diff --git a/chunks/q/py-list-append.md b/chunks/q/py-list-append.md new file mode 100644 index 0000000..e0eaaa2 --- /dev/null +++ b/chunks/q/py-list-append.md @@ -0,0 +1,14 @@ +## {q} +- 2017031440 +```python +l = [1, 10] +l.append(4) +l.append(5) +print(l[2]) +{bigger} +``` +- Qu'affiche le code ci dessus ? + 1. `4` + 1. `10` + 1. `5` + 1. autre diff --git a/chunks/q/py-list-list.md b/chunks/q/py-list-list.md new file mode 100644 index 0000000..e8b4cab --- /dev/null +++ b/chunks/q/py-list-list.md @@ -0,0 +1,16 @@ +## {q} +- 2017031443 +```python +l = [] + +l.append([11, 12, 13]) +l.append([71, 72, 73]) + +print(l[0][1]) +{bigger} +``` +- Qu'affiche le code ci dessus ? + 1. `12` + 1. `71` + 1. `[]` + 1. autre diff --git a/chunks/q/py-list-list2.md b/chunks/q/py-list-list2.md new file mode 100644 index 0000000..3e62b9d --- /dev/null +++ b/chunks/q/py-list-list2.md @@ -0,0 +1,19 @@ +## {q} +- 2017031451 +```python +def ajout(l, v): + l.append([v]) + +l = [] +ajout(l, 10) +ajout(l, 20) +ajout(l, 30) + +print(l[1]) +{bigger} +``` +- Qu'affiche le code ci dessus ? + 1. autre // [20] + 1. `10` + 1. `20` + 1. `30` diff --git a/chunks/q/you-difficulte.md b/chunks/q/you-difficulte.md new file mode 100644 index 0000000..31b2bab --- /dev/null +++ b/chunks/q/you-difficulte.md @@ -0,0 +1,8 @@ + +## {q} +- 2017031327 +- Votre retour sur la difficulté du cours : + 1. plutôt la bonne difficulté + 1. trop facile + 1. trop difficile + 1. autre diff --git a/chunks/q/you-group.md b/chunks/q/you-group.md new file mode 100644 index 0000000..20d2c2b --- /dev/null +++ b/chunks/q/you-group.md @@ -0,0 +1,8 @@ + +## {q} +- 2017031323 +- MIPC ? Quel est votre filière : + 1. M + 1. I + 1. P + 1. C diff --git a/cours-07.html b/cours-07.html new file mode 100644 index 0000000..1f5de85 --- /dev/null +++ b/cours-07.html @@ -0,0 +1,765 @@ + + + + + + + Outils Informatiques : fonctions, autres + + + + + + + + + + + + + + + + + +
+ +
Please wait, while our marmots are preparing the hot chocolate…
+ +
+ +# @chunk: chunks/title.md + +# Questions ?
Commentaires ? {no-print} + +# @chunk: chunks/objectives.md + +## Programmation Impérative {var-cours-n} : Plan {#plan overview} +- Rappels {rappels} +- Rappels sur les fonctions {rappelsfunc} +- Pile d'Appels de Fonctions {pile} +- Autres {others} + - Re: Fonctions Comme Outils d'Abstraction [☀](#reabstract) {reabstract} + - Écriture de tests [☀](#testu) {testu} + - Conception d'algorithmes [☀](#algo) {algo} + - Autres Éléments en Python [☀](#more) {more} + - Correction TP « pi » + - Chargement de données et tracé de courbes [☀](#dataanalysis) {dataanalysis} + - Plus de qtido / simulations [☀](#exqtido) {exqtido} + - Snake [☀](#snake) {snake} + - Autre ? + +# @copy:#plan + + + + + +# @copy:#plan: %+class:inred: .rappels + +# @chunk: chunks/q/py-list-append.md +# @chunk: chunks/q/py-list-list.md +# @chunk: chunks/q/py-list-list2.md + +# @chunk: chunks/q/you-difficulte.md +# @chunk: chunks/q/you-group.md + + + + + + +# @copy:#plan: %+class:inred: .rappelsfunc + + +## Appel de Fonction et Valeur de Retour {libyli} +```python +def puissance(a, b): + print("notons que a vaut", a) + return a**b + +v = puissance(2*21, 4) +v2 = puissance(v, 2) +print(v, v2) +{} +``` +- À chaque fois qu'une fonction est appelée
(ex, `puissance(2*21, 4)`) {libyli} + - les valeurs de paramètres sont calculées (ex, 42 et 4) + - ... et affectées à des variables (ex, a=42 et b=4) + - le corps de la fonction est exécuté (le print, puis le return) + - ... jusque la fin ou jusque `return` + - la valeur de l'appel est la valeur retournée
