Prompt injection test lab: build a 12-step Python harness that scores Claude, GPT, Gemini, Mistral and DeepSeek on 14 OWASP ...

Build a Python tracker for the Nintendo Switch 2 games list: scrape, dedupe, alert on new releases, and export a shareable list in 12 steps.

You need to deploy the voice-based agent and its hosted conversation engine. Deploy both agents with the Azure Developer CLI. The sample declares both agents, so you don't create the voice-based agent ...

Every engineer who's shipped an LLM agent past the demo stage hits the same wall. Fifty lines of Python, an API key, a system prompt, and two tools is enough to build something that looks autonomous ...

Throughout this article, we'll work with a simple shipment-tracking example. Here's a starting implementation without dataclasses: class Shipment: def __init__(self, tracking_id, origin, destination, ...

Every Python codebase has this problem. A function that starts small. Two branches, maybe three. Then someone adds a case, someone else adds another, and a year later you've got 200 lines of ...

If you’ve ever debugged your own C++ containers, strings, or hash tables on Linux or macOS, you know the deal: to see anything useful in the debugger, you have to write a custom data formatter. And ...

Imagine you've trained 47 model variants over three weeks. Somewhere in that pile is your best model, but you can't remember which learning rate you used for run 31. The CSV you exported got ...

Python dataclasses work behind the scenes to make your Python classes less verbose and more powerful all at once. Here's an introduction to using dataclasses in Python. Everything in Python is an ...

普通、pythonなどのプログラミング言語で画面に普通に表示できるのは2Dまでです。しかし、投影の手法を使うと3Dの立体も無理やり描画することができます。今回はpythonで3Dの「動く立方体 ...

In Python, the __new__ method creates and returns a new object of a class, while the __init__ method initializes the attributes of a newly created object of a class. Learn more about what each does ...

Retrieval-augmented generation (RAG) has become a popular approach for building LLM-based applications that require accurate, context-aware responses by grounding the model in relevant external data.