Python Hub Weekly Digest for 2025-06-29
This week in Python, popular topics included storing images in DNS TXT records, detecting vowels in strings, and the impact of LLMs on programming language design. Interesting projects included MCP integration with AI language models, Python's ability to run Mojo code, and the workings of global variables in Python bytecode. Articles explored building modern Django apps with Alpine AJAX, understanding the KV Cache in LLMs, and avoiding PostgreSQL pitfalls. New projects included MiniMax-AI, llm-memorization, and sourcerer, a CLI-based cloud storage explorer. Have a great week and happy coding!
đź’– Most Popular
How to Write the Worst Possible Python Code (Humor)
dnsimg - storing images in txt records
The author experiments with storing images in DNS TXT records by converting image data to hex, splitting it into 2048-character chunks, and creating a protocol-like method for retrieval and reconstruction. The process demonstrates both the feasibility and practical limitations of this approach, including DNS record size constraints and the need for custom scripts to upload, fetch, and re...
The fastest way to detect a vowel in a string
The author explores 11 different methods for detecting vowels in a string using Python, benchmarking their performance and analyzing their underlying implementation, including Python bytecode and regex internals. The results show that for short strings, a simple loop is fastest, but for longer strings, regex-based approaches outperform others due to their optimized C-level implementation...
Programming Language Design in the Era of LLMs: A Return to Mediocrity?
The article argues that the rise of LLMs is making it less appealing to design new domain-specific languages (DSLs), since LLMs excel at generating code in popular languages like Python but struggle with niche DSLs. It explores how language designers might adapt by teaching LLMs about DSLs, integrating informal and formal workflows, and focusing on verified specification languages, but w...
What ever happened to "Zope"?!
đź“– Articles
MCP Explained: How to Expose Your API to AI Models
The video explains how to use the Model Context Protocol (MCP) to connect your APIs and external tools with AI language models like ChatGPT or Claude, enabling them to interact with real-world data and services. It covers two main architectural patterns for MCP integration, provides practical Python code examples, and offers tips for building scalable, maintainable MCP servers for AI app...
Python can run Mojo now
The post explores how Python can now call Mojo code, offering a promising way to speed up Python functions with a simple compiled language. While still early and showing some rough edges like overflow issues, Mojo demonstrates significant performance gains in examples like prime counting, making it an exciting tool for Python developers seeking faster execution.
How global variables work in Python bytecode
Global variables in Python bytecode are resolved dynamically at runtime using a global store, unlike local variables which are accessed by index for speed—this allows for Python’s flexible and dynamic behavior. The VM uses the LOAD_GLOBAL instruction to look up global variable names in the global store, enabling features like monkey patching and runtime modification, but introducing an e...
ML-GSAI / LLaDA
Official PyTorch implementation for "Large Language Diffusion Models"
Beyond htmx: building modern Django apps with Alpine AJAX
The article demonstrates how to use Alpine.js and AJAX with Django to create interactive, client-side web applications that efficiently handle dynamic data updates without full page reloads. It provides practical examples and code snippets for integrating Alpine.js with Django views, serializers, and templates to enhance user experience through seamless frontend-backend communication.
This Secret Math Equation let the US Government Spy on Anyone
The article provides a hands-on coding guide to the Dual EC DRBG cryptographic backdoor, showing how the NSA-designed algorithm allowed attackers with secret knowledge to predict random outputs and decrypt secure communications. It explains the math behind the backdoor, demonstrates its practical exploitation in Python, and highlights the real-world risks of insecure random number genera...
Understanding and Coding the KV Cache in LLMs from Scratch
The article explains how KV (Key-Value) caching in large language models (LLMs) speeds up text generation by storing and reusing intermediate computations, significantly improving inference efficiency. It provides a step-by-step, from-scratch code implementation of a KV cache, highlighting both its computational benefits and increased memory requirements during production use.
Avoiding PostgreSQL Pitfalls: The Hidden Cost of Failing Inserts
This article discusses how failing inserts in PostgreSQL, particularly due to unique constraint violations in a Django application, can cause significant performance issues and database overhead. It recommends using ON CONFLICT DO NOTHING in PostgreSQL or Django's bulk_create with ignore_conflicts=True to prevent these problems.
Complete Guide to Build and Deploy an AI Agent with Docker Containers and Python
The video is a comprehensive tutorial on building and deploying an AI agent using Python and Docker containers, covering everything from Docker fundamentals to integrating FastAPI, Postgres, LangChain, and LangGraph for multi-agent systems. It walks viewers through local development, containerization, and deployment to platforms like Railway and DigitalOcean, enabling scalable, productio...
EnrichMCP – A Python ORM for Agents
coleam00 / local-ai-packaged
Run all your local AI together in one package - Ollama, Supabase, n8n, Open WebUI, and more!
Python Hub Weekly Digest for 2025-06-22
Dynamic YAML with Python computed properties for fusing API workflows and SQL
⚙️ Projects
MiniMax-AI
The world's first open-weight, large-scale hybrid-attention reasoning model.
llm-memorization
Give your local LLM a real memory with a lightweight, fully local memory system — just like a human recalling past discussions. 100% offline. 100% under your control.
miniDiffusion
A reimplementation of Stable Diffusion 3.5 in pure PyTorch.
sourcerer
Sourcerer is a CLI-based cloud storage explorer that provides a unified interface for developers and DevOps engineers to view and manage files across multiple cloud providers like GCP Storage, Azure Storage, AWS S3, and S3-compatible services.
zen-mcp-server
The power of Claude Code + [Gemini Pro / Flash / O3 / Grok / OpenRouter / Ollama / Custom Model / All Of The Above] working as one.
openai-agents-python
A lightweight, powerful framework for multi-agent workflows.
Premier
A Flexible, Lightweight API-Gateway written in python that can be used as an ASGI middleware, app, or decorators.
Pixeltable
AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
đź‘ľ Reddits
The GIL is actually going away — Have you tried a no-GIL Python?
Is uvloop still faster than asyncio's event loop in python3.13?
Project by Ruslan Keba. Since 2012. Powered by Python. Made in 🇺🇦Ukraine.