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- algos_divers (teachi…gappchim)
- algos_entiers (teach…appchim)
- algos_graphes (teach…appchim)
- altair_simple (teach…appchim)
- analyse_images (teach…appchim)
- attracteur_lorenz (tea…pchim)
- bioinformatic (teach…appchim)
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- calcul_matriciel_2012 (t…him)
- chempy (teaching:progappchim)
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- collection_counter_exemple
- collection_namedtuple_exemple
- conversion_temperature_2011
- courbe_predominance_acide_2013
- csv (teaching:progappchim)
- dictionaries_adn_arn_protein
- dictionary_adn_protein
- diffusion_chimique_1d (t…him)
- elements_molecules (tea…pchim)
- ensemble_mandelbrot_2013
- entropie_melange (teac…ppchim)
- epidemie_coronavirus (te…chim)
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- game_of_life_conway-2012
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- grille_configurations_melange_binaire_2013
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- notions_fondamentales (t…him)
- numpy_simple (teachi…gappchim)
- openbabel_jmol (teach…appchim)
- open_chemical_databases
- osm_interrogation (tea…pchim)
- pandas (teaching:progappchim)
- parsing_chemical_formula
- pavage_penrose_2013 (te…chim)
- periodical_table_electronegativity
- ph-3d (teaching:progappchim)
- ph_acides_bases_2013 (te…chim)
- ph_courbe_titrage_2011
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- plot_sinus_cosinus (tea…pchim)
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- polynomes-bonus (teac…ppchim)
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- presentation_principes
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- pubchempy (teachin…ogappchim)
- pygal_simple (teachi…gappchim)
- pylab_simple (teachi…gappchim)
- random_walk_2d-simple (t…him)
- rdkit (teaching:progappchim)
- recherches (teachin…ogappchim)
- regression_lineaire_2013
- representation_molecules_2013
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- solubilite_ph_t (teac…ppchim)
- solvents_data_class (te…chim)
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- suite_de_fibonacci-4 (te…chim)
- suite_de_fibonacci-5 (te…chim)
- t-test (teaching:progappchim)
- tableau_periodique_2011
- tableau_periodique_2013
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- histogramme_simple (tea…llery)
- ir_spectrum_co (teach…gallery)
- pka_pkb_plane (teach…gallery)
- potentiel_energy_surface
- potentiel_morse (teac…allery)
- rotateur_biatomique (te…lery)
Résultats plein texte:
- dictionaries_adn_arn_protein
- :'C', 'ACC':'W', 'ACG':'C', 'ACT':'STOP', 'AAC':'L', 'AAT':'L', 'AAA':'F', 'AAG':'F', 'AGC... CA':'G', 'CCC':'G', 'CCG':'G', 'CCT':'G', 'CAC':'V', 'CAT':'V', 'CAA':'V', 'CAG':'V', 'CGA... CA':'R', 'GCC':'R', 'GCG':'R', 'GCT':'R', 'GAC':'L', 'GAT':'L', 'GAA':'L', 'GAG':'L', 'GGA... TC':'K', 'TTT':'K', 'TTA':'N', 'TTG':'N', 'TAC':'M', 'TAT':'I', 'TAA':'I', 'TAG':'I', 'TGC
- lennard-jones
- l'argon : $V_{LJ} = 4\varepsilon \left[ \left(\frac{\sigma}{r}\right)^{12} - \left(\frac{\sigma}{r}\right)^{6} \right] = \varepsilon \left[ \left(\frac{r_{m}}{r}\right)^{12} - 2\left(\frac{r_{m}}{r}\right)^{6} \right]$ où σ est la distance à laquelle l
- potentiel_energy_surface @teaching:progappchim:matplotlib_gallery
