentals of OOP or an experienced developer seeking to deepen your understanding, mastering these concepts is essential for success in the world of software development. Armed with this knowledge, developers can leverage the power of Object-Oriented Programming to create elegant and efficient solutions to complex problems, driving innovation and progress in the field of technology.

[squishmallow36]

you're just NOW telling me python has a built-in method named maketrans() ???? I can make a string trans?

[clonecoding-en]

JavaScript Class Syntax and Object-Oriented Programming Essentials

This article provides a comprehensive overview of JavaScript's class syntax and its various features introduced in ES6 (ES2015). It emphasizes the shift from the traditional function and prototype-based object-oriented programming to the more intuitive and structured class-based approach. The article covers key concepts such as class declaration, constructor methods for initialization, method definitions, instance methods, static methods, inheritance, method overriding, access modifiers, getter and setter methods, and static members.

By explaining the rationale behind using classes and highlighting their advantages, the article helps readers understand how class syntax in JavaScript enhances code organization, reusability, and modularity. It clarifies the distinction between instance methods and static methods, making it easier for developers to grasp their appropriate use cases. Furthermore, the article offers insights into inheritance and method overriding, providing practical examples to demonstrate how class relationships can be established.

In addition, the article delves into advanced topics such as access modifiers, getter and setter methods, and static members, shedding light on encapsulation and shared behavior in classes. Overall, the article equips developers with a solid foundation for utilizing class-based object-oriented programming in JavaScript effectively.