Tag: Python
-
Topics Everyone Is Talking About No299
Why Lightweight Code Still Matters on Modern Machines • My Python Workflow, December 2025 Edition • Rethinking Array Indices: Points Between Elements • Concrete Syntax Matters, Actually • Indexed Reverse Polish Notation: A Smarter Alternative to ASTs
-
Introduction to GRASP design principles
GRASP (General Responsibility Assignment Software Patterns) defines how to distribute responsibilities across classes and objects for maintainable, scalable software. This article introduces the nine GRASP principles with real-world examples and modern framework applications for engineers in 2025.
-
Tools: abc, dataclasses, strategy helpers
In modern Python, creating clean, extensible architectures often revolves around three foundational tools: abc for defining contracts, dataclasses for concise data modeling, and strategy helpers for dynamic behavior switching. This article explores how these tools integrate to produce elegant, maintainable, and scalable systems used by teams across industries.
-
Best practices for imports and packaging in monorepos
By 2025, disciplined import and packaging strategies have become essential in managing large Python monorepos. This article provides a modern best-practice guide on structuring imports, defining clear boundaries, managing dependencies, and leveraging tools like Poetry, Pants, and Bazel for scalable development.
-
Topics Everyone Is Talking About No291
New Yorks Congestion Pricing Cuts Pollution by 22 • Django 6.0: A Milestone Release for Modern Web Development • DeepSeek Uses Restricted Nvidia Chips for AI Model, Report Reveals • MindEval: Benchmarking LLMs in Realistic Mental Health Scenarios • Cloth Simulation
-
Topics Everyone Is Talking About No289
My Favorite Compact Hash Table • Multiplying Our Way Out of Division • Offline Cybersecurity AI with RAG and Local LLM Python, FAISS, Llama 3.1 • Apples Slow AI Strategy Turns Into a Market Advantage • Rebuilding the 1996 Space Jam Website with Claude and Why It Failed
-
Empirical: recursion vs iteration and memory impact
This post empirically examines recursion versus iteration in Python, analyzing their runtime behavior, memory consumption, and scalability. Using profiling and benchmarking tools, it identifies when recursion is practical and when iteration provides significant performance advantages.
-
Topics Everyone Is Talking About No287
Show HN: Gemini Pro 3 hallucinates the HN front page 10 years from now • Ask HN: Should AI-generated replies be banned under HN rules? • LLM from Scratch, Part 28 Training a Base Model on an RTX 3090 • Compiler Engineering in Practice, Part 1 What Exactly Is a Compiler? • xkcd 1313: Regex…
-
Topics Everyone Is Talking About No285
AI Is About to Make Formal Verification Go Mainstream • Why Deprecation Warnings Fail in Python Libraries • Metacode: The New Standard for Machine-Readable Comments in Python • Horses: AI Advances GraduallyBut Human Replacement Happens Overnight • Nvidias Circular Funding Loop: A Deep Dive into AIs Financial Web