This library supports calculation of uniform boundaries, confidence sequences, and always-valid p-values. These constructs are useful in sequential A/B testing, best-arm identification, and other ...

PyMC is a probabilistic programming library for Python that provides tools for constructing and fitting Bayesian models. It offers an intuitive, readable syntax that is close to the natural syntax ...

$ git clone git@github.com:alexander-pv/pyiwe.git && cd pyiwe $ pip install . The package file from PyPi or conda does not include terminal TNT. To install it, open python in terminal mode and import ...

The calculation of derivatives is ubiquitous in science and engineering. In thermodynamics, in particular, state properties can be expressed as derivatives of thermodynamic potentials. The manual ...

Atomic neural networks (ANNs) constitute a class of machine learning methods for predicting potential energy surfaces and physicochemical properties of molecules and materials. Despite many successes, ...

Data science in Python often begins with understanding programming basics and using libraries for efficiency. NumPy is a key library in Python, known for its high-performance multi-dimensional arrays ...