https://github.com/volpatto/quick-ipython-notebooks

Repo of some personal notes about things I face myself on the way out of my Scientific and Python journeys
https://github.com/volpatto/quick-ipython-notebooks

computational-fluid-dynamics computational-science numerical-integration numerical-methods numerical-simulations scientific scientific-computations scientific-computing

Last synced: about 2 months ago
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Repo of some personal notes about things I face myself on the way out of my Scientific and Python journeys

• Host: GitHub
• URL: https://github.com/volpatto/quick-ipython-notebooks
• Owner: volpatto
• License: mit
• Created: 2018-10-10T01:06:48.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-12-26T00:11:55.000Z (over 6 years ago)
• Last Synced: 2025-01-30T16:18:54.977Z (4 months ago)
• Topics: computational-fluid-dynamics, computational-science, numerical-integration, numerical-methods, numerical-simulations, scientific, scientific-computations, scientific-computing
• Language: Jupyter Notebook
• Homepage:
• Size: 300 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 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](https://conda.io/docs/) environments. It's a quite general and good environment manager. And it is cross-platform.