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The aim of these notebooks is to propose a pipeline of learning for modelizing a system using python. I recommend to explore notebooks in the following order:

• Explore numpy library. Learn the way numpy stores data, slicing, broadcasting,...
• sympy for symbolic computation
• matplotlib for visualization
• scipy in different notebooks : equation_solving.ipynb, interpolation.ipynb,...
• See application on Partial Different Equations (PDEs).

I use FeniCSx to solve heat diffusion problem, which is the main subject of this git repo