Atomic-scale manipulation has emerged as a defining ability of modern quantum science and materials research and has profoundly shaped the fields of quantum simulation 18,19, computing 20 and ...

This is a collection of exercises that have been collected in the numpy mailing list, on stack overflow and in the numpy documentation. The goal of this collection is to offer a quick reference for ...

While databases offer very efficient ways to store data and query them using query languages, the most flexible way of data processing is writing your own program to manipulate data. In many cases, ...

Numerov’s numerical method is developed in a didactic way by using Python in its Jupyter Notebook version 6.0.3 for three different quantum physical systems: the hydrogen atom, a molecule governed by ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on this powerful machine learning technique used to predict a single numeric value. A regression problem is one ...

Machine learning provides a data-driven approach for creating a digital twin of a system – a digital model used to predict the system behavior. Having an accurate digital twin can drive many ...

Genes encoding ribosomal RNA (rDNA) are organized into a repetitive array in eukaryotic genomes. The copy number of these genes often varies and is responsive to genetics and environment. Here, we ...