This is a python implementation of a power-law distribution fitter. The code here was originally hosted on agpy but was moved and re-packaged to make setup.py cleaner. Aaron Clauset et al. address the ...

This paper addresses the different methods of estimation of the unknown parameters of a two-parameter unit-logistic distribution from the frequentist point of view. We briefly describe different ...

PyApp seems to be taking the Python world by storm, providing long-awaited click-and-run Python distribution. For developers who need a little more versatility, there’s uv. Find these tools and more ...

Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...

Functions are the building blocks of Python programs. They let you write reusable code, reduce duplication, and make projects easier to maintain. In this guide, we’ll walk through all the ways you can ...

Polarimetric Bidirectional Reflectance Distribution Function (pBRDF) modelling is an advanced optical framework that links the intrinsic properties of material surfaces to the polarisation state of ...

Context. The study of star formation is extremely challenging, due to the lack of complete and clean samples of young nearby clusters and star-forming regions. The recent Gaia DR2 catalogue ...

This is a fast negative-binomial distribution for Python and C++, optimised for small repeated integer counts such as those seen in single-cell RNA sequencing data, and including zero inflation.

Abstract: This paper describes a working methodology of implementation of empirical distribution functions used as a powerful tool for a theoretical exploration and a visualization of chaotic dynamic ...