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News & links about Python programming.
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AI Engineering for Developers

A tour through AI engineering for developers who already know how to ship software. Fourteen chapters, no LinkedIn voice, no slow warm-up. We will go from 'what is a foundation model' to 'how do you run agents in production on Google Cloud' without skipping the parts that matter.

https://www.lucavall.in/blog/ai-engineering-for-developers
How Servers Work: A Hands-On Introduction to TCP Sockets

Learn how servers actually work by building a tiny TCP server and client from scratch. A hands-on introduction to sockets, TCP, and the network programming model every backend, DevOps, and platform engineer should go through at least once.

https://labs.iximiuz.com/tutorials/how-servers-work-tcp-sockets
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Introduction – Rust for Python Programmers

https://microsoft.github.io/RustTraining/python-book/
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A User’s Journey with Plugin Playground: From First Idea to Installable JupyterLab Extension.

Plugin Playground lets developers prototype, test, and iterate on JupyterLab extensions entirely from within JupyterLab, eliminating much of the setup and packaging overhead of traditional extension development. The article follows the journey from a simple idea to a publishable extension, showing how Plugin Playground accelerates experimentation and lowers the barrier to building custom...

https://blog.jupyter.org/a-users-journey-with-plugin-playground-from-first-idea-to-installable-jupyterlab-extension-697021dd6fb9
PyTorch Custom Operation

Using PyTorch custom operations is common in PyTorch models. PyTorch custom operations can be custom classes and custom functions implemented in C++ and CUDA and used in both Python and C++ inference programs. This post shares how to implement PyTorch custom operations in C++ and CUDA, and how to use them in PyTorch models and AOTInductor compiled inference programs, using a simple ident...

https://leimao.github.io/blog/PyTorch-Custom-Operation/
Archaeologist

A codebase intelligence toolkit that finds dead code, analyzes change impact, scores complexity, detects duplication, and generates interactive codebase graphs.

https://github.com/prathik-arun/archaeologist
Agentic RL: Token-In, Token-Out Done Right

Training agentic LLMs with reinforcement learning can silently break when tool-calling workflows re-tokenize model outputs between turns, causing gradients to be applied to sequences the model never actually generated. The article introduces the Token-In, Token-Out (TITO) approach, which avoids re-encoding decoded tokens and preserves training correctness while simplifying multi-turn RL ...

https://qgallouedec-tito.hf.space/
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Web Scraping with Python & JavaScript – MERN Stack Full Course

Learn to build robust web scrapers that can defeat modern anti-bot systems. In this full-stack course, you will transition from basic Python scripting to deploying a full MERN dashboard that scrapes and visualizes real-world data from Amazon, Booking.com, Indeed, and the TIOBE Index.

https://www.youtube.com/watch?v=V1JmI5sUc5E
Pattern Screamer: Subnet Discovery in Networks with Unknown Addressing

This article introduces Pattern Screamer, a reconnaissance tool that uses multi-protocol TTL tracing to discover routers, subnets, and network topology in environments with unknown addressing schemes. By combining heuristic subnet sampling with ICMP, TCP, and UDP probes, it dramatically reduces scan volume while enabling attackers and administrators to map network infrastructure without ...

https://ifritnoises.org/articles/pattern-screamer/