Semaine 4, jour 2
This commit is contained in:
gauvainboiche
1
Semaine_04/Bases/.python-version
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1
Semaine_04/Bases/.python-version
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3.12
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0
Semaine_04/Bases/README.md
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0
Semaine_04/Bases/README.md
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5
Semaine_04/Bases/main.py
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5
Semaine_04/Bases/main.py
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@@ -0,0 +1,5 @@
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prenom = "Alice"
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nom = "Dupont"
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age = 30
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print(prenom)
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9
Semaine_04/Bases/pyproject.toml
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9
Semaine_04/Bases/pyproject.toml
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@@ -0,0 +1,9 @@
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[project]
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name = "bases"
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version = "0.1.0"
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description = "Add your description here"
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readme = "README.md"
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requires-python = ">=3.12"
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dependencies = [
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"requests>=2.32.5",
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]
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113
Semaine_04/Bases/uv.lock
generated
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113
Semaine_04/Bases/uv.lock
generated
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@@ -0,0 +1,113 @@
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version = 1
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revision = 3
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requires-python = ">=3.12"
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[[package]]
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name = "bases"
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version = "0.1.0"
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source = { virtual = "." }
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dependencies = [
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{ name = "requests" },
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]
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[package.metadata]
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requires-dist = [{ name = "requests", specifier = ">=2.32.5" }]
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[[package]]
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name = "certifi"
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version = "2026.1.4"
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source = { registry = "https://pypi.org/simple" }
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sdist = { url = "https://files.pythonhosted.org/packages/e0/2d/a891ca51311197f6ad14a7ef42e2399f36cf2f9bd44752b3dc4eab60fdc5/certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120", size = 154268, upload-time = "2026-01-04T02:42:41.825Z" }
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wheels = [
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]
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[[package]]
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name = "charset-normalizer"
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version = "3.4.4"
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source = { registry = "https://pypi.org/simple" }
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||||
{ url = "https://files.pythonhosted.org/packages/60/bb/2186cb2f2bbaea6338cad15ce23a67f9b0672929744381e28b0592676824/charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_armv7l.whl", hash = "sha256:47cc91b2f4dd2833fddaedd2893006b0106129d4b94fdb6af1f4ce5a9965577c", size = 143680, upload-time = "2025-10-14T04:41:43.661Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/df/c5/d1be898bf0dc3ef9030c3825e5d3b83f2c528d207d246cbabe245966808d/charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:2b7d8f6c26245217bd2ad053761201e9f9680f8ce52f0fcd8d0755aeae5b2152", size = 149687, upload-time = "2025-10-14T04:41:46.442Z" },
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{ url = "https://files.pythonhosted.org/packages/b0/6f/8f7af07237c34a1defe7defc565a9bc1807762f672c0fde711a4b22bf9c0/charset_normalizer-3.4.4-cp314-cp314-win32.whl", hash = "sha256:f9d332f8c2a2fcbffe1378594431458ddbef721c1769d78e2cbc06280d8155f9", size = 99940, upload-time = "2025-10-14T04:41:49.946Z" },
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|
||||
[[package]]
|
||||
name = "idna"
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||||
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||||
source = { registry = "https://pypi.org/simple" }
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||||
sdist = { url = "https://files.pythonhosted.org/packages/6f/6d/0703ccc57f3a7233505399edb88de3cbd678da106337b9fcde432b65ed60/idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902", size = 194582, upload-time = "2025-10-12T14:55:20.501Z" }
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||||
]
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||||
|
||||
[[package]]
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||||
name = "requests"
|
||||
version = "2.32.5"
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||||
source = { registry = "https://pypi.org/simple" }
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||||
dependencies = [
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||||
{ name = "certifi" },
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||||
{ name = "charset-normalizer" },
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{ name = "idna" },
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{ name = "urllib3" },
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||||
[[package]]
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||||
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]
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||||
1
Semaine_04/Bibliotheque/.python-version
Normal file
1
Semaine_04/Bibliotheque/.python-version
Normal file
@@ -0,0 +1 @@
|
||||
3.12
|
||||
0
Semaine_04/Bibliotheque/README.md
Normal file
0
Semaine_04/Bibliotheque/README.md
Normal file
56
Semaine_04/Bibliotheque/functions.py
Normal file
56
Semaine_04/Bibliotheque/functions.py
Normal file
@@ -0,0 +1,56 @@
|
||||
import json
|
||||
|
||||
def add_new_book(book_list: list[dict[str, str]], book: dict[str, str]): # On précise le contenu des clefs et valeurs du dictionnaire
|
||||
"""Ajoute un nouveau livre"""
|
||||
if book in book_list:
|
||||
return f"{book["Title"].upper()} y est déjà."
