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- matplotlib_simple
- python-part-ii-line-plot-legends-colors-4430a5891706|Making publication-quality figures in python (Par... Lawrence Alaso Krukrubo - DataSeries - Medium, 17/06/2020 * [[https://medium.com/dataseries/masterin... Lawrence Alaso Krukrubo - DataSeries - Medium, 29/06/2020 * [[https://levelup.gitconnected.com/matpl... able-masterpieces-are-created-with-matplotlib-22780667dee|Yes, These Unbelievable Masterpieces Are Cre
- notions_avancees
- tml]] * [[http://code.activestate.com/recipes/580628-pluggable-python-generators/]] * [[http://www... ners-guide-to-python-list-comprehensions-7dbb0039f065|A Beginner’s Guide to Python List Comprehensions... ]] * [[http://www.analyticsvidhya.com/blog/2015/06/regular-expression-python/|Beginners Tutorial for... es.ipynb]] * [[http://jeffknupp.com/blog/2014/06/18/improve-your-python-python-classes-and-object-
- epidemie_coronavirus
- Coronavirus 2019 Dataset, Sadrach Pierre, Medium, 06/03/2020 * [[https://towardsdatascience.com/visu... Little Less Painful!]], Nik Piepenbreier, Medium, 06/04/2020 * Graphiques et évolutions par Nicolas ... .0 documentation]] [[https://arxiv.org/abs/1503.04066|[1503.04066] Compensating for population sampling in simulations of epidemic spread on temporal cont
- fit_modele_einstein
- culé return cvEinstein(x/p[0]) - y kB = 1.3806488E-23 # Constante de Boltzmann NA = 6.02214129E... [215,2.61], [264,4.18], [273,5.2], [280,5.43], [306,6.59], [335,7.81], [363,9.02], [412,11.8], [471,1... calculé return cvDebye(x/p[0]) - y kB = 1.3806488E-23 # Constante de Boltzmann NA = 6.02214129E... [215,2.61], [264,4.18], [273,5.2], [280,5.43], [306,6.59], [335,7.81], [363,9.02], [412,11.8], [471,1
- pylab_simple
- s codes sources</note> <code python fonctions-FT-06.py> #!/usr/bin/env python #-*- coding: utf-8 -*- ... ées de Fourier') plot(w1) xlabel("f/Hz") ylabel("A(f)") savefig('fonctions-FT-06.png') show() </code>
- suite_de_fibonacci-5
- ci05_fonction import fibonacci_item from fibonacci06_fonctions import fibonacci_item_from_list from fi... ci_item_from_list(" + str(i) + ")","from fibonacci06_fonctions import fibonacci_item_from_list") t
- tableau_periodique_2011
- .0107,2,13,"#00FF66"], ["Azote","N",7,14.00674,2,14,"#00FF66"], ["Oxygene","O",8,15.99... 3761,3,14,"#00FF66"], ["Soufre","S",16,32.066,3,15,"#00FF66"], ["Chlore","Cl",17,35.45... 24,5,3,"#FFCCCC"], ["Niobium","Nb",41,92.9063,5,4,"#FFCCCC"], ["Molybdene","Mo",42,95.... 055,5,8,"#FFCCCC"], ["Palladium","Pd",46,106.42,5,9,"#FFCCCC"], ["Argent","Ag",47,107.
- rotateur_biatomique @teaching:progappchim:matplotlib_gallery
- | 2.17386690e+00 | | 17 | 35 | 306 | 1.64106933e+00 | | 18 | 37 | 342 | 1.21036009e+00 | | 19 | 39 | 3... | 4.23670231e-01 | | 22 | 45 | 506 | 2.85550178e-01 | | 23 | 47 | 5
- bioinformatic
- evolution and biochemistry]], Germán Tenorio, 02/06/2014 * documentation sur les arbres phylogénéti
- numpy_simple
- verses !!!**</note> <code python arrays_polynomes_06.py> #! /usr/bin/env python # -*- coding: utf-8 -*
- pandas
- into a NumPy array]] Giorgos Myrianthous, Medium, 06/05/2022 * [[https://towardsdatascience.com/20-o
- plot_sinus_cosinus
- our une représentation de qualité : <code python 06-setting_tick_labels.py> ... plt.xticks([-np.pi, -