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- notions_fondamentales
- aracter becomes uppercase) the string s.lower() # all characters become lowercase s.casefold() # more r... uages other than English are covered) s.upper() # all characters become uppercase s.count(sub) # count... ing contains only numbers s.islower() # checks if all alphabets in string s are lowercase s.isupper() # checks if all alphabets in string s are uppercase s.isspace() #
- collection_counter_exemple
- ces des noms d'auteurs d'un article On copie dans all_authors les noms des auteurs http://www.ncbi.nlm.nih.gov/pubmed/26799652 """ import collections all_authors = "Klionsky DJ, Abdelmohsen K, Abe A, Abedin MJ, Abeliovich H,..." authors = all_authors.split(',') # les auteurs sont séparés par
- matplotlib_simple
- in Python]] * [[https://towardsdatascience.com/all-your-matplotlib-questions-answered-420dd95cb4ff|Y... 07/04/2023 * [[https://towardsdatascience.com/all-you-need-to-know-about-seaborn-6678a02f31ff|All you need to know about Seaborn - When should I use Sea
- rdkit
- ict_a_compound_as_an_image from rdkit.Chem import AllChem from rdkit.Chem import Draw smiles = "CN1C=NC2=C1C(=O)N(C(=O)N2C)C" mol = AllChem.MolFromSmiles(smiles) # technically this st... show how to # generate 2D coords with the RDKit: AllChem.Compute2DCoords(mol) Draw.MolToFile(mol,"ca
- representation_molecules_2013
- file_name=name+'.png' from rdkit.Chem import AllChem from rdkit.Chem import Draw mol = AllChem.MolFromSmiles(smiles) AllChem.Compute2DCoords(mol) Draw.MolToFile(mol, file_name, size=(20
- solvents_data_class
- def table(solvent_list): """print a table of all solvent attributes""" title_str = "%-20s %8s... (solvent_list, bp_limit): """print a table of all solvent attributes, with bp restrictions""" t... ake a list of class Solvent instances # also adds all the data/information # data order = name, boiling
- progappchim
- w.whitehouse.gov/blog/2016/01/30/computer-science-all|Computer Science For All]] (President Obama in his 2016 State of the Union Address) ===== Notions de ... * Hollande : [[http://www.cbs.nl/en/]] * Allemagne : [[http://www.destatis.de/e_home.htm]]
- ppoo
- inutes]] * [[https://levelup.gitconnected.com/all-the-basics-of-python-classes-8b07046d2a52|All the basics of Python classes - Everything you need to kn
- presentation_principes
- ition=convex&controls=1&show_progress_bar=1&build_all_lists=1&open_in_new_window=1~~ ====== Programmer
- epidemie_coronavirus
- schland]] représentations de données concernant l'Allemagne * [[https://towardsdatascience.com/covid-
- factorielle-2
- fléchissez à une solution, et pour vérifier votre travail, allez [[factorielle-3|à la page suivante !]]
- factorielle-3
- t"]].</note> Pour des travaux additionnels sur le sujet, allez [[factorielle-4|à la page suivante !]]
- factorielle-4
- n < 0 : raise ValueError("Negative values are not allowed.")</code> Références : * [[https://docs.py
- fizz_buzz
- .txt" with open(fn, 'r') as f: # read all lines using .read lis = f.read().strip().
- grille_configurations_melange_binaire_2013
- #Effacement de la grille précédente c.delete(ALL) #Récupération des informations dans les diff