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News & links about Python programming.
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How the Self-Driving Tech Stack Works

The article breaks down the core components of an autonomous driving stack, including sensing (cameras, lidar, radar), perception (object detection and tracking), planning (behavior and trajectory), and control (actuation and safety). It explains how these layers interact in real time, the trade-offs between different sensors and algorithms, and practical considerations for building and ...

https://cardog.app/blog/autonomous-driving-stack-technical-guide
PyNote

A lightweight, browser-based Python notebook editor that runs entirely client-side using WebAssembly (via Pyodide), so it needs no server or installation.

https://github.com/bouzidanas/pynote-notebook-editor
nanobot

nanobot is an ultra-lightweight personal AI assistant inspired by Clawdbot. Delivers core agent functionality in just ~4,000 lines of code — 99% smaller than Clawdbot's 430k+ lines.

https://github.com/HKUDS/nanobot
So... Postgres is now basically a search engine? (And it's free)

This video demonstrates how to turn PostgreSQL into a powerful, personalized search engine using the open-source PG text search extension (based on the BM25 algorithm). It provides a technical walkthrough on using Claude Code and UV to build a Python-based system for scraping web content, tracking links, and managing a private knowledge base.

https://www.youtube.com/watch?v=zrokmIR9Ytg
Expanse

Expanse is a modern Python web application framework focused on developer experience that offers features like transparent dependency injection, a SQLAlchemy-powered database component, and conventions to help build scalable web apps quickly.

https://github.com/expanse-framework/expanse
qrt

This project explores data transfer using a screen-to-camera approach. The idea is simple: encode information into a sequence of QR codes, display them as a video on a screen, and then use a camera to capture and decode the video frames to retrieve the original data.

https://github.com/smyrgeorge/qrt
10 Python Features You’re Not Using (But Really Should)

The video highlights lesser-known but powerful Python features that can significantly improve code readability, safety, and performance. Through practical before-and-after examples, it shows experienced Python developers how small language features can meaningfully level up real-world code.

https://www.youtube.com/watch?v=cXl-AUXHHZY
Django: profile memory usage with Memray

The article shows how to profile Python-based Django apps using Memray to find memory leaks and inefficient allocations by capturing allocation snapshots and comparing them over time. It walks through setup, running profiles locally, analyzing results, and using traces to make targeted improvements that reduce memory usage and improve performance.

https://adamj.eu/tech/2026/01/29/django-profile-memray/
Deploying Python Web Applications with Docker

The post is a hands-on guide explaining why the author migrated his Python web applications to Docker containers, highlighting Docker’s consistent isolation and practical benefits for deployment compared to traditional setups like system Python and virtual environments. It walks through what to include in the container (base image, Python, virtual environment, and WSGI server such as gun...

https://chriswarrick.com/blog/2026/02/06/deploying-python-web-applications-with-docker/