(ex, `puissance(2*21, 4)` vaut `3111696`) +- `return` renvoie la valeur et **interrompt** la fonction +- si la fin arrive sans `return`, la fonction renvoie `None` + + + +## Définition et appel de fonction + +
+```python +def norme(x, y): + d = x**2 + y**2 + return d ** 0.5 + +# Appel 1 +print(norme(3, 4)) + + + + + + +# Appel 2 +print(norme(40, 30)) + + + +  +{a} +``` +
+ +
+```python +# Juste se rappeler +# ... que norme existe + + +a1_x = 3 +a1_y = 4 +a1_d = a1_x**2 + a1_y**2 +a1 = a1_d ** 0.5 + +print(a1) + + +a2_x = 40 +a2_y = 30 +a2_d = a2_x**2 + a2_y**2 +a2 = a2_d ** 0.5 + +print(a2) +{b} +``` +
+ +- @anim: .a>span:nth-of-type(1), .a>span:nth-of-type(2), .a>span:nth-of-type(3) +- @anim: .b>span:nth-of-type(1), .b>span:nth-of-type(2) +- @anim: .b>span:nth-of-type(5), .b>span:nth-of-type(6) | .b>span:nth-of-type(7) | .b>span:nth-of-type(8) +- @anim: .b>span:nth-of-type(10) +- @anim: .b>span:nth-of-type(13), .b>span:nth-of-type(14), .b>span:nth-of-type(15), .b>span:nth-of-type(16) +- @anim: .b>span:nth-of-type(18) +- NB {slide} + - chaque appel a ses propres paramètres (x et y) + - chaque appel a ses propres variables locales (d) + - `return` donne la valeur par laquelle sera remplacée l’appel + + +## Technique de la fonction « principale » {libyli} +- But : n'avoir aucune variable globale + - pas de risque de partager des variables sans le savoir + - moins de risque d'erreur + - programme plus sûr +- Technique {libyli} + - définir une fonction « principale » + - (dont le nom est au choix mais est souvent `principale` ou `main`) + - se limiter dans son fichier python à + - des définitions de fonctions + - un appel à la fonction « principale » +```python +def puissance(a, b): + print("notons que a vaut", a) + return a**b + +def principale(): + v = puissance(2*21, 4) + v2 = puissance(v, 2) + print(v, v2) + +principale() +{slide} +``` + + +# @copy:#plan: %+class:inred: .pile + +## Pile d'Appels de Fonctions +- Qu'affiche ce programme ? // en débat ? +```python +x=42 +def mystere(x, p): + print(x) + if x <= 1: + res = 1 + else: + res = x * mystere(x-1, p+1) + print(p*" ", res) + return res + +x = mystere(4, 0) +print(x) +{} +``` +- Pile d'appels {slide} + - chaque appel de fonction a ses propres variables + - copie des valeurs passées en argument + - stockage dans une pile en cas d'appels récursifs + + + + + + + +# @copy:#plan: %+class:inred: .others + + + + +# @copy:#plan: %+class:inred: .reabstract +# Fonction comme outils d'abstraction {#reabstract no-print} +# @chunk: cours-07-code/planete-slides.md + + + + +# @copy:#plan: %+class:inred: .testu + +## Mon Programme est-il Correct ? {#testu libyli} +- Comment savoir si un programme est correct ? {libyli} // selon vous ? + - le prouver formellement // très difficile + - essayer toutes les entrées possibles // par exemple avec INPUT(),, combien y-en-a-t-il selon vous ? + - s'en convaincre en essayant une partie des entrées possibles // comment ?      