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- Python Weekly (Issue 706 July 10 2025)
Python Weekly (Issue 706 July 10 2025)
Rahul Chaudhary
July 10, 2025
Welcome to issue 706 of Python Weekly. Let's get straight to the links this week.
Not All AI Notetakers Are Secure. Here’s the Checklist to Prove It.
You wouldn’t let an unknown vendor record your executive meetings, so why trust just any AI?
Most AI notetakers offer convenience. Very few offer true security.
This free checklist from Fellow breaks down the key criteria CEOs, IT teams, and privacy-conscious leaders should consider before rolling out AI meeting tools across their org.
Articles, Tutorials and Talks
The video explains why Python projects often devolve into "spaghetti code" and shows how using abstractions such as Callable, Abstract Base Classes (ABC), and Protocol can make codebases more modular, testable, and maintainable. Through a step-by-step refactoring of an image processing example, it highlights how applying the right abstractions early reduces coupling and import complexity, which benefits even small projects.
The post describes how the author models Wordle as a dependency resolution problem, using the Python tool uv to encode Wordle’s feedback and constraints as package dependencies. By representing possible words and letter positions as package versions and leveraging uv’s resolver, the author creates an automated solver that efficiently narrows down solutions based on Wordle guesses and feedback.
Ken Jin reflects on nearly three years building CPython’s experimental JIT compiler, emphasizing strong community support and a teachable tracing JIT design. While some benchmarks showed around 20% speedups, many cases performed worse than the interpreter, highlighting the need for ongoing optimization.
The video demonstrates how to create fast, reliable local Python workflows for production projects using the uv packaging tool, highlighting practical techniques to streamline dependency management, automate tasks, and reduce friction in day-to-day development. It also covers integrating tools like Just, Overmind, and Direnv to further enhance workflow ergonomics and team collaboration.
The article explains how deploying Django projects with Coolify streamlines the process by containerizing the app with Docker, automating builds, and managing environment variables through Coolify’s UI. This approach enables easier, near zero-downtime deployments compared to manual server setups, though users should note some nuances with environment variable availability during build steps.
We'll see what N+1 queries are, why they can be an issue for your application, and how to mitigate them using Django’s best practices.
How local, learnable routers can reduce token overhead, lower costs, and bring structure back to agentic workflows.
The article describes how type annotations and new typing features have transformed Python, making code more robust, maintainable, and easier to understand by enabling static analysis, better tooling, and safer refactoring. Modern additions like data classes, generics, protocols, and TypedDict have improved both developer experience and runtime capabilities, allowing Python to compete more effectively with statically typed languages.
A deep dive into Python’s name resolution, bytecode, and how CPython 3.11 quietly made a popular optimization irrelevant.
The post demonstrates how to build a functional agentic checkout system in around 100 lines of Python using LLMs and the Browser Use library, enabling automated online purchases by navigating, filling forms, and extracting order data. It highlights practical challenges like prompt tuning for determinism, implementing structured outputs with Pydantic, and adding guardrails to ensure safe and reliable automation in e-commerce tasks
Transform standalone Google ADK agents into collaborative A2A components. This guide shows how to unlock multi-agent potential and interoperability.
The article details how OLX scaled its Python-based FastAPI recommendation service to handle tens of thousands of requests per second by optimizing infrastructure and architecture. Key strategies included efficient request handling, robust monitoring, and leveraging cloud resources to ensure reliability and scalability during rapid user and data growth.
Interesting Projects, Tools, and Libraries
The official Python SDK for the xAI API.
Trae Agent is an LLM-based agent for general purpose software engineering tasks.
Make text LLMs listen and speak.
A fast and flexible evolution engine for implementing artificial evolution and genetic programming techniques.
desto lets you run and manage your bash and Python scripts in the background (inside tmux sessions) through a simple web dashboard. Launch scripts, monitor their and your system's status, view live logs, and control sessions—all from your browser.
A modern and performant C++20 read/write parser of Photoshop Files (*.psd and *.psb) with fully fledged Python bindings hosted on PyPi.
A suite of specialized MCP servers that help you get the most out of AWS, wherever you use MCP.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations.
Upcoming Events and Webinars
There will be following talks
Generating natural landscapes for Go Wayback with pysheds and ML
How to create 'sentient' but coherent NPC with AI
Playing Fair?: GenAI, Game Design, and Inclusion
There will be following talks
Tune-Up Your Knowledge: A Beginner's Journey Under the Hood of Search Engines
A Very Brief Overview of Python’s “Lang” AI Tools and Two Low-Code GUI AI Tools: Flowise and n8n
There will be a talk, Machine learning in data assimilation.
Theer will be a talk, AI Agents, LLMs, APIs for Data Security and Integrity.
There will be a talk, Bringing Context to Generative AI: Practical Applications of RAG.
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