loopinfo: let your for loop know if it is on the first or last item

Python loops do not know where they are. loopinfo adds loop.first, loop.last, loop.index, loop.count, previous, next and more.

https://pypi.org/project/loopinfo/

Quicksand

Quicksand is an async Python API for launching, controlling, snapshotting, and rolling back QEMU virtual machines to provide isolated sandboxes for AI agents without requiring Docker or root privileges.

https://github.com/microsoft/quicksand

Python vs Go: A Practical Comparison for Developers

Python offers a huge ecosystem, especially for AI, data, and scripting, while Go trades some flexibility for faster execution, simpler deployment, and built-in concurrency. This post compares where each language fits best today, including performance, typing, tooling, developer adoption, and why many teams end up using both rather than choosing one outright.

https://blog.jetbrains.com/go/2026/10/13/python-vs-go/

BOOTH

A lightweight, zero-dependency Python checkpoint layer for structured LLM output reliability.

https://github.com/Vedantgitbot/booth

Python 3.15's best new features

Trey Hunner's opinion on which Python 3.15 features will be most exciting for the average Python user.

https://www.pythonmorsels.com/python315/

How I Found a $90,000 Remote Code Execution Vulnerability in Google

A leaked Flask session signing secret let an attacker forge session cookies containing malicious pickled data, turning OAuth state handling into unauthenticated remote code execution on several Google developer sites. The writeup shows how combiningpicklewith client-controlled session data can turn a secret leak into code execution, and why untrusted data should never cross a pickle dese...

https://simonkoeck.com/writeups/google-devsite-flask-session-pickle-rce

Bridging between Scala & Python with GraalVM

This talk explores using GraalVM to enable seamless interoperability between Scala 3 and Python 3 code, focusing on generating idiomatic Scala facades for Python libraries. It details strategies for handling dynamic Python concepts, such as type hints, structural typing, and decorators, within the static and nominal type system of Scala.

https://www.youtube.com/watch?v=EnEVtmbr-uM

retro-kit

Headless-Ghidra toolkit for reverse engineering 32-bit DOS and Win32 games (1993-2010): own LE/LX loader, Watcom calling conventions, library signatures, MCP server

https://github.com/nemo22/retrokit

How to Build a Decision Model Like Jev

Learn how to build AI decision models that return calibrated probabilities for classification, scoring, and routing tasks without generating text, using Hugging Face Transformers and the /v1/systemone API. The guide covers custom option tokens, model fine-tuning, probability calibration, and tree batching to improve accuracy, reduce latency, and lower inference costs.

https://www.fratepietro.com/2026/how-to-build-a-decision-model-like-jev/

DeepInfer

DeepInfer is the high-performance inference framework that powers DeepSeek's large-scale production services.

https://github.com/deepseek-ai/DeepInfer

How to improve technical SEO on a Django website

Learn how to improve technical SEO in Django applications by implementing canonical URLs, XML sitemaps, robots.txt, structured data, and proper redirects. The guide includes practical Django code examples for controlling search engine indexing, preventing duplicate content, optimizing page performance, and monitoring results with Google Search Console.

https://codewithstein.com/improve-technical-seo-django/

vlmhub

A lightweight, config-driven framework for unified vision-language model inference across local and cloud backends, built on LiteLLM and Transformers.

https://github.com/dbiswas55/vlmhub

Popular Python Features You Probably Shouldn’t Use

Explore seven powerful Python features, including properties, dataclasses, caching, decorators, async, pattern matching, and slots, that can make code harder to understand and maintain when misused. Learn the trade-offs of each feature and when using it improves code clarity, design, and maintainability.

https://www.youtube.com/watch?v=RHCyTWaRZSk

Django: check version support with norwegianblue

Adam Johnson demonstrates how to use norwegianblue, a command-line tool powered by endoflife.date, to check release cycles and support deadlines for Django, Python, PostgreSQL, and other software. The tool displays version compatibility, end-of-life dates, and upcoming support deadlines in a color-coded table, helping developers identify unsupported versions and plan upgrades.

https://adamj.eu/tech/2026/10/16/django-norwegianblue/

Python's binary wheels and supply chain attacks

Artem Golubin highlights a supply chain security risk in Python's packaging ecosystem: binary wheels uploaded to PyPI can contain malicious code that differs from their accompanying source distributions. Since most security scanners focus on source code rather than compiled binaries, attackers could hide malware in prebuilt wheels that pip installs by default.

https://rushter.com/blog/python-binary-wheels/

Write Python, Run native, All in Python.

PCC compiles Python and C source into native programs. This compiler and runtime aims to preserve Python's syntax and behavior without libpython, with self-hosting。

https://github.com/allstoalls/pcc

apache iceberg beneath the surface

A video tutorial on how Apache Iceberg's manifests, snapshots, and catalog turn a folder of Parquet files into a table with ACID transactions, hidden partitioning, time travel, and schema evolution. Tutorial uses the data on NYC taxi trips along with PyIceberg, Polars, and DuckDB.

https://www.youtube.com/watch?v=9Fz5noobWcE

Build an AI That Turns Your Voice Into Images, Video and Audio (Python)

This video demonstrates how to build a Python AI agent that automates the entire video creation pipeline, including speech-to-text, scriptwriting, image generation, voice synthesis, and video rendering. By using OpenRouter as a unified API, the project shows how to integrate multiple AI models efficiently while tracking individual operation costs.

https://www.youtube.com/watch?v=aypkvuGFq5Y