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        <description>Jeu de la vie de Conway
Game of Life with Python


#!/usr/bin/env python 
# -*- coding: utf-8 -*-
&quot;&quot;&quot;A minimal implementation of Conway&#039;s Game of Life.

source : http://www.exolete.com/code/life
modified by par Jérémie Knoops, BA2 chimie UMONS, 2011-2012
cf. http://fr.wikipedia.org/wiki/Jeu_de_la_vie
&amp; http://en.wikipedia.org/wiki/Conway%27s_Game_of_Life
Each cell&#039;s survival depends on the number of occupied nearest and
next-nearest neighbours (calculated in Grid::step). A living cell dies
of ov…</description>
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        <description>Notions fondamentales

Aide mémoire synthétique sur le langage Python.

Règles de base

Ces règles peuvent être testées via le mode interactif de Python (en utilisant la fenêtre “Shell” ou console de l&#039;éditeur Idle ou Idle3 par exemple).</description>
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        <description>Jupyter, IPython Notebooks et JupyterLab

	*  Jupyter a succédé à IPython Notebook
	*  Jupyter est installé par défaut avec la distribution python Anaconda. C&#039;est la manière la plus adéquate d&#039;utiliser Jupyter.
	*  Sinon, on peut utiliser facilement les notebooks Jupyter sur la plateforme</description>
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        <description>Programmation appliquée à la chimie
&lt;https://lukasz.langa.pl/f15a8851-af26-4e94-a4b1-c146c57c9d20/&gt;
Aux dernières nouvelles (14/12/2022) Serhiy Storchaka vit toujours en Ukraine, à 20 km de Konotop !!

Le cours “Programmation appliquée à la chimie” de bachelier en sciences chimiques (15 H cours et 15 H exercices, bloc2) utilise deux supports :</description>
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        <description>Courbe de Prédominance d&#039;un Acide

&lt;sxh python; title : courbe_predominance_acide.py&gt;
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# travail de KH, ba2 chimie 2012-2013

# Courbe de Prédominance d&#039;un Acide #
from math import *
import matplotlib.pyplot as plt
from Tkinter import *</description>
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        <description>Les bases de NumPy

NumPy est une extension du langage de programmation Python, destinée à manipuler des matrices ou tableaux multidimensionnels ainsi que des fonctions mathématiques opérant sur ces tableaux.

Chaque élément d&#039;un tableau numpy occupe un nombre fixe d&#039;octets, associé à un type particulier de donnée (data-type, ou dtype). Les types les plus courants incluent les entiers, bytes, entiers courts, booléens, nombres en virgule flottante, nombres complexes,</description>
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        <description>Vue 3D de l&#039;électronégativité


#!/usr/bin/env python
# -*- coding: utf-8 -*-
&quot;&quot;&quot;
Periodical table
3D view of electronegativity
&quot;&quot;&quot;

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np


data = np.array([
[2.2,1,0.9,0.8,0.8,0.8,0.7],
[0,1.6,1.3,1,1,0.9,0.9],
[0,0,0,1.4,1.2,1.3,0],
[0,0,0,1.5,1.3,1.3,0],
[0,0,0,1.6,1.6,1.5,0],
[0,0,0,1.6,2.2,2.4,0],
[0,0,0,1.6,1.9,1.9,0],
[0,0,0,1.8,2.2,2.2,0],
[0,0,0,1.9,2.3,2.2,0],
[0,0,0,1.8,2.2,2.3,0],
[0,0,0,1.9,1.9,2.5…</description>
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        <title>teaching:progappchim:matplotlib_gallery:potentiel_energy_surface</title>
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        <description>Surface d&#039;énergie potentielle

Historique

Eyring et Polanyi ont publié en 1931 l&#039;article On Simple Gas Reactions dans lequel ils décrivent les trajets des atomes dans la réaction  + H --&gt; H +  (échange d&#039;atomes). Ces travaux aboutiront au développement des notions de $E_{bond}= D_e [\exp(-2\beta(r-r_e))-2\exp(-\beta(r-r_e))]$$E_{ant}= \frac{D_e}{2} [\exp(-2\beta(r-r_e))+2\exp(-\beta(r-r_e))]$$r_e$$D_e$$\beta$$E_{bond}= \frac{Q_{AB}+\alpha_{AB}}{1+S^2_{AB}} = \frac{Q_{AB}+\alpha_{AB}}{1+k}$$E_{a…</description>
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