|
||||
book_list.append(book)
|
||||
return f"{book["Title"].upper()} a été ajouté."
|
||||
|
||||
def take_out_book(book_list: list[dict[str, str]], title: str):
|
||||
"""Retire un livre déjà présent"""
|
||||
for book in book_list:
|
||||
if book["Title"].lower() == title.lower():
|
||||
book_list.remove(book)
|
||||
return f"{title.upper()} a été retiré."
|
||||
return f"{title.upper()} n'y est pas."
|
||||
|
||||
def list_books_in_list(book_list: list[dict]):
|
||||
"""Liste les livres présents"""
|
||||
return book_list
|
||||
|
||||
def sort_books_by_name(book_list: list[dict]):
|
||||
"""Tri les livres par ordre alphabétique"""
|
||||
book_list.sort(key= lambda dict: dict["Title"]) # pour trier par clefs et non plus par objets
|
||||
|
||||
def display_number_of_books(book_list: list) -> int:
|
||||
"""Donne le nombre de livres présents"""
|
||||
return len(book_list)
|
||||
|
||||
def search_book_by_word(book_list: list[dict[str, str]], word: str):
|
||||
"""Cherche un livre par mot de départ"""
|
||||
results = []
|
||||
for book in book_list:
|
||||
if word.lower() in book["Title"].lower():
|
||||
results.append(book)
|
||||
return results if len(results) > 0 else "Pas de résultat."
|
||||
|
||||
def search_book_by_letter(book_list: list[dict[str, str]], letter: str):
|
||||
"""Cherche un livre par lettre de départ"""
|
||||
results = []
|
||||
for book in book_list:
|
||||
if book["Title"].startswith(letter):
|
||||
results.append(book)
|
||||
return results if len(results) > 0 else "Pas de résultat."
|
||||
|
||||
# Sauvegarde des livres dans un JSON pour persistance des données
|
||||
|
||||
def save(book_list):
|
||||
"""Inscris dans un fichier JSON le contenu de la bibliothèque"""
|
||||
with open("books.json", "w") as json_file:
|
||||
json.dump(book_list, json_file, indent= 4)
|
||||
|
||||
def load():
|
||||
"""Récupère le contenu d'un fichier JSON"""
|
||||
with open("books.json") as json_file:
|
||||
return json.load(json_file)
|
||||
36
Semaine_04/Bibliotheque/main.py
Normal file
36
Semaine_04/Bibliotheque/main.py
Normal file
@@ -0,0 +1,36 @@
|
||||
from functions import \
|
||||
add_new_book,\
|
||||
take_out_book,\
|
||||
list_books_in_list,\
|
||||
sort_books_by_name,\
|
||||
display_number_of_books,\
|
||||
search_book_by_word,\
|
||||
search_book_by_letter,\
|
||||
save, load
|
||||
|
||||
books = []
|
||||
|
||||
for i in range(3):
|
||||
new_book_title = input ("Quel livre ajouter ? > ")
|
||||
new_book_author = input ("Qui l'a écrit ? > ")
|
||||
new_book = {
|
||||
"Title": new_book_title,
|
||||
"Author": new_book_author
|
||||
}
|
||||
new_book_added = add_new_book(books, new_book)
|
||||
print (new_book_added)
|
||||
|
||||
#print(take_out_book(books, new_book))
|
||||
|
||||
sort_books_by_name(books)
|
||||
print(list_books_in_list(books))
|
||||
|
||||
book_number = display_number_of_books(books)
|
||||
|
||||
print(f"La bibliothèque contient {book_number} livres.")
|
||||
|
||||
searching_word = input("Mot recherché > ")
|
||||
print(search_book_by_word(books, searching_word))
|
||||
|
||||
searching_letter = input("Lettre recherchée > ")
|
||||
print(search_book_by_letter(books, searching_letter))
|
||||
7
Semaine_04/Bibliotheque/pyproject.toml
Normal file
7
Semaine_04/Bibliotheque/pyproject.toml
Normal file
@@ -0,0 +1,7 @@
|
||||
[project]
|
||||
name = "bibliotheque"
|
||||
version = "0.1.0"
|
||||
description = "Add your description here"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.12"
|
||||
dependencies = []
|
||||
8
Semaine_04/Bibliotheque/uv.lock
generated
Normal file
8
Semaine_04/Bibliotheque/uv.lock
generated
Normal file
@@ -0,0 +1,8 @@
|
||||
version = 1
|
||||
revision = 3
|
||||
requires-python = ">=3.12"
|
||||
|
||||
[[package]]
|
||||
name = "bibliotheque"
|
||||
version = "0.1.0"
|
||||
source = { virtual = "." }
|
||||
1
Semaine_04/Exercices/.python-version
Normal file
1
Semaine_04/Exercices/.python-version
Normal file
@@ -0,0 +1 @@
|
||||
3.12
|
||||
0
Semaine_04/Exercices/README.md
Normal file
0
Semaine_04/Exercices/README.md
Normal file
21
Semaine_04/Exercices/coke_kata.py
Normal file
21
Semaine_04/Exercices/coke_kata.py
Normal file
@@ -0,0 +1,21 @@
|
||||
"""
|
||||
An isogram is a word that has no repeating letters, consecutive or non-consecutive. Implement a function that determines whether a string that contains only letters is an isogram. Assume the empty string is an isogram. Ignore letter case.
