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- Python Weekly (Issue 697 May 1 2025)
Python Weekly (Issue 697 May 1 2025)
Welcome to issue 697 of Python Weekly. Let's get straight to the links this week.
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Articles, Tutorials and Talks
The video details software upgrades to the Unitree G1 humanoid robot, focusing on LiDAR integration for SLAM, navigation, and control. It showcases the robot's ability to map its surroundings and navigate using keyboard controls
A developer has created PyXL, a custom hardware processor that executes Python code by compiling it into a specialized instruction set, achieving faster GPIO performance than MicroPython despite a lower clock speed. While some debate the claim of "running Python directly," PyXL eliminates traditional interpreters and virtual machines, offering a novel approach to Python execution in hardware.
The article guides readers on building intelligent gaming simulation agents using LangGraph, emphasizing reasoning, memory, and real-time decision-making. It demonstrates how to create production-ready, human-like NPCs by integrating LLMs, agentic RAG, and LLMOps techniques.
This video introduces DAS, a dynamic rewriter designed to optimize Pandas code in exploratory data analysis (EDA) workloads, offering a lightweight, automatic, and effective solution. It achieves this by rewriting suboptimal patterns in Pandas code to faster versions, resulting in significant speedups without requiring code changes.
Brandon Chinn's blog post delves into a perplexing Python bug where using f"{x}" raises a TypeError, while str(x) functions correctly. He uncovers that f-strings internally invoke the __format__
method, which can behave unexpectedly when dealing with proxy objects, such as those introduced by Temporal's sandboxing mechanism.
The article explains how to debug ML deployments 20x faster by locally testing models with MLflow before production and improving observability with real-time monitoring tools. It emphasizes using experiment tracking platforms, data validation, and automated testing to quickly catch and fix issues during deployment.
This course teaches coding Llama 4 step-by-step, covering tokenization, embeddings, self-attention, and sampling techniques. It simplifies PhD-level concepts for beginners using Python and high school math.
The author used Gemini 2.0 Flash and Python to automatically remove deprecated docgen features from 235 GN build files in the Pigweed repo. The hybrid approach combined traditional scripting for file filtering with GenAI for intelligent edits, offering a reusable automation template.
Python decorators look like a great way to add functionality—until they break your type safety, hide function requirements, and turn debugging into a nightmare. This video shows you why decorators can be dangerous, the biggest pitfalls to watch out for, and when you should actually use them.
This course teaches how to track and store high-frequency YouTube video events using Next.js, FastAPI, and TimescaleDB. It demonstrates a scalable, time-series data pipeline ideal for analyzing user video interactions at massive scale.
Zach Bellay's post offers a comprehensive recap of DjangoCon Europe 2025, highlighting key technical insights and tools shared during the conference.
Learn college Calculus from an experienced university mathematics professor. You will also learn how to implement all the Calculus concepts using the Python programming language.
This post provides a comprehensive guide to implementing JWT-based authentication in a Flask API. It covers setting up the Flask environment, creating a to-do list API, managing user sessions with token refresh, and adding role-based permissions.
Interesting Projects, Tools, and Libraries
A fast type checker and IDE for Python by Meta.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Automating Code Generation from Scientific Papers in Machine Learning.
SQLFlow is a high-performance stream processing engine that simplifies building data pipelines by enabling you to define them using just SQL. Think of SQLFLow as a lightweight, modern Flink.
A Python Script to fetch Garmin health data and populate that in a InfluxDB Database, for visualization long term health trends with Grafana.
The Open Source Deep Researcher Tool.
Open Source Platform for AI Engineering.
Tool for generating high quality Synthetic datasets.
New Releases
pip 25.1 introduces support for Dependency Groups (PEP 735), resumable downloads, and an installation progress bar. Dependency resolution has also received a raft of bugfixes and improvements.
Upcoming Events and Webinars
There will be following talks
Python for Audio Analysis
PyAlley - a secure framework for *py Alley board game simulator
Zumbro
There will be following talks
Finetuning Embedding Models Locally: Building an AI Data product without having to ask your IT Department
They level up RAG systems with this one weird trick. VectorDB companies hate them!
There will be following talks
Platforms for valuable AI Products: Iteration, iteration, iteration
Implementing Grounded AI Code Agents
The Glicko-2 Algorithm in the context of Go (Baduk, Weiqi): A Smarter Framework for Competitive Ranking in Zero-Sum Games
Automated Prompt Engineering for Deploying AI Applications at Scale
There will be a talk, Scope out the surprises: hidden pitfalls in Python variable scopes.
There will be following talks
How do you go from not fitting into tech, to using data and AI to drive real impact?
Platforms for valuable AI Products: Iteration, iteration, iteration
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