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Repo of some personal notes about things I face myself on the way out of my Scientific and Python journeys

License: MIT License

Jupyter Notebook 100.00%
scientific-computing scientific scientific-computations numerical-methods numerical-simulations numerical-integration computational-science computational-fluid-dynamics

quick-ipython-notebooks's Introduction

Quick ipython notebooks

The description below is more like a reminder note to myself.

What is it about?

Repo of some personal notes about things I face myself on the way out my Scientific and Python journeys. Mainly interesting things related to some personal research, others for pure fun. Never related to my job (just saying).

By this time, I provide notebooks in the following subjects:

  • Finite Elements in Python:
    • FEniCS Examples:
      • 1D Poisson Problem
      • 1D Advection-Diffusion scalar problem:
        • Galerkin formulation
        • SUPG
        • GLS
      • 1D Reaction-Diffusion scalar problem:
        • Classical Galerkin approximation
        • GGLS stabilization

Anyone can use it?

Well, if there is something you get yourself interested, go ahead. Probably you could find better stuff around.

Just in case, I appended a MIT license, but don't care about it, just formality.

How to use it?

The notes will be separated in directories. Instructions about how to configure and what packages are required to run within the ipynb are intended to be provided in each dir case.

By the time, I prefer to use Conda environments. It's a quite general and good environment manager. And it is cross-platform.

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