|
||||
|
||||
Example: (Input --> Output)
|
||||
|
||||
"Dermatoglyphics" --> true
|
||||
"aba" --> false
|
||||
"moOse" --> false (ignore letter case)
|
||||
"""
|
||||
|
||||
def is_isogram(string):
|
||||
string = string.lower()
|
||||
for letter in string:
|
||||
if string.count(letter) > 1:
|
||||
return False
|
||||
return True
|
||||
|
||||
# Solution la plus opti
|
||||
|
||||
def is_isogram(string):
|
||||
return len(string) == len(set(string.lower()))
|
||||
72
Semaine_04/Exercices/exo_01.py
Normal file
72
Semaine_04/Exercices/exo_01.py
Normal file
@@ -0,0 +1,72 @@
|
||||
destinations = {
|
||||
"Pyongyang": 5,
|
||||
"Havana": 2,
|
||||
"Caracas": 7
|
||||
}
|
||||
|
||||
destinations["Moscow"] = 0
|
||||
destinations["Ho-Chi-Minh Town"] = 0
|
||||
|
||||
def add_destination(destinations: dict, town: str, number: int):
|
||||
if town not in destinations:
|
||||
destinations[town] = 0
|
||||
|
||||
def add_reservation(destinations: dict, town: str, number: int):
|
||||
if town in destinations:
|
||||
destinations[town] += number
|
||||
else:
|
||||
destinations[town] = number
|
||||
|
||||
def remove_reservation(destinations: dict, town: str):
|
||||
if town in destinations:
|
||||
new_destinations = dict(destinations)
|
||||
del new_destinations[town]
|
||||
return new_destinations
|
||||
|
||||
def show_destinations_available(destinations: dict):
|
||||
for town in destinations:
|
||||
if destinations[town] != 0:
|
||||
print(town + " : " + str(destinations[town]))
|
||||
|
||||
def show_destinations_by_reservations(destinations: dict):
|
||||
print(sorted(destinations)) # ["Pyongyang", "Havana", "Caracas"]
|
||||
print(sorted(destinations.keys())) # ["Pyongyang", "Havana", "Caracas"]
|
||||
print(sorted(destinations.values)) # [5, 2, 7]
|
||||
print(sorted(destinations.items)) # [("Pyongyang", 5), ("Havana", 2), ("Caracas", 7)]
|
||||
|
||||
def return_second_tuple_element(tuple):
|
||||
return tuple[1]
|
||||
|
||||
print(sorted(destinations.items(), key= return_second_tuple_element)) # [('Moscow', 0), ('Ho-Chi-Minh Town', 0), ('Havana', 2), ('Pyongyang', 5), ('Caracas', 7)]
|
||||
print(sorted(destinations.items(), key= lambda tuple : tuple[1])) # [('Moscow', 0), ('Ho-Chi-Minh Town', 0), ('Havana', 2), ('Pyongyang', 5), ('Caracas', 7)]
|
||||
|
||||
#show_destinations_available(destinations)
|
||||
|
||||
# Données déstructurées
|
||||
|
||||
dc_infos = ("Dale", "Cooper", "32")
|
||||
dc_prenom = dc_infos[0]
|
||||
dc_nom = dc_infos[1]
|
||||
dc_age = dc_infos[2]
|
||||
|
||||
dc_prenom, dc_nom, dc_age = dc_infos
|
||||
|
||||
def generator():
|
||||
for i in range(10):
|
||||
yield i
|
||||
|
||||
def square_generator(n):
|
||||
for i in range(n):
|
||||
yield i ** 2
|
||||
|
||||
print(generator())
|
||||
squares = square_generator(10)
|
||||
|
||||
print(next(squares))
|
||||
print(next(squares))
|
||||
print(next(squares))
|
||||
print(next(squares))
|
||||
print(next(squares))
|
||||
print(next(squares))
|
||||
print(next(squares))
|
||||
print(next(squares))
|
||||
28
Semaine_04/Exercices/exo_03.py
Normal file
28
Semaine_04/Exercices/exo_03.py
Normal file
@@ -0,0 +1,28 @@
|
||||
import sys
|
||||
|
||||
input_string = input("Ecris un truc > ")
|
||||
|
||||
if len(input_string) == 0:
|
||||
print("Tu aurais pu participer.")
|
||||
sys.exit()
|
||||
|
||||
def return_string_infos(input_string: str):
|
||||
print("Tu as tapé : " + "\"" + input_string + "\"")
|
||||
print("Elle fait exactement " + str(len(input_string)) + " caractères.")
|
||||
print("EN MAJUSCULES, ELLE DONNE : " + "\"" + input_string.upper() + "\"")
|
||||
print("en minuscules, elle donne : " + "\"" + input_string.lower() + "\"")
|
||||
print("A l'envers, elle donne : " + "\"" + input_string[::-1] + "\"")
|
||||
|
||||
def replace_word_in_string(input_string: str, word_to_replace: str, word_replacement: str) -> str:
|
||||
print(f"Remplaçant \"{word_to_replace}\" par \"{word_replacement}\", cela donne : {input_string.replace(word_to_replace, word_replacement)}")
|
||||
|
||||
def count_occurences_in_string(input_string: str, occurence: str):
|
||||
print(f"L'occurence \"{occurence}\" apparaît {input_string.count(occurence)} fois.")
|
||||
|
||||
def strip_of_spaces(input_string: str):
|
||||
print(f"Sans les espaces de début et de fin, cela donne : {input_string.strip()}")
|
||||
|
||||
return_string_infos(input_string)
|
||||
replace_word_in_string(input_string, "vie", "mort")
|
||||
count_occurences_in_string(input_string, "e")
|
||||
strip_of_spaces(input_string)
|
||||
1
Semaine_04/Exercices/main.py
Normal file
1
Semaine_04/Exercices/main.py
Normal file
@@ -0,0 +1 @@
|
||||
from Semaine_04.Exercice_01.exo_01 import
|
||||
34
Semaine_04/Exercices/pendu.py
Normal file
34
Semaine_04/Exercices/pendu.py
Normal file
@@ -0,0 +1,34 @@
|
||||
word_to_find = "parapluie"
|
||||
word_hidden = "_" * len(word_to_find)
|
||||
list_word_hidden = list(word_hidden)
|
||||
attempts = 10
|
||||
|
||||
already_chosen_letter = []
|
||||
|
||||
print(word_hidden)
|
||||
|
||||
while word_hidden != word_to_find and attempts > 0:
|
||||
chosen_letter = input("Saisir une lettre > ").strip().lower()[0] # on ne prend VRAIMENT que la première lettre
|
||||
|
||||
if chosen_letter in already_chosen_letter:
|
||||
print(f"Vous avez déjà saisie la lettre {chosen_letter.upper()}.")
|
||||
attempts -= 1
|
||||
continue
|
||||
|
||||
already_chosen_letter.append(chosen_letter)
|
||||
|
||||
if chosen_letter not in word_to_find:
|
||||
attempts -= 1
|
||||
continue
|
||||
|
||||
for index, letter in enumerate(word_to_find):
|
||||
if letter == chosen_letter:
|
||||
list_word_hidden[index] = chosen_letter
|
||||
|
||||
word_hidden = "".join(list_word_hidden)
|
||||
print(f"Il reste {attempts} tentatives. \n {word_hidden} \n")
|
||||
|
||||
if word_hidden != word_to_find:
|
||||
print(f"Perdu ! Le mot était {word_to_find.upper()}.")
|
||||
else:
|
||||
print("Gagné !")
|
||||
7
Semaine_04/Exercices/pyproject.toml
Normal file
7
Semaine_04/Exercices/pyproject.toml
Normal file
@@ -0,0 +1,7 @@
|
||||
[project]
|
||||
name = "exercice-01"
|
||||
version = "0.1.0"
|
||||
description = "Add your description here"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.12"
|
||||
dependencies = []
|
||||
8
Semaine_04/Exercices/uv.lock
generated
Normal file
8
Semaine_04/Exercices/uv.lock
generated
Normal file
@@ -0,0 +1,8 @@
|
||||
version = 1
|
||||
revision = 3
|
||||
requires-python = ">=3.12"
|
||||
|
||||
[[package]]
|
||||
name = "exercice-01"
|
||||
version = "0.1.0"
|
||||
source = { virtual = "." }
|
||||
BIN
Semaine_04/Exercices_python.pdf
Normal file
BIN
Semaine_04/Exercices_python.pdf
Normal file
Binary file not shown.
1
Semaine_04/Fonctions/.python-version
Normal file
1
Semaine_04/Fonctions/.python-version
Normal file
@@ -0,0 +1 @@
|
||||
3.12
|
||||
0
Semaine_04/Fonctions/README.md
Normal file
0
Semaine_04/Fonctions/README.md
Normal file
1
Semaine_04/Fonctions/csv_test
Normal file
1
Semaine_04/Fonctions/csv_test
Normal file
@@ -0,0 +1 @@
|
||||
Nom,Prénom,Âge
|
||||
42
Semaine_04/Fonctions/functions.py
Normal file
42
Semaine_04/Fonctions/functions.py
Normal file
@@ -0,0 +1,42 @@
|
||||
import os
|
||||
from tkinter.ttk import Separator
|
||||
import pandas
|
||||
import csv
|
||||
|
||||
def addition(a: int, b: int):
|
||||
somme = a + b
|
||||
return somme
|
||||
|
||||
def create_folder(path: str, name:str):
|
||||
chemin_complet = os.path.join(path, name)
|
||||
if not os.path.isdir(chemin_complet):
|
||||
os.mkdir(chemin_complet)
|
||||
|
||||
def create_empty_csv_file(
|
||||
path: str,
|
||||
filename: str,
|
||||
/, # ce qui est avant le / est du positionnage
|
||||
*, # ce qui est après le * est du nommage
|
||||
colonnes: list,
|
||||
separateur: str = ","
|
||||
):
|
||||
tableau = pandas.DataFrame(columns= colonnes)
|
||||
chemin_complet = os.path.join(path, filename)
|
||||
tableau.to_csv(
|
||||
path_or_buf= chemin_complet,
|
||||
sep= separateur,
|
||||
index= False
|
||||
)
|
||||
|
||||
def write_to_csv(
|
||||
path: str,
|
||||
filename: str,
|
||||
colonnes: list,
|
||||
donnees: list[dict]
|
||||
):
|
||||
if not filename.endswith(".csv"):
|
||||
filename += ".csv"
|
||||
chemin_complet = os.path.join(path, filename)
|
||||
fichier_csv = open(chemin_complet, "a")
|
||||
writer = csv.DictWriter(fichier_csv, colonnes, delimiter= separateur, lineterminator= "\n")
|
||||
writer.writerows(donnees)
|
||||
31
Semaine_04/Fonctions/main.py
Normal file
31
Semaine_04/Fonctions/main.py
Normal file
@@ -0,0 +1,31 @@
|
||||
from functions import addition, create_folder, create_empty_csv_file, write_to_csv
|
||||
|
||||
print(addition(3,7))
|
||||
|
||||
create_folder(".", "data")
|
||||
|
||||
# Ou bien, si on veut changer l'ordre des arguments
|
||||
|
||||
create_folder(
|
||||
name= "data",
|
||||
path= "."
|
||||
)
|
||||
|
||||
create_empty_csv_file(
|
||||
".",
|
||||
"csv_test",
|
||||
colonnes= ["Nom", "Prénom", "Âge"]
|
||||
)
|
||||
|
||||
data = [
|
||||
{"id" = 1, "Prénom": "Dale", "Nom": "Cooper", "Âge": 35},
|
||||
{"id" = 2, "Prénom": "Dale", "Nom": "Cooper", "Âge": 35},
|
||||
{"id" = 3, "Prénom": "Dougie", "Nom": "Jones", "Âge": 35},
|
||||
]
|
||||
|
||||
write_to_csv(
|
||||
path= "data",
|
||||
filename= "donnees",
|
||||
colonnes= ["Nom", "Prénom", "Âge"],
|
||||
donnees= data[]
|
||||
)
|
||||
9
Semaine_04/Fonctions/pyproject.toml
Normal file
9
Semaine_04/Fonctions/pyproject.toml
Normal file
@@ -0,0 +1,9 @@
|
||||
[project]
|
||||
name = "fonctions"
|
||||
version = "0.1.0"
|
||||
description = "Add your description here"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.12"
|
||||
dependencies = [
|
||||
"pandas>=2.3.3",
|
||||
]
|
||||
161
Semaine_04/Fonctions/uv.lock
generated
Normal file
161
Semaine_04/Fonctions/uv.lock
generated
Normal file
@@ -0,0 +1,161 @@
|
||||
version = 1
|
||||
revision = 3
|
||||
requires-python = ">=3.12"
|
||||
|
||||
[[package]]
|
||||
name = "fonctions"
|
||||
version = "0.1.0"
|
||||
source = { virtual = "." }
|
||||
dependencies = [
|
||||
{ name = "pandas" },
|
||||
]
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [{ name = "pandas", specifier = ">=2.3.3" }]
|
||||
|
||||
[[package]]
|
||||
name = "numpy"
|
||||
version = "2.4.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/24/62/ae72ff66c0f1fd959925b4c11f8c2dea61f47f6acaea75a08512cdfe3fed/numpy-2.4.1.tar.gz", hash = "sha256:a1ceafc5042451a858231588a104093474c6a5c57dcc724841f5c888d237d690", size = 20721320, upload-time = "2026-01-10T06:44:59.619Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/78/7f/ec53e32bf10c813604edf07a3682616bd931d026fcde7b6d13195dfb684a/numpy-2.4.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:d3703409aac693fa82c0aee023a1ae06a6e9d065dba10f5e8e80f642f1e9d0a2", size = 16656888, upload-time = "2026-01-10T06:42:40.913Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b8/e0/1f9585d7dae8f14864e948fd7fa86c6cb72dee2676ca2748e63b1c5acfe0/numpy-2.4.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7211b95ca365519d3596a1d8688a95874cc94219d417504d9ecb2df99fa7bfa8", size = 12373956, upload-time = "2026-01-10T06:42:43.091Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/8e/43/9762e88909ff2326f5e7536fa8cb3c49fb03a7d92705f23e6e7f553d9cb3/numpy-2.4.1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:5adf01965456a664fc727ed69cc71848f28d063217c63e1a0e200a118d5eec9a", size = 5202567, upload-time = "2026-01-10T06:42:45.107Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/4b/ee/34b7930eb61e79feb4478800a4b95b46566969d837546aa7c034c742ef98/numpy-2.4.1-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:26f0bcd9c79a00e339565b303badc74d3ea2bd6d52191eeca5f95936cad107d0", size = 6549459, upload-time = "2026-01-10T06:42:48.152Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/79/e3/5f115fae982565771be994867c89bcd8d7208dbfe9469185497d70de5ddf/numpy-2.4.1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0093e85df2960d7e4049664b26afc58b03236e967fb942354deef3208857a04c", size = 14404859, upload-time = "2026-01-10T06:42:49.947Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d9/7d/9c8a781c88933725445a859cac5d01b5871588a15969ee6aeb618ba99eee/numpy-2.4.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7ad270f438cbdd402c364980317fb6b117d9ec5e226fff5b4148dd9aa9fc6e02", size = 16371419, upload-time = "2026-01-10T06:42:52.409Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a6/d2/8aa084818554543f17cf4162c42f162acbd3bb42688aefdba6628a859f77/numpy-2.4.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:297c72b1b98100c2e8f873d5d35fb551fce7040ade83d67dd51d38c8d42a2162", size = 16182131, upload-time = "2026-01-10T06:42:54.694Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/60/db/0425216684297c58a8df35f3284ef56ec4a043e6d283f8a59c53562caf1b/numpy-2.4.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:cf6470d91d34bf669f61d515499859fa7a4c2f7c36434afb70e82df7217933f9", size = 18295342, upload-time = "2026-01-10T06:42:56.991Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/31/4c/14cb9d86240bd8c386c881bafbe43f001284b7cce3bc01623ac9475da163/numpy-2.4.1-cp312-cp312-win32.whl", hash = "sha256:b6bcf39112e956594b3331316d90c90c90fb961e39696bda97b89462f5f3943f", size = 5959015, upload-time = "2026-01-10T06:42:59.631Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/51/cf/52a703dbeb0c65807540d29699fef5fda073434ff61846a564d5c296420f/numpy-2.4.1-cp312-cp312-win_amd64.whl", hash = "sha256:e1a27bb1b2dee45a2a53f5ca6ff2d1a7f135287883a1689e930d44d1ff296c87", size = 12310730, upload-time = "2026-01-10T06:43:01.627Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/69/80/a828b2d0ade5e74a9fe0f4e0a17c30fdc26232ad2bc8c9f8b3197cf7cf18/numpy-2.4.1-cp312-cp312-win_arm64.whl", hash = "sha256:0e6e8f9d9ecf95399982019c01223dc130542960a12edfa8edd1122dfa66a8a8", size = 10312166, upload-time = "2026-01-10T06:43:03.673Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/04/68/732d4b7811c00775f3bd522a21e8dd5a23f77eb11acdeb663e4a4ebf0ef4/numpy-2.4.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:d797454e37570cfd61143b73b8debd623c3c0952959adb817dd310a483d58a1b", size = 16652495, upload-time = "2026-01-10T06:43:06.283Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/20/ca/857722353421a27f1465652b2c66813eeeccea9d76d5f7b74b99f298e60e/numpy-2.4.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:82c55962006156aeef1629b953fd359064aa47e4d82cfc8e67f0918f7da3344f", size = 12368657, upload-time = "2026-01-10T06:43:09.094Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/81/0d/2377c917513449cc6240031a79d30eb9a163d32a91e79e0da47c43f2c0c8/numpy-2.4.1-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:71abbea030f2cfc3092a0ff9f8c8fdefdc5e0bf7d9d9c99663538bb0ecdac0b9", size = 5197256, upload-time = "2026-01-10T06:43:13.634Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/17/39/569452228de3f5de9064ac75137082c6214be1f5c532016549a7923ab4b5/numpy-2.4.1-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:5b55aa56165b17aaf15520beb9cbd33c9039810e0d9643dd4379e44294c7303e", size = 6545212, upload-time = "2026-01-10T06:43:15.661Z" },
