Ci-dessous, les différences entre deux révisions de la page.
| Les deux révisions précédentes Révision précédente Prochaine révision | Révision précédente Prochaine révisionLes deux révisions suivantes |
| teaching:methcalchim:start [2021/05/21 16:03] – [References] villersd | teaching:methcalchim:start [2021/10/25 10:37] – [References] villersd |
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| * Active matter simulations ([[https://arxiv.org/pdf/cond-mat/0611743.pdf|Vicsek]], 1995) : | * Active matter simulations ([[https://arxiv.org/pdf/cond-mat/0611743.pdf|Vicsek]], 1995) : |
| * [[https://medium.com/swlh/create-your-own-active-matter-simulation-with-python-76fce4a53b6f|Create Your Own Active Matter Simulation (With Python)]] Philip Mocz, The Startup, Medium 2021 + [[https://github.com/pmocz/activematter-python]] | * [[https://medium.com/swlh/create-your-own-active-matter-simulation-with-python-76fce4a53b6f|Create Your Own Active Matter Simulation (With Python)]] Philip Mocz, The Startup, Medium 2021 + [[https://github.com/pmocz/activematter-python]] |
| | * Fourier transforms : [[https://towardsdatascience.com/fourier-transforms-an-intuitive-visualisation-ba186c7380ee|Fourier Transforms: An Intuitive Visualisation - An intuitive visualization of discrete Fourier transforms applied to simple time-series data]] Diego Unzueta, Towards Data Science, Medium, 17/09/2021 |
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| * [[https://medium.com/swlh/building-linear-regression-in-python-75a429b0d3ba|Building Linear Regression in Python]] | * [[https://medium.com/swlh/building-linear-regression-in-python-75a429b0d3ba|Building Linear Regression in Python]] |
| * [[https://towardsdatascience.com/17-types-of-similarity-and-dissimilarity-measures-used-in-data-science-3eb914d2681|17 types of similarity and dissimilarity measures used in data science]] : explains various methods for computing distances and showing their instances in our daily lives. Additionally, it will introduce you to the pydist2 package. Mahmoud Harmouch, Medium, 14/03/2021 | * [[https://towardsdatascience.com/17-types-of-similarity-and-dissimilarity-measures-used-in-data-science-3eb914d2681|17 types of similarity and dissimilarity measures used in data science]] : explains various methods for computing distances and showing their instances in our daily lives. Additionally, it will introduce you to the pydist2 package. Mahmoud Harmouch, Medium, 14/03/2021 |
| | * [[http://jakevdp.github.io/|Pythonic Perambulations]] de Jake VanderPlas |
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