NB: faux, simple, contre exemple +- Écriture de tests + - but : essayer des entrées automatiquement // fainéantise + - écriture d'un programme qui essaie/teste notre programme +- Instruction `assert` + - `assert «cond»` + - `assert «cond», «expr»` + - Sémantique{slide} + - assertion : proposition qu'on avance et qu'on donne comme vraie + - lève une exception (génère une erreur) si la condition est fausse + - second paramètre possible : une description de l'assertion +```python +assert 12 == 2*6 # ne fait rien +assert 12 == 2*6, "produit ok" # ne fait rien +assert 12 == 3*3, "hum..." # erreur et "AssertionError: hum..." +print("Tout Ok") # jamais exécuté de part l'erreur +{slide} +``` + +## Écriture de Tests avec des Assertions {libyli} +- Exemple {dense} +```python +def distanceOrigine(x, y): + return (x*x + y*y) ** 0.5 + +assert distanceOrigine(0, 0) == 0 +assert distanceOrigine(1, 0) == 1 +assert distanceOrigine(-1,0) == 1 +assert distanceOrigine(0, 1) == 1 +assert distanceOrigine(1, 1) == 2**0.5 +assert distanceOrigine(3, 4) == 5 +{slide dense} +``` +- Challenge : remplir la fonction mystère // forme de spec return a GE min(b) and a LE max(b) +```python +def mystere(a, b): + ... +assert not mystere(0, [1, 5]) +assert not mystere(0, [1, 2, 5]) +assert mystere(5, [5]) +assert mystere(5, [2, 5]) +assert mystere(5, [2, 10]) +assert mystere(5, [100, 5]) +assert mystere(99, [100, 5]) +assert mystere(99, [1, 100, 5, 1]) +assert not mystere(4, [100, 5]) +assert not mystere(101, [100, 5]) +assert not mystere(101, [100, 5, 42]) +{slide dense} +``` + +# Quizz ! {no-print} +# @chunk: chunks/q/py-assert-1.md +# @chunk: chunks/q/py-assert-2.md +# @chunk: chunks/q/py-assert-3.md +# @chunk: chunks/q/py-assert-4.md +# @chunk: chunks/q/py-assert-5.md + + + + +# @copy:#plan: %+class:inred: .algo + +## Challenges {libyli #algo} +- Écrivez une fonction `plusPetit(l)` qui + - prends une liste `l` de nombres + - retourne la plus petite valeur de la liste `l` + - n'utilise pas les fonctions `min()` ou `sort()` prédéfinies +- Écrivez une fonction `indicePlusPetit(l)` qui + - prends une liste `l` de nombres + - retourne l'indice de la plus petite valeur de la liste `l` // au choix si plusieurs + - (indice = position dans la liste) +- Et les deux ? // juste une solution pour les prints +```python +def valeurEtIndicePlusPetit(l): + meilleur = 0 + for i in range(len(l)): + if l[i] < l[meilleur]: + meilleur = i + return (meilleur, l[meilleur]) +{slide} +``` + +## Les Algorithmes sont Partout {libyli} +- Exemples d'algorithmes ? // selon vous +- Qu'est-ce qu'un algorithme ? // selon vous + - une façon systématique de procéder pour faire quelque chose + - une description d'une suite d'action à effectuer +- Exemples {libyli} + - instructions pour se rendre à une adresse donnée (ou GPS) + - méthode pour trouver les racines d'un polynôme de degré 2 + - succession d'étapes pour produire un tel médicament // soit la molécule, soit le produit fini + - procédure pour s'inscrire à l'université + - procédure pour chercher un mot dans le dictionnaire // ça se fait encore ? + - algorithme d'Euclide : recherche du pgcd de deux nombres
(pgcd : plus grand commun diviseur) + - n'importe quelle recette de cuisine + - comment gagner au morpion + +## Algorithme d'Écriture d'Algorithme {libyli} +- But 1 : résoudre le problème ci dessous +- But 2 : **introspection** + - réfléchissez/étudiez ce que vous faites + - quelles étapes suivez vous pour résoudre le problème ? +- Problème :
