Python Hub Weekly Digest for 2025-11-02

This week in Python, the burla project enables running Python functions on 1000 computers in just a second. Pyscripter, an open-source Python IDE, and Blinter, a linter for Windows batch files, were introduced. The future of Python web services looks GIL-free, promising improved memory efficiency and concurrency. Lazy imports in Python 3.15 could significantly speed up applications. Articles highlighted include a comprehensive workshop on SQLAlchemy, an introduction to PyTorch Monarch, and a tutorial on building a computer use AI agent with NVIDIA Nemotron. Interesting projects include typeagent-py, Recursive Language Models, and django-bolt, a Rust-powered API framework for Django. Have a great week and happy coding!

💖 Most Popular

burla
Run any Python function on 1000 computers in 1 second.

Pyscripter – open-source Python IDE written in Delphi

Three times faster with lazy imports
This post tests Python 3.15’s proposed PEP 810 explicit lazy imports, which delay loading modules until first use to cut startup time.? Using the feature on author's CLI tool pypistats, he found it ran 2.92× faster (reducing startup from 104 ms to 36 ms), demonstrating how lazy imports can significantly speed up Python applications with large dependency graphs.

The future of Python web services looks GIL-free
The free-threaded Python variant in 3.14 removes the Global Interpreter Lock (GIL), enabling true parallel multithreading for CPU-bound tasks. While it may have a modest performance cost on single-threaded code, it significantly improves memory efficiency and concurrency in web applications, simplifying deployment and boosting throughput, especially for ASGI and WSGI based services.

Blinter
Blinter is a linter for Windows batch files. It provides comprehensive static analysis to identify syntax errors, security vulnerabilities, performance issues and style problems.

📖 Articles

Python Hub Weekly Digest for 2025-10-26

Modshim – a new alternative to monkey-patching in Python

Brewing with SQLAlchemy
This series is a comprehensive workshop designed to teach SQLAlchemy from fundamental concepts through advanced data modeling and complex query crafting. By the end, it aims to equip learners with practical skills to confidently handle data challenges and build scalable, powerful applications using SQLAlchemy’s ORM and session features.

Introducing PyTorch Monarch
PyTorch Monarch is a distributed programming framework designed to simplify scaling AI workflows by enabling a single-controller model that orchestrates distributed resources like a single machine. It provides actor-based programming with scalable messaging, fault tolerance, and distributed tensor support, allowing seamless development, debugging, and efficient handling of large-scale tr...

DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
DeepAnalyze is the first agentic LLM for autonomous data science, supporting: 🛠 Data preparation, analysis, modeling, visualization, and insight. 🔍 Data research and produce research reports.

I built an 8-bit CPU simulator in Python from scratch

wshobson / agents
Intelligent automation and multi-agent orchestration for Claude Code

Notepad.exe – macOS editor for Swift and Python (now Linux runtime)

Wrapping immutable objects
Graham Dumpleton explores how Python’s wrapt library must correctly handle immutable types when wrapping objects, highlighting hidden issues with in-place operators like += and @= when applied to proxies of immutables. He outlines a refinediaddstrategy for ObjectProxy that preserves expected behaviour in version 2.0.0 of wrapt.

Create Your Own Bash Computer Use Agent with NVIDIA Nemotron in One Hour
A tutorial on building a computer use AI agent capable of executing multi-step tasks in a Bash shell, powered by the NVIDIA Nemotron Large Language Model. It covers creating the agent's brain, the Bash interface for safe command execution, and the agent loop, demonstrating how to build and deploy an autonomous assistant within an hour.

FlashRecord – 2MB Python-native CLI screen recorder

⚙️ Projects

typeagent-py
This is an in-progress project aiming at a Pythonic translation of TypeAgent KnowPro and a few related packages from TypeScript to Python.

Recursive Language Models
Recursive Language Models (RLMs) let language models recursively call themselves within an environment, like a Python REPL, to handle extremely long contexts without performance drop (context rot). They dynamically break down queries into smaller parts, delivering strong, cost-efficient results on big benchmarks and enabling scalable, interpretable reasoning beyond fixed context limits.

hyperflask
Full stack Python web framework to build websites and web apps with as little boilerplate as possible

Dexter
An autonomous agent for deep financial research

uv-lock-report
A GitHub Action to report changes to uv.lock.

caniscrape
Know before you scrape. Analyze any website's anti-bot protections in seconds.

Polar
Open Source payments infrastructure for the 21st century

Katakate
Self-hosted secure VM sandboxes for AI compute at scale.

django-bolt
Rust-powered API framework for Django achieving 60k+ RPS. Uses Actix Web for HTTP, PyO3 for Python bridging, msgspec for serialization. Decorator-based routing with built-in auth and middleware.

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