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How I Built My Own Wolfram Mathematica-like Engine With Python
As with statsmodels, Matplotlib does have a learning curve. There are two major interfaces, a low-level "axes" method and a ...
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 ...
Abstract: By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs) ...
Great for teaching/learning numerical methods step by step. Good reference for people writing their own solvers in C/Fortran/Julia. Lightweight, no dependencies. Consistent object-oriented API (.solve ...
The Backward Euler and Crank–Nicolson methods are solved using a tridiagonal solver implementing the Thomas algorithm. The first and last rows correspond to the boundary conditions, and the interior ...
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