Écrivez une fonction `somme(l)` qui + - retourne la somme des valeurs de la liste `l` + - n'utilise pas la fonction `sum()` prédéfinie + +## Étapes pour l'Écriture d'un Programme {libyli} +- Objectif pour vous : le programme (ou la fonction) {first} + - le programme n'est qu'une traduction de l'algorithme + - dans un langage que l'ordinateur comprend + - ⇒ sous objectif : écrire l'algorithme + - @anim: -.first | %attr:.first:height:0 + +- Conception d'un algorithme {libyli} + - décrire la tâche (sur papier) + - entrées reçues + - sortie voulue + - lister un/des exemples (sur papier) + - valeurs d'entrées, valeur de sortie attendue + - avoir des exemples variés : du plus simple au plus compliqué + - pour chaque exemple (sur papier) + - décrire les actions successives permettant d'arriver à la sortie attendue + - actions : lecture de valeurs, affectations (écriture) + - actions : opérateurs simples + - généraliser, rendre plus générique + - utiliser des variables/symboles + - faire apparaître des répétitions (boucles) et conditions + - exécuter à la main l'algorithme pour vérifier que ça fonctionne + - écrire le programme et le valider (par des tests) + + + +## Mise en Pratique {libyli} +- Notes sur la conception d'algorithmes + - on va se tromper + - nos tests et exemples vont nous le montrer + - on va étudier les cas où ça ne fonctionne pas + - on va faire plusieurs itérations jusqu'à trouver une solution +- Exo : Soustraire 42 à tous les éléments d'une liste +- Exo : Compter les occurrences d'un élément dans une liste (ex: le nombre de "poum") +- Exo : Remplacer toutes les occurrences d'un élément donné par un autre (ex: transformer les "poum" en "tchak") +- Exo : Inverser une liste, retourner une nouvelle liste avec le résultat +- Exo : Calculer la factorielle d'un nombre ($n!$) + + + + + + +# @copy:#plan: %+class:inred: .more + +## Autres Éléments en Python {#more} +- Paramètres d'un programme +- Bonnes Pratiques +- Valeurs de Paramètres par Défaut +- Paramètres Nommés +- Compréhension de Listes +- Dictionnaires +- Tuples, n-uplets +- Gestion d'Erreur + +## Paramètres d'un Programme {libyli} +- But : l'utilisateur donne des paramètres au programme +- `python3 monprog.py poum tchak 5` {libyli} + - importation du « module » `sys` + - `sys.argv[0]` contient le nom du fichier .py + - `sys.argv[1]` contient le premier paramètre + - `sys.argv[2]` contient le second paramètre + - ... + - `len(sys.argv)` ⇒ nombre d'éléments dans `sys.argv` + - chaque paramètre est une chaîne de caractères +```python +import sys + +print("Le fichier python :", sys.argv[0]) +# => Le fichier python monprog.py +print(len(sys.argv)) +# vaut 4 ici (le nom du fichier + 3 paramètres) + +texte = sys.argv[1] + "-" + sys.argv[2] + " " +nb = int(sys.argv[3]) # conversion vers un entier +print(nb * texte) +{slide} +``` + +## Bonnes Pratiques {libyli} +- Toujours {libyli} + - bien nommer les variables + - tester vos fonctions avec différentes entrées + - tester vos programmes avec différentes entrées + - ajouter des variables intermédiaires + - éviter les expressions trop longues + - éviter de répéter des expressions récurrentes + - lire les messages d'erreur +- Dans un programme {libyli} + - mettre les `import` au départ + - ne pas abuser de `from .... import *` (l'étoile) + - mettre les définitions de fonctions ensuite + - mettre le corps du programme à la fin +- Dans une fonction {libyli} + - bien nommer la fonction + - bien nommer les paramètres + - ne pas oublier le `return` (si besoin) + - éviter d'accéder à des variables globales + + + +## Valeurs de Paramètres par Défaut {libyli} +- But + - rendre certains paramètres optionnels + - leurs donner des valeurs par défaut +- Exemples +```python +def puissance(a, b=2): + return a**b + +# utilisation de la fonction +print( puissance(10, 2) ) # 100 +print( puissance(10, 