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

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

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 ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

Probabilistic Programming is a way of defining probabilistic models by overloading the operations in standard programming language to have probabilistic meanings. The goal is to specify probabilistic ...

We study machine learning formulations of inductive program synthesis; given input-output examples, we try to synthesize source code that maps inputs to corresponding outputs. Our aims are to develop ...

Abstract: Probabilistic graphical models are a fundamen-tal tool for modeling uncertainty and statistical dependencies in various domains, making them indispensable for decision-making, machine ...

Abstract: A novel method for positioning accuracy analysis based on non-probabilistic time-dependent reliability is proposed for industrial robots with multisource uncertainties. To overcome the ...

GluonTS is a Python toolkit for probabilistic time series modeling, built around MXNet. GluonTS provides utilities for loading and iterating over time series datasets, state of the art models ready to ...