This video explores quantum entanglement, Bell’s inequality, the EPR paradox, nonlocality, and the debate between determinism ...

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 ...

Official support for free-threaded Python, and free-threaded improvements Python’s free-threaded build promises true parallelism for threads in Python programs by removing the Global Interpreter Lock ...

Abstract: A widely accepted way to assess the performance of iterative black-box optimizers is to analyze their empirical cumulative distribution function (ECDF) of predefined quality targets achieved ...

Department of Basic Science, Nippon Veterinary and Life Science University, Tokyo, Japan. According to the uncertainty principle, the motion of the single electron in the 1s orbit of a hydrogen atom ...

The Riemann hypothesis is the most important open question in number theory—if not all of mathematics. It has occupied experts for more than 160 years. And the problem appeared both in mathematician ...

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 ...

Using M1 chip via MacBook Air, so I have to use Docker to avoid compatibility issues. I did a very small set-up via Azure functions v2 - blueprint & function ...