3) ) # 1000 +print( puissance(10) ) # 100 +{slide} +``` + +```python +def somme(a, b, c=0, d=0): +  return a+b+c+d +  +# utilisation de la fonction +print( somme(10, 2) ) # 12 +print( somme(10, 2, 5) ) # 17 +print( somme(10, 2, 5, 100) ) # 117 +{slide} +``` +- Note : on ne peut omettre que le(s) dernier(s) paramètre(s) + +## Paramètres Nommés (*culture*) {libyli} +- But + - ne fournir de valeur que pour certains paramètres + - garder les autres paramètres par défaut + - ne pas être limité aux derniers paramètres par défaut +- Exemple +```python +def puissance(a=-1, b=2): + "retourne a puissance b, avec a=-1 et b=2 par défaut" + return a**b +{slide} +``` +- Comment l'appeler en ne passant que `b` ? +```python +print( puissance(b=10) ) # 1 +{slide} +``` +- Déjà vu avec `print` +```python +print("hello", "world", sep="!!!") # hello!!!world +{slide} +``` + +## Compréhension de Listes (*culture*) {libyli} +- Cas d'utilisation + - on veut parcourir une liste + - calculer une valeur pour chaque élément + - et remplir une nouvelle liste +- Version « classique » {anim-continue} +```python +premiers = [2, 3, 5, 7, 11] +carres = [] +for n in premiers: + carres.append(n*n) +{slide} +``` +- Compréhension de liste {anim-continue} +```python +premiers = [2, 3, 5, 7, 11, 13] +carres = [n*n for n in premiers] +{slide} +``` +- Compréhension de liste avec condition {anim-continue} +```python +def premier(n): + ... +carres = [n*n for n in range(15) if premier(n)] +{slide} +``` + +## Dictionnaires (*culture*) {libyli} +- Dictionnaire = conteneur associatif + - associe une valeur (de type quelconque) à une clé + - exemple: + - "lundi" -> "semaine" + - "mardi" -> "semaine" + - ... + - "dimanche" -> "week-end" +- Définition de dictionnaire {anim-continue} +```python +dico = {"lundi": "semaine", "mardi": "semaine", + "dimanche": "week-end"} +{slide} +``` +- Accès à un dictionnaire {anim-continue} +```python +print(dico["mardi"]) +# dico["jamais"] # <- erreur, clé non existante +{slide} +``` +- Ajout à un dictionnaire {anim-continue} +```python +dico["LUNDI"] = "semaine" +{slide} +``` + + +## Tuples, n-uplets (*culture*) {libyli} +- Motivation : paire, triplet, quadruplet + - grouper des valeurs ensemble + - comme une liste, mais non-mutable (constant) + - utilisable aussi avec `for`, `len()`, ... +- Notation : comme un liste mais avec des parenthèses {anim-continue} +```python +tup = ("hello", 12345, "poum") +print(tup[0]) # hello +print(tup[1]) # 12345 +{slide dense} +``` +- Dé-construction de tuples (et de listes) {anim-continue} +```python +a,b = ("hello", 12345) +print(a) # hello +a,b = (b,a) +print(a) # 12345 +{slide dense} +``` +- Pour retourner plusieurs valeurs {anim-continue} +```python +def nimp(): return ("hello", 12345) + +a,b = nimp() +{slide dense} +``` + +## Gestion d'Erreur (*culture*) {libyli} +- Motivation + - ne pas s'interrompre abruptement en cas d'erreur + - gérer les erreurs « d'entrées utilisateur » +- Exemple typique + - `input()` renvoie une chaîne de caractères + - la valeur doit être convertie si on veut un nombre + - (ou, autre exemple, on attend uniquement "oui" ou "non") +```python +nb_str = input("Entrez un nombre : ") # ex: '5' +msg = input("Entrez un message : ") # ex: 'Poum Tchak' +nb = int(nb_str) # erreur si nb_str ne représente pas un entier +print(nb * msg) +{slide dense} +``` +- Gestion d'erreur avec `try`/`except` {anim-continue} +```python +nb_str = input("Entrez un nombre : ") +msg = input("Entrez