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||||
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||||
{ url = "https://files.pythonhosted.org/packages/ba/87/d341e519956273b39d8d47969dd1eaa1af740615394fe67d06f1efa68773/numpy-2.4.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d3e3087f53e2b4428766b54932644d148613c5a595150533ae7f00dab2f319a8", size = 16359305, upload-time = "2026-01-10T06:43:19.376Z" },
|
||||
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||||
{ url = "https://files.pythonhosted.org/packages/cf/b8/090b8bd27b82a844bb22ff8fdf7935cb1980b48d6e439ae116f53cdc2143/numpy-2.4.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:79e9e06c4c2379db47f3f6fc7a8652e7498251789bf8ff5bd43bf478ef314ca2", size = 18284380, upload-time = "2026-01-10T06:43:23.957Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/67/78/722b62bd31842ff029412271556a1a27a98f45359dea78b1548a3a9996aa/numpy-2.4.1-cp313-cp313-win32.whl", hash = "sha256:3d1a100e48cb266090a031397863ff8a30050ceefd798f686ff92c67a486753d", size = 5957089, upload-time = "2026-01-10T06:43:27.535Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/da/a6/cf32198b0b6e18d4fbfa9a21a992a7fca535b9bb2b0cdd217d4a3445b5ca/numpy-2.4.1-cp313-cp313-win_amd64.whl", hash = "sha256:92a0e65272fd60bfa0d9278e0484c2f52fe03b97aedc02b357f33fe752c52ffb", size = 12307230, upload-time = "2026-01-10T06:43:29.298Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/44/6c/534d692bfb7d0afe30611320c5fb713659dcb5104d7cc182aff2aea092f5/numpy-2.4.1-cp313-cp313-win_arm64.whl", hash = "sha256:20d4649c773f66cc2fc36f663e091f57c3b7655f936a4c681b4250855d1da8f5", size = 10313125, upload-time = "2026-01-10T06:43:31.782Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/da/a1/354583ac5c4caa566de6ddfbc42744409b515039e085fab6e0ff942e0df5/numpy-2.4.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:f93bc6892fe7b0663e5ffa83b61aab510aacffd58c16e012bb9352d489d90cb7", size = 12496156, upload-time = "2026-01-10T06:43:34.237Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/51/b0/42807c6e8cce58c00127b1dc24d365305189991f2a7917aa694a109c8d7d/numpy-2.4.1-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:178de8f87948163d98a4c9ab5bee4ce6519ca918926ec8df195af582de28544d", size = 5324663, upload-time = "2026-01-10T06:43:36.211Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/fe/55/7a621694010d92375ed82f312b2f28017694ed784775269115323e37f5e2/numpy-2.4.1-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:98b35775e03ab7f868908b524fc0a84d38932d8daf7b7e1c3c3a1b6c7a2c9f15", size = 6645224, upload-time = "2026-01-10T06:43:37.884Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/50/96/9fa8635ed9d7c847d87e30c834f7109fac5e88549d79ef3324ab5c20919f/numpy-2.4.1-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:941c2a93313d030f219f3a71fd3d91a728b82979a5e8034eb2e60d394a2b83f9", size = 14462352, upload-time = "2026-01-10T06:43:39.479Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/03/d1/8cf62d8bb2062da4fb82dd5d49e47c923f9c0738032f054e0a75342faba7/numpy-2.4.1-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:529050522e983e00a6c1c6b67411083630de8b57f65e853d7b03d9281b8694d2", size = 16407279, upload-time = "2026-01-10T06:43:41.93Z" },
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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]
|
||||
|
||||
[[package]]
|
||||
name = "python-dateutil"
|
||||
