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- Python Weekly (Issue 731 February 5 2026)
Python Weekly (Issue 731 February 5 2026)
Rahul Chaudhary
February 05, 2026
Welcome to issue 731 of Python Weekly. Let's get straight to the links this week.
 | Code review is stuck. It's slow (manual), noisy (tools), or misses things. Qodo 2.0 is different. With highest precision & recall, it finds critical issues other review tools miss, while limiting noise. Learning from your codebase & PR history, Qodo gives fixes developers actually use. Try free. |
Articles, Tutorials and Talks
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.
The article breaks down the Anthropic take-home interview into simple steps and clear examples, showing how to solve the prompt efficiently while explaining the reasoning behind each choice. It offers practical advice on common pitfalls, scoring criteria, time management, and how to structure your responses to perform well in the assessment.
Multi-Paxos is one of the most influential consensus protocols and is used in several modern distributed databases, including Google Spanner and MySQL Group Replication. This post explores Multi-Paxos from the ground up, explains why it is particularly efficient for database transactions, and examine how real-world systems implement it to achieve strong consistency with high performance.
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.
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 validating a complete self-driving system.
Philip Zucker introduces leancall, a Python library designed to bridge the gap between Lean 4 and Python by allowing Lean functions to be called as native Python functions. He demonstrates its utility through practical examples like balancing a Cartpole in a reinforcement learning environment and building a ray tracer, highlighting Lean's performance benefits while leveraging Python's vast library ecosystem for visualization and testing.
Simon explores how to distribute Go command-line binaries through PyPI by packaging them as Python wheels using the go-to-wheel tool, making them easy to install and run with tools like uvx. Using this pattern, Go binaries can act as dependencies in Python projects and be executed seamlessly after a simple pip install, expanding how Python tooling can leverage compiled Go programs.
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.
Parallelism can speed up your NumPy code… and can still benefit from other optimizations.
Why the simplest agentic pattern is the most dangerous for factual data operations.
Interesting Projects, Tools, and Libraries
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.
AI-assisted code review prompts for Linux kernel and systemd development. Works with Claude Code and other AI tools.
Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork.
Intercept LLM API traffic and visualize token usage in a real-time terminal dashboard. Track costs, debug prompts, and monitor context window usage across your AI development sessions.
Cloud Storage using Instagram.
Format-preserving Python AST manipulation.
A modern debugging and observability tool that orbits your Django application without touching it.
Fast Python project template with Astral's toolchain (uv, ruff, ty) + pytest, MkDocs, Typer, GitHub Actions, Docker
Type-safe dependency injection for Python with auto-wiring, scopes, async factories, and zero deps.
Real-time geometric processing. Easy to use, robust on real-world data.
Query your data in plain English with a fine-tuned Text2SQL model.
A lightweight, browser-based Python notebook editor that runs entirely client-side using WebAssembly (via Pyodide), so it needs no server or installation.
Dataframe viewer for Jupyter over Arrow.
New Releases
The Django project issued security releases (6.0.2, 5.2.11, and 4.2.28) to address multiple vulnerabilities across supported versions, including low- to high-severity issues such as timing attacks, denial-of-service, and SQL injection risks.
Python 3.14.3 and 3.13.12 have been released, delivering important bug fixes and improvements across their respective maintenance branches.
Upcoming Events and Webinars
There will be following talks
How Data (Science) is Transforming Professional Sports
TabPFN - Tabular Foundation Models
There will be following talks
Evals, Benchmarks, and Guardrails: A Pythonista's Guide to Not Mixing Them Up
Orchestration Beyond the Schedule: Real-Time Integrations with Prefect
There will be a talk, Building text-based user interfaces with Textual.
There will be a talk, VacExcHndlrs: pathlib vs os.
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