A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

A critical LangChain AI vulnerability exposes millions of apps to theft and code injection, prompting urgent patching and ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

There is a common misconception that AI applications can be sufficiently tested and derisked by running a pilot in a ...

The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...

Overview: The lesser-known Python libraries, such as Rich, Typer, and Polars, solve practical problems like speed, clarity, ...

Developers are leaning more heavily on AI for code generation, but in 2026, the development pipeline and security need to be ...

Offering downloadable sample code, the book is written to help you discover how to use Python in a wide variety of ...

The best new features and fixes in Python 3.14 Released in October 2025, the latest edition of Python makes free-threaded ...

Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — ...