These are my go-to libraries for Python data crunching.

In this paper, a solver is developed to obtain accurate analytical solutions for fractional partial differential equations based on artificial neural networks. By leveraging the powerful function ...

Scientific computing increasingly requires both accurate simulations of physical systems as well as optimizing them over many parameters for tasks such as inverse ...

At the very beginning of the first volume, Apostol writes: "Calculus is more than a technical tool — it is a collection of fascinating and exciting ideas that have interested thinking men for ...

Our article offers an answer to a foundational question in psychology and neuroscience: how do people learn from rewards and punishments? Specifically, we introduce a computational model of human ...

All accuracies above are given using a beam search of size 10. Note that these datasets and models slightly differ from the ones used in the paper. data.prefix and data.infix are two parallel files ...

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 ...