structures de données (list + dico)
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@ -20,6 +20,70 @@ Algorithmes sur les structures de données simples
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| Recherche d’un mot dans une chaîne de caractères. | On se limite ici à l’algorithme "naïf", en estimant sa complexité. |
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| Recherche d’un mot dans une chaîne de caractères. | On se limite ici à l’algorithme "naïf", en estimant sa complexité. |
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+------------------------------------------------------+------------------------------------------------------------------------+
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+------------------------------------------------------+------------------------------------------------------------------------+
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Liste
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------
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.. code-block:: python
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zoo = ['bear', 'lion', 'panda', 'zebra']
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print(zoo)
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# But these list elements are not
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biggerZoo = ['bear', 'lion', 'panda', 'zebra', ['chimpanzees', 'gorillas', 'orangutans', 'gibbons']]
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print(biggerZoo)
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FIXME
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- Lists Versus Tuples
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- Lists Versus Sets
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Tuples are used to collect an immutable ordered list of elements. This means that:
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You can’t add elements to a tuple. There’s no append() or extend() method for tuples,
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You can’t remove elements from a tuple. Tuples have no remove() or pop() method,
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You can find elements in a tuple since this doesn’t change the tuple.
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You can also use the in operator to check if an element exists in the tuple.
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A list stores an ordered collection of items, so it keeps some order. Dictionaries don’t have any order.
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Dictionaries are known to associate each key with a value, while lists just contain values.
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Use a dictionary when you have an unordered set of unique keys that map to values.
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.. code-block:: python
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>>> listOfStrings = ['One', 'Two', 'Three']
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>>> strOfStrings = ' '.join(listOfStrings)
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>>> print(strOfStrings)
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One Two Three
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>>>
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>>> # List Of Integers to a String
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... listOfNumbers = [1, 2, 3]
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>>> strOfNumbers = ''.join(str(n) for n in listOfNumbers)
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>>> print(strOfNumbers)
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123
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>>>
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Modification de la structure de données
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----------------------------------------
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.. code-block:: python
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>>> l = [('host1', '10.1.2.3', '6E:FF:56:A2:AF:18'), ('host2', '10.1.2.4', '6E:FF:56:A2:AF:17'), ('host3', '10.1.2.5', '6E:FF:56:A2:AF:19')]
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>>> result = []
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>>> for hostname, ip, macaddress in l:
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... result.append(dict(hostname=hostname, ip=ip, macaddress=macaddress))
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...
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>>> result
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[{'hostname': 'host1', 'ip': '10.1.2.3', 'macaddress': '6E:FF:56:A2:AF:18'},
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{'hostname': 'host2', 'ip': '10.1.2.4', 'macaddress': '6E:FF:56:A2:AF:17'},
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{'hostname': 'host3', 'ip': '10.1.2.5', 'macaddress': '6E:FF:56:A2:AF:19'}]
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>>>
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Structures de données complexes
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Structures de données complexes
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================================
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================================
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@ -203,6 +203,15 @@ Il est possible de communiquer de la manière suivante avec un programme :
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- lire du texte ou un nombre
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- lire du texte ou un nombre
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- manipuler les prompts
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- manipuler les prompts
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Exemple de lecture d'une entrée utilisateur
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.. block-code:: python
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# coding: utf-8
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prenom = raw_input("quel est ton prénom ? \n")
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print("bonjour, je m'appelle " + prenom.capitalize())
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La REPL (boucle d'interaction)
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La REPL (boucle d'interaction)
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-------------------------------
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-------------------------------
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