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- calcul_matriciel_2012
- (): """fen01.destroy () """ dim = entr1.get() if is_number(dim) and float(dim) > 0: ... while not image: entree = entr1.get() image = is_number(entree) ... z les valeurs de votre matrice') ni=int(entr1.get()) nj=int(entr1.get()) for i in range (ni): for j in range (nj): entries=E
- openbabel_jmol
- ol) ff.ConjugateGradients(100, 1.0e-5) ff.GetCoordinates(mol) return mol def OBStructureFr... riteFile(mol, "molecules/%s.pdb" % filename) def getAlcohols(): molecules = dict() molecules['... etab = openbabel.OBElementTable() dico = getAlcohols() for elem in dico: OBStructu... File(mol, "molecules/%s.pdb" % file_in) # get the charges of the atoms charge_model = o
- gaz_parfait_2011
- dimension de la fenêtre 3 reponse= ((float(n.get())*8.314*float (T.get()))/float(V.get())) #formule calculant la variable à isoler => float permet le calcul d'un nombre à... fen3.geometry('180x30') reponse= ((float(n.get())*8.314*float(T.get()))/float(P.get())) if r
- representation_molecules_2013
- n valider nom def action(): name=str(NomEntry.get()) if ClipboardCase.get() == 1: AddToClipBoard(SMILES(name)) if NavigateurCase.get() == 1: import webbrowser new=2 ... en(DLink(SMILES(name)), new=new) if ImageCase.get() == 1: Draw2D(name, SMILES(name))
- ph_acides_bases_2013
- mpy import * import matplotlib.pyplot as plt def get_acide(event): """ fonction pour lire la s... tbox1.curselection()[0] seltextacide=listbox1.get(indexacide) listeacide= ['HClO4','HCl', 'HI',... tbox1.curselection()[0] seltextacide=listbox1.get(indexacide) listeacide= ['HClO4','HCl', 'HI',... à chaque cliq listbox1.bind('<ButtonRelease-1>', get_acide) label=tk.Label(root) label.grid(row=2,colu
- conversion_temperature_2011
- valeur qui sera entrée par l’utilisateur (entree.get) et la fonction correspondant au bouton ## ### On... oFah', anchor=SE, command=lambda: CelToFah(entree.get())).pack(side=BOTTOM, anchor=SW) Button(F, text='... oKel', anchor=SW, command=lambda: CelToKel(entree.get())).pack(side=BOTTOM, anchor=SW) Button(F, text='... oFah', anchor=SW, command=lambda: KelToFah(entree.get())).pack(side=BOTTOM, anchor=SW) Button(F, text='
- courbe_predominance_acide_2013
- root2 = Tk() n = float (champn.get ()) # transformation en nombre flottant de la val... f=[] g=[] n = float(champn.get()) C = float(champc.get()) pKa1 = float(champ1.get()) pKa2 = 0 pKa3 = 0 if n > 1:
- tkinter_gui_simple
- pression de la valeur du champ abcdef = champ.get() print(abcdef) root = Tk() w = Label(root, ... () # lecture de la valeur du champ texte_n=champ.get() n = int(texte_n) print(n, factorielle(n)) # éli... 1 return b def action(): texte_n = champ.get() n = int(texte_n) affichefacto.configure... ort tkinter as tk def affiche_choix(): i = v.get() print(i, positions[i-1][0]) root = tk.Tk()
- matplotlib_simple
- ngs.net/pg/python/python-use-scipystatslinregress-get-linear-least-squares-regression-equation|Python - Use scipy.stats.linregress to get the linear least-squares regression equation]] ... ow to Have a Better Understanding of Matplotlib - Getting familiar with one of the original Python data... a series of scripts and notebooks to help people get acclimated to using Python for scientific publica
- rdkit
- /www.rdkit.org/]] * [[http://www.rdkit.org/docs/GettingStartedInPython.html|Getting Started with the RDKit in Python — The RDKit 2020.09.1 documentation]]... * [[https://depth-first.com/articles/2020/08/17/getting-started-rdkit-and-jupyter/|Getting Started with RDKit and Jupyter | Depth-First]] * [[http://d
- dictionaries_adn_arn_protein
- rtir chaque codon en acide aminé cha1 = entr1.get() # "cha1" va nous permettre d'exploiter les donn... 'TGA':'ACU', 'TGG':'ACC', } cha1 = entr1.get() tex2='' for n in range(0,len(cha1),3): ... TGA':'THR-', 'TGG':'THR-', } cha1 = entr1.get() tex2='' for n in range(0,len(cha1),3):
- grille_configurations_melange_binaire_2013
- s dans les différents champs nbLig = int(eLig.get()) nbCol = int(eCol.get()) nb1 = int(e1.get()) #Regénération de la nouvelle grille draw(nbLig, nbCol, nb1) #S
- ph_courbe_titrage_2011
- le bouton "Calcul du pH" try: ca = e0.get() #permet de récupérer les valeur... champs d'entrée par l'utilisateur pka =e1.get() equation_index = myvar.get() #permet de déterminer quel radioboutton est sélectionné
- plot_sinus_cosinus
- _spines.py> ... ax = plt.gca() # gca stands for 'get current axis' ax.spines['right'].set_color('none'... 0-devil_is_in_the_details.py> ... for label in ax.get_xticklabels() + ax.get_yticklabels(): label.set_fontsize(16) label.set_bbox(dict(facecolor='wh
- bokeh_simple
- /data-visualization-with-bokeh-in-python-part-one-getting-started-a11655a467d4|Data Visualization with Bokeh in Python, Part I: Getting Started - Elevate your visualization game]]