un message : ") +try: # essayer d'exécuter le code ci-dessous + nb = int(nb_str) +except: # s'il y a eu une erreur + print("Hum... ", nb_str, " pas entier ?") + exit() +print(nb * msg) +{slide dense} +``` + + + +# @copy:#plan: %+class:inred: .dataanalysis + +## Analyse de Données {#dataanalysis libyli} +- Étapes d'analyse de données + - collecte des données + - (filtrage manuel) + - chargement des données + - traitement des données (statistiques, transformations, ...) + - affichage des données +- Bibliothèques en Python + - chargement et traitement : numpy, scipy, pandas + - affichage : matplotlib + +## Tracé de courbes {libyli} +- Matplotlib + - de nombreuses fonctions pour tracer des courbes + - accueil, galerie + - très souvent utilisé avec « numpy » +- Utilisation de `pyplot` du module `matplotlib` + - très souvent importé avec +```python +import matplotlib.pyplot as plt +# as ... permet de donner un autre nom à un import +{slide dense} +``` +- Exemple +```python +import matplotlib.pyplot as plt +lesx = range(101) +lesy = [] +for x in lesx: + lesy.append( x**2 - 100*x ) + +plt.plot(lesx, lesy) +plt.savefig('test.pdf') +plt.show() +{slide dense second} +``` +- @anim: .second>span:nth-of-type(1) +- @anim: .second>span:nth-of-type(7) +- @anim: .second>span:nth-of-type(9) +- @anim: .second>span:nth-of-type(8) + + +## Des Données au Graphe {libyli} +- Utilisation en général de + - `numpy` chargement/manipulation des données (matrices) + - `matplotlib` pour l'affichage + - `scipy`, `pandas`, `sklearn` manipulation supplémentaires +- Exemple (autre exemple, en anglais)) +```python +import matplotlib.pyplot as plt +import numpy as np +import pandas + +# chargement dans une matrice +m = np.loadtxt('donnees.csv', delimiter=',') + +# moyenne sur les 4 premières colonnes +prems = m[:, 0:4] +prems = prems.mean(axis=1) + +# moyenne sur les autres colonnes +lasts = m[:, 4:] +lasts = lasts.mean(axis=1) + +# affichage en nuage de points +plt.scatter(prems, lasts) +plt.show() +{slide denser} +``` + + +# @copy:#plan: %+class:inred: .exqtido + +## Idées qtido / simulations {#exqtido} +- Tortue, "spirales" +- Animation artistique, mouvement brownien +- Le canard et le renard +- Lunar/Moon lander +- Diffusion de la chaleur $\frac{\partial T}{\partial t} = \frac{\partial^2 T}{\partial x ^2} $ +- vos idées ? + + +# @copy:#plan: %+class:inred: .snake + +## Snake {#snake image-full bottom-left darkened /black-bg /no-status} +
+ +## Serpent/Snake {libyli} +- Fonctionnalités ? // serpent, pommes, grandir, accélérer, score +- Modèle de données / technique de la simulation ? // le score + le serpent en liste + - variables pour stocker l'état ? + - état initial ? + - réactions aux événements ? +- Implémentation ? // qtido tuto etc + - aide/rappel `«e» in «l»` teste (valeur booléenne) si «e» est dans la liste «l» (attention, ceci est très différent de `for «e» in «l»`) + - `python3 serpent.py 15 10` (paramètres du programme dans la liste `sys.argv`) + + + + +## Points Clés {key deck-status-fake-end} +- Principe de l'appel d'une fonction + - chaque appel de fonction a + - ses propres variables paramètres (exemple : x, y) + - ses propre variables locales (exemple : d) + - `return` + - donne la valeur par laquelle sera remplacée l’appel + - pas de parenthèses (`return` n'est pas une fonction) + - `return` interrompt la fonction +- Technique de la fonction principale + + +
+ + +

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