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Résultats plein texte:
- pka_pkb_plane @teaching:progappchim:matplotlib_gallery
- tupl) pKasa = np.linspace(-20, -2, 19, endpoint=True) # strong acid pKa = np.linspace(-2, 13, 16, endpoint=True) pKasb = np.linspace(13, 34, 22, endpoint=True) # strong base pKbsa = 14 - pKasa pKb = 14 - pKa pKbsb ... 5.0) plt.xticks(np.linspace(-20, 30, 6, endpoint=True)) plt.ylim(-25.0, 35.0) plt.yticks(np.linspace(-2
- plot_sinus_cosinus
- py X = np.linspace(-np.pi, np.pi, 256, endpoint=True) C, S = np.cos(X), np.sin(X) plt.plot(X, C) plt.... 1) X = np.linspace(-np.pi, np.pi, 256, endpoint=True) C, S = np.cos(X), np.sin(X) # Plot cosine with ... ticks plt.xticks(np.linspace(-4, 4, 9, endpoint=True)) # Set y limits plt.ylim(-1.0, 1.0) # Set y ticks plt.yticks(np.linspace(-1, 1, 5, endpoint=True)) # Save figure using 72 dots per inch # savefig
- presentation_principes
- ique : le type booléen ! ==== <code> >>> 12 < 16 True >>> 12 < 11 False >>> 12 == 12, 12 == 13 (True, False) >>> 12 < 16 or 12 < 11 True >>> 12 < 16 and 12 < 11 False >>> type(12 < 11) <class 'bool'> </c... b="bonjour" >>> c=’Bonjour’ >>> print(a==b,a==c) True False >>> d="pâté123#" >>> print d pâté123# >>> é
- dictionaries_adn_arn_protein
- 1" if gencode1.has_key(cha1[n:n+3]) == True: # utilisation du dictionnaire gencode1, pour cha... ): if gencode2.has_key(cha1[n:n+3]) == True: tex2 += gencode2[cha1[n:n+3]] ... ): if gencode3.has_key(cha1[n:n+3]) == True: tex2 += gencode3[cha1[n:n+3]]
- notions_fondamentales
- estées, dont la valeur est évaluée comme "vrai" (true) ou "faux" (false). Exemple : <code python> a = ... k.lower().replace(' ', '')[::-1]: return True else: return False def remove_accent... ce dans une liste (toute la liste doit être parcourue) : <code python; > li = [4, 8, 9, 1, 6, 8, 4] #
- math_nombres
- precision library n = 41 mp.dps = n #mp.pretty = True print('standard float value : ', 1/0.81) print('... n = 51 mp.dps = n #mp.pretty = True print('standard float value : ', 1/0.9801) print
- multilateration
- ect/shapely/]] * [[wp>Trilateration]] * [[wp>True-range_multilateration|True-range multilateration]] * [[https://math.stackexchange.com/questions/2329
- representation_molecules_2013
- se elif c == '<': intag[0] = True return False return True return ''.join(c for c in s if chk(c)) def find_
- ir_spectrum_co @teaching:progappchim:matplotlib_gallery
- plt.xticks(np.linspace(2250., 2050., 5, endpoint=True)) plt.yticks(np.linspace(0., 0.3, 7, endpoint=True)) plt.xlabel(u"Nombre d'ondes ($cm^{-1}$)") plt.y
- algos_entiers
- n % x == 0: return False return True def primelist(n): return [a for a in range(2
- calcul_matriciel_2012
- ber(s): try: float(s) return True except ValueError: return False def
- dictionary_adn_protein
- if gencode.has_key(sequence[n:n+3]) == True: # check that key exists in dictionary
- ensemble_mandelbrot_2013
- 2: return False else: return True root = Tk() w = Canvas(root, width=600, height=6