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- calcul_matriciel_2012
- ) return image def affiche (): fen03 = Tk() fen03.title('Choissisez les valeurs de votre matrice') ni=int(entr1.get()) nj=int(... for j in range (nj): entries=Entry(fen03) entries.grid(row=i,column=j) Zones1.append(entries) bou3= Button (fen03, text="calcul du déterminant",command= det) b
- math_nombres
- 90123456790123456790123457... * 1/99² = 0.00010203040506070809101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555... 777879808182838485868788899091929394959697990001020304050607080910111... Quelle est l'explication de ... 000000000040 0.000000000000000000000000000000000000390 0.000000000000000000000000000000000000430 0.000
- plotly_simple
- -next-level-of-data-visualization-in-python-dd6e99039d5e|The Next Level of Data Visualization in Pytho... ibrary-with-animations-hans-rosling-style-f2cb50490396]] * [[https://towardsdatascience.com/plotting... e.com/interactive-dashboards-for-data-science-51aa038279e5|Interactive Dashboards for Data Science]] C... o-use-plotly-as-pandas-plotting-backend-123ff5378003|How to use Plotly as Pandas Plotting Backend - Ma
- epidemie_coronavirus
- ong, Y. et al. Cell Discov 6, 10 (2020) DOI: 10.1038/s41421-020-0148-0 * [[http://gabgoh.github.io/... onavirus 2019 Dataset, Sadrach Pierre, Medium, 06/03/2020 * [[https://towardsdatascience.com/visuali... c 0.1.0 documentation]] [[https://arxiv.org/abs/1503.04066|[1503.04066] Compensating for population sampling in simulations of epidemic spread on temporal
- matplotlib_simple
- r des petits cercles. <code python simple_series_03.py> #! /usr/bin/env python # -*- coding: utf-8 -*... org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1003833|Ten Simple Rules for Better Figures]], Nicolas... lish/line-chart-basics-with-pythons-matplotlib-e52032981bd3|Line Chart Basics with Python’s Matplotlib... ality-figures-in-python-part-i-fig-and-axes-d86c3903ad9b|Making publication-quality figures in Python
- notions_fondamentales
- imple is better than complex]] Yang Zhou, Medium, 03/05/2021 * [[https://towardsdatascience.com/the-... e-ultra-concise-code-with-python-collections-ab79f03bb54|Write Ultra-Concise Code with Python collecti... parameters in 6 examples]] Mike Huls, Medium, 07/03/2023 * [[https://python.plainenglish.io/args-an... Python in Plain English]] Liu Zuo Lin, Medium, 26/03/2023 ===== Modules de fonctions ===== Des fonctio
- tkinter_gui_simple
- utilise pas la fonction "action") <code python tk-03.py> #!/usr/bin/env python # -*- coding: utf-8 -*-... er (checkbuttons) ===== <code python checkbuttons-03.py> #! /usr/bin/env python # -*- coding: utf-8 -*... commons/c/c0/Wikipedia-sipi-image-db-mandrill-4.2.03-quantize-only-CCC.png cf. https://commons.wikimed... rg/wiki/File:Wikipedia-sipi-image-db-mandrill-4.2.03-quantize-only-CCC.png """ import tkinter as tk
- pressions_partielles_systemes_non_ideaux
- ,242,241,233,232,227,225,217,207,180,124,121,110,103,86,73,62,0]) #[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14... ,206,259,272,284,323,328,357,361,381,382,390,394,403,405,419,420,427,428,438,447,465,490,489,491,491,4... 1891,0.3851,0.5945,0.8243,1]) x2 = np.ones(1)-x1 U03 = np.array([80]) U04 = np.array([45]) def graph1... t.show() def graph2(): U3= (np.log(x1)*R*T)+U03 U4= (np.log(x2)*R*T)+U04 plt.figure(2)
- tableau_periodique_2011
- 8,12,"#CCCC66"], ["Holmium","Ho",67,164.9303,8,13,"#CCCC66"], ["Erbium","Er",68,167.25... 6,13,"#9999FF"], ["Bismuth","Bi",83,208.9803,6,14,"#9999FF"], ["Polonium","Po",84,209,... 27,7,2,"#FFCCCC"], ["Thorium","Th",90,232.0381,9,4,"#FF3300"], ["Protactinium","Pa",91,231.0359,9,5,"#FF3300"], ["Uranium","U",92,238.0
- jupyter
- } * {{ :teaching:progappchim:animationembedding-03.ipynb |}} * {{teaching:progappchim:animationembedding-03.ipynb}} ===== Avis, présentations, revues, artic... * {{ :teaching:progappchim:animationembedding-03.ipynb |}} : avec des animations des graphiques ma... pen-source web tool]] Jeffrey M. Perkel, Nature 563, 145-146 (2018) DOI: 10.1038/d41586-018-07196-1
- notions_avancees
- https://gist.github.com/bearfrieze/a746c6f12d8bada03589]] * [[https://medium.com/code-85/a-beginners-guide-to-python-list-comprehensions-7dbb0039f065|A Beginner’s Guide to Python List Comprehens... ty, and performance]] Thomas A Dorfer, Medium, 21/03/2023 * ... ===== Walrus operator ===== FIXME ... les + useful tips]] Valeria Aynbinder, Medium, 17/03/2022 * ... ===== Décorateurs ===== * [[http:/
- pandas
- sis in Python]] * [[http://cmdlinetips.com/2018/03/how-to-make-boxplots-in-python-with-pandas-and-se... me]] Clive Siviour, Towards Data Science, Medium 03/09/2021 * [[https://towardsdatascience.com/effi... Maxime Labonne, Towards Data Science (Medium), 21/03/2022 → l'approche pythonique "list comprehension"... e-data-across-time-to-tell-better-stories-2a2c276e031e|Effectively visualize data across time to tell
- rotateur_biatomique @teaching:progappchim:matplotlib_gallery
- 6933e+00 | | 18 | 37 | 342 | 1.21036009e+00 | | 19 | 39 | 380 | 8.72... | | 29 | 59 | 870 | 9.82856285e-03 | | 30 | 61 | 930 | 5.57687812e-03 | --------------------------------------------------- Somme d'état à T=100 jusqu'au niveau 30 : 1.00327380e+02 </code>
- numpy_simple
- ités supplémentaires : <code python arrays_linalg_03.py> #! /usr/bin/env python # -*- coding: utf-8 -*... ntaires ==== * [[http://www.pybloggers.com/2017/03/how-to-do-descriptives-statistics-in-python-using... S.J. et al., Nature 585, 357–362 (2020) DOI: 10.1038/s41586-020-2649-2 * [[https://medium.com/bette
- potentiel_energy_surface @teaching:progappchim:matplotlib_gallery
- essayés, la valeur minimale de E est environ -1.603 ==== Sorties graphiques ==== === Lignes de contou... Scratch]], Yingbin Ge, J. Chem. Educ., 2016, 93 (12), pp 2033–2039 DOI: 10.1021/acs.jchemed.6b00572