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Python and NumPy concepts that are easy to forget in quantum physics
Discover the Python and NumPy concepts that are easy to forget but essential for quantum physics calculations. This tutorial highlights key functions, array manipulations, and numerical techniques ...
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 ...
The Array API standard makes it possible to write generic code that works with many types of arrays (NumPy, Tensorflow, PyTorch, Dask, JAX, CuPy, MXNet, Xarray, ...). In principle, this would enable a ...
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Python; Numpy Arrays Vs. Lists
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
Imagine you’re tasked with analyzing two datasets—one containing a list of products and another with customer segments. How do you uncover every possible pairing to identify untapped opportunities?
Abstract: A cylindrically periodic stratified media Green’s functions (CPSMGFs) method is proposed to analyze conformal arrays through one array unit. The CPSMGFs are developed on electric dyadic ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Population balance equation (PBE) models have the potential to automate many ...
A young computer scientist and two colleagues show that searches within data structures called hash tables can be much faster than previously deemed possible. Sometime in the fall of 2021, Andrew ...
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