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Showing posts from July, 2025

The AR4T Classroom: A Scheme of Work [proto-type:beta]

The AR4T Classroom: A Scheme of Work The AR4T Classroom: A Scheme of Work 1. The Project Concept This document outlines a two-week project-based learning plan for a programming class. It uses the "A Radically-reduced Text" (AR4T) paradigm to empower students to build a feature-rich, self-contained Python application, while abstracting away complex backend services. The goal is to let students focus on UI/UX, application logic, and database fundamentals, using a workflow modelled on the industry-standard GitHub Flow. Students will each build a simple "Report Writer" GUI application within a single Python file. This application will allow them to write, save, load, and even get AI-powered summaries of their reports. The Innovation: The student's mai...

The AR4T Paradigm: A Playbook for Self-Contained Python Applications

The AR4T Paradigm: A Playbook for Self-Contained Python Applications The AR4T Paradigm: A Playbook for Self-Contained Python Applications The "AR4T" (A Radically-reduced Text) paradigm reimagines Python development, advocating for the simplicity of single, self-contained script files. This post presents the argument for this approach and provides a technical playbook for its implementation. The Argument for AR4T Modern Python development often involves intricate project scaffolding, virtual environments, and multiple dependency files ( requirements.txt , pyproject.toml ). While essential for large-scale applications, this complexity can be burdensome for smaller projects, utilities, and rapid prototyping. The AR4T paradigm proposes a departure from this for the sake of portability, simplicity, and reduced cognitive overhead . Core Principles: ...

Namespaces & Inheritance: A Deep Dive into Dependency Injection

Namespaces & Inheritance: A Deep Dive into Dependency Injection Namespaces & Inheritance: A Deep Dive into Dependency Injection Let's connect the dots between namespaces and Dependency Injection (DI) , especially through the less common lens of inheritance . Understanding this relationship reveals how names like UserRepository map to concrete code and how dependencies flow through an application. Crash Course: What is a Namespace? At its core, a namespace is a system to ensure that all the names in a program are unique and can be used without conflict. Think of it as a dictionary where the keys are names (like variables or functions) and the values are the objects they refer to. Why are they important? Avoiding Conflicts: They prevent ambiguity. If two libraries define a function called process_data() , namespaces keep them separate. Organization: The...

follow-up questions

  Great follow-up questions! Let's unpack these points to get a deeper understanding of Dependency Injection via Inheritance and its implications within a Clean Architecture context. 1. Difference/Similarity between 'service' and 'dependency' In the sentence "The base class essentially acts as a container or provider of common services/dependencies that its children will need," the terms are used with a slight nuance but are largely overlapping in this context. Dependency (General Term): A dependency is any object that another object needs to function. It's a broad term. In our DI examples, AbstractUserRepository , GetUserProfileUseCase , UpdateUserProfileUseCase , db_connection_pool are all dependencies of some other class. Service (Specific Type of Dependency): A service is a dependency that performs an action or provides a utility . It's typically stateless (or manages its own state internally) and offers methods that other objects can cal...