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- Python Weekly (Issue 770 November 5 2026)
Python Weekly (Issue 770 November 5 2026)
Welcome to issue 770 of Python Weekly. Let's get straight to the links this week.
The AI Work Handbook That Cuts Your Workday in Half
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Articles, Tutorials and Talks
Python's profiling landscape is evolving with the arrival of Tachyon in Python 3.15, alongside established tools like py-spy, Scalene, and Austin. This comparison examines their performance, capabilities, and trade-offs, including native code profiling, asyncio support, and AI-assisted optimization.
Johnny Metz shares how aggressive Redis caching helped a multi-tenant Django API handle 20x traffic growth, using shared object caches, precise invalidation, and long TTLs. The approach achieved a 97% cache hit rate, halved database queries and web CPU usage, and reduced average latency by 40%.
A video tutorial on how Spark grew out of MapReduce and Hadoop, how it spreads a query over many machines with executors, tasks, stages, and shuffles, and why DuckDB and Polars beat it on one laptop. Tutorial uses the data on NYC taxi trips along with DuckDB, Polars, and Spark.
pyinfra brings Ansible-style infrastructure automation to Python, using declarative, idempotent code instead of YAML playbooks. This is a practical walkthrough covers deploying a static website and Flask application across multiple servers, with nginx, Gunicorn, secrets management, and HTTPS.
A step-by-step guide to building a Gemini protocol server in Python, covering TCP sockets, TLS encryption, certificate-based authentication, and asynchronous networking. The project demonstrates how to deploy a lightweight, self-hosted server on a Raspberry Pi without relying on traditional web technologies.
The author revived the MicroPython-based wasp-os for the PineTime smartwatch, modernizing its build system, improving Bluetooth flashing, and increasing available memory. He also ported the OS to mainline MicroPython, contributed three upstream fixes, and became a project maintainer.
Predict NFL Combine 40-yard dash times using Python's scikit-learn, with practical examples of linear regression, feature engineering, and model evaluation. Learn to build pipelines, apply cross-validation, and avoid common mistakes such as data leakage.
This tutorial demonstrates how to build a personalized, real-time voice assistant in Python using the Agora voice engine. It covers integrating services like Google Calendar, Google Sheets, Notion, and email to create a fully functional, automated personal assistant.
Unnecessary syntax in Python isn't always unhelpful. An explicit return None, an else, a keyword argument, or a trailing comma can make your code more readable.
This short article walks you through the main things to keep in mind when migrating your code to Python 3.15.
Interesting Projects, Tools, and Libraries
Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for LLM and agent workflows.
Open-source security for AI coding agents: record, detect and block at the tool boundary, with a verifiable audit trail in the SIEM you already run.
An embeddable, expressive semantic layer for AI agents and humans.
A headless forum for small multi-user servers.
A Python library that automatically generates REST APIs from Django models using a simple @expose() decorator, with built-in CRUD operations, filtering, pagination, and configurable authentication.
Speedrunner speeds up Python, Ruby, PHP, and Node.js CLI applications by keeping runtimes preloaded in background processes and forking them on demand, reducing startup times by 3x to 10x in many benchmarks.
Colloq provides a self-hosted classroom environment for teaching Python, data science, and machine learning through collaborative notebooks, browser-based student access, instructor controls, and AI assistance.
New Releases
Django 6.1.3, 6.0.10, and 5.2.19 have been released to fix six security vulnerabilities, including server-side request forgery, potential data exposure, and memory exhaustion. Users are urged to upgrade promptly, with full protection against one GIS-related vulnerability requiring GDAL 3.9 or later.
Upcoming Events and Webinars
There will be a talk, OpenDroneMap: A Community-focused Solution to Making Drone Data Usable.
There will be a talk, What's New in Python 3.15.
There will be a talk, How AI Systems Leak the Data They're Built On.
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