- a(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)... A et B, une approximation est : * $E_{bond}= \frac{Q_{AB}+\alpha_{AB}}{1+S^2_{AB}} = \frac{Q_{AB}+\alpha_{AB}}{1+k}$ * $E_{ant}= \frac{Q_{AB}-\alpha_{AB}}{1-S^2_{AB}} = \frac{Q_{AB}-\alpha_{
- algos_entiers
- de masse (en masses entières) ===== Problème du sac à dos ===== L’énoncé de ce problème extrêmemen... et étant donné un poids maximum pour le sac, quels objets faut-il mettre dans le sac de manière à maximiser la valeur totale sans dépasser le poids maximal autorisé pour le sac ?</blockquote> En voici une illustration (source
- bioinformatic
- "UCC":"S", "UCA":"S", "UCG":"S", "UAU":"Y", "UAC":"Y", "UAA":"STOP", "UAG":"STOP", "UGU":"C", ... "CCC":"P", "CCA":"P", "CCG":"P", "CAU":"H", "CAC":"H", "CAA":"Q", "CAG":"Q", "CGU":"R", "CGC":... "ACC":"T", "ACA":"T", "ACG":"T", "AAU":"N", "AAC":"N", "AAA":"K", "AAG":"K", "AGU":"S", "AGC":... "GCC":"A", "GCA":"A", "GCG":"A", "GAU":"D", "GAC":"D", "GAA":"E", "GAG":"E", "GGU":"G", "GGC":
- dictionary_adn_protein
- CA':'T', 'ACC':'T', 'ACG':'T', 'ACT':'T', 'AAC':'N', 'AAT':'N', 'AAA':'K', 'AAG':'K', 'AGC... CA':'P', 'CCC':'P', 'CCG':'P', 'CCT':'P', 'CAC':'H', 'CAT':'H', 'CAA':'Q', 'CAG':'Q', 'CGA... CA':'A', 'GCC':'A', 'GCG':'A', 'GCT':'A', 'GAC':'D', 'GAT':'D', 'GAA':'E', 'GAG':'E', 'GGA... TC':'F', 'TTT':'F', 'TTA':'L', 'TTG':'L', 'TAC':'Y', 'TAT':'Y', 'TAA':'_', 'TAG':'_', 'TGC
- plot_sinus_cosinus
- s(t), ], 50, color='blue') plt.annotate(r'$cos(\frac{2\pi}{3})=-\frac{1}{2}$', xy=(t, np.cos(t)), xycoords='data', xytext=(-90, -5... in(t), ], 50, color='red') plt.annotate(r'$sin(\frac{2\pi}{3})=\frac{\sqrt{3}}{2}$', xy=(t, np.sin(t)), xycoords='data', xytext=(+
- progappchim
- ions, ...) * Parfois, la [[https://moodle.umons.ac.be/course/view.php?id=107|plateforme moodle d'ens... spécifiques * [[https://www.economicsnetwork.ac.uk/data_sets|Economic Data freely available onlin... ique, chimie analytique,... * [[https://www.ebi.ac.uk/chembl/|ChEMBL]] base de donnée chimique * [... tions scientifiques. * [[https://dvillers.umons.ac.be/wiki/floss:python#applications_en_chimie|ces l
- notions_fondamentales
- 8307273|ici]]) : <code python> strings = ['A', 'bac', 'cali', 'jkppl'] text = ''.join(strings) print(... les encodage [[wp>fr:Windows-1252|cp1252]], applemac et [[wp>fr:Latin1|Latin1]] (ou iso8859-1). Ces en
- chempy
- l' E = 'H2O' F = 'N2' print(A, B, C, D, E, F) reac, prod = balance_stoichiometry({A, B}, {C, D, E, F}) pprint(dict(reac)) pprint(dict(prod)) </code>
- courbe_predominance_acide_2013
- : root1.destroy() #Référence: # http://w3.umons.ac.be/perso/Villers.Didier/wiki/doku.php?id=floss:py... ormatique/python/tutoriels # https://moodle.umons.ac.be/course/view.php?id=107 # http://www.inforef.be
- openbabel_jmol
- crit en Java et donc multi-plateformes (Windows, Mac OS X, Linux,...). C'est un programme idéal pour ... cheminf.com/content/7/1/23/abstract|InChI, the IUPAC International Chemical Identifier]] Stephen R Hel
- pandas
- : names = [ 'Biacromial diameter', 'Biiliac diameter', 'Bitrochanteric diameter', 'Ch... nt(dict_names_fr) file_url = "http://linus.umons.ac.be/body.dat.txt" # file copy #file_url = "http://... .io/add-some-style-to-your-pandas-dataframe-ae3ed4ac7804|Add Some Style to your Pandas DataFrame - Put
- ph-3d
- html Didier Villers, UMONS http://dvillers.umons.ac.be/blog/contact/ """ import numpy as np import nu