version = "2.9.0.post0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "six" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/66/c0/0c8b6ad9f17a802ee498c46e004a0eb49bc148f2fd230864601a86dcf6db/python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3", size = 342432, upload-time = "2024-03-01T18:36:20.211Z" }
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]
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||||
|
||||
[[package]]
|
||||
name = "pytz"
|
||||
version = "2025.2"
|
||||
source = { registry = "https://pypi.org/simple" }
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|
||||
[[package]]
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||||
name = "six"
|
||||
version = "1.17.0"
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||||
source = { registry = "https://pypi.org/simple" }
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sdist = { url = "https://files.pythonhosted.org/packages/94/e7/b2c673351809dca68a0e064b6af791aa332cf192da575fd474ed7d6f16a2/six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81", size = 34031, upload-time = "2024-12-04T17:35:28.174Z" }
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]
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||||
|
||||
[[package]]
|
||||
name = "tzdata"
|
||||
version = "2025.3"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/5e/a7/c202b344c5ca7daf398f3b8a477eeb205cf3b6f32e7ec3a6bac0629ca975/tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7", size = 196772, upload-time = "2025-12-13T17:45:35.667Z" }
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]
|
||||
66
Semaine_04/Jour_01.md
Normal file
66
Semaine_04/Jour_01.md
Normal file
@@ -0,0 +1,66 @@
|
||||
# Les bases de Python
|
||||
|
||||
## UV (NPM de Python)
|
||||
|
||||
*Je suis sur Windows, les commandes divergent sur UNIX(like)
|
||||
|
||||
Pour installer UV, remplaçant PIP et consorts (évidemment codé en RUST) :
|
||||
|
||||
https://docs.astral.sh/uv/#projects
|
||||
|
||||
Dans le dossier de travail :
|
||||
|
||||
`uv init --python 3.12`
|
||||
|
||||
Et dans le dossier initialisé :
|
||||
|
||||
```sh
|
||||
.venv\Scripts\activate
|
||||
uv run main.py
|
||||
|
||||
# On peut aussi activer le .venv en l'initialisation plus avant en intervertissant les commandes, donc :
|
||||
|
||||
uv run main.py
|
||||
.venv\Scripts\activate
|
||||
```
|
||||
|
||||
## Quelques bases oubliées
|
||||
|
||||
### Fonctions
|
||||
|
||||
Une fonction appelle un résultat.
|
||||
|
||||
```py
|
||||
fonction(variable)
|
||||
```
|
||||
|
||||
Définir une fonction :
|
||||
|
||||
```py
|
||||
def fonction():
|
||||
return true
|
||||
```
|
||||
|
||||
On peut forcer le type des variables d'une fonction :
|
||||
|
||||
```py
|
||||
def fonction(a: int, b: int):
|
||||
somme = a + b
|
||||
return somme
|
||||
```
|
||||
|
||||
Et même une valeur par défaut
|
||||
|
||||
```py
|
||||
def fonction(a: int, b: int = 5):
|
||||
somme = a + b
|
||||
return somme
|
||||
```
|
||||
|
||||
### Méthodes
|
||||
|
||||
Une méthode suit une variable.
|
||||
|
||||
```py
|
||||
variable.methode("Valeur")
|
||||
```
|
||||
136
Semaine_04/Jour_02.md
Normal file
136
Semaine_04/Jour_02.md
Normal file
@@ -0,0 +1,136 @@
|
||||
## Fonctions LAMBDA
|
||||
|
||||
|
||||
|
||||
## Méthodes et fonctions avancées
|
||||
|
||||
### Données déstructurées
|
||||
|
||||
dc_infos = ("Dale", "Cooper", "32")
|
||||
dc_prenom = dc_infos[0]
|
||||
dc_nom = dc_infos[1]
|
||||
dc_age = dc_infos[2]
|
||||
|
||||
dc_prenom, dc_nom, dc_age = dc_infos
|
||||
|
||||
### Surcharge de méthode
|
||||
|
||||
```py
|
||||
range(10) # [0,1,2,3,4,5,6,7,8,9]
|
||||
range(2, 10) # [2,3,4,5,6,7,8,9]
|
||||
range(2, 10, 2) # [2,4,6,8]
|
||||
```
|
||||
|
||||
### A la place de `return` => `yield`
|
||||
|
||||
```py
|
||||
def generator():
|
||||
for i in range(10):
|
||||
return i
|
||||
```
|
||||
|
||||
Renverra [0], `return` étant un arrêt.
|
||||
|
||||
Alors que :
|
||||
|
||||
```py
|
||||
def generator():
|
||||
for i in range(10):
|
||||
yield i
|
||||
```
|
||||
|
||||
Va renvoyer : `<function generator at 0x000002584950E340>`
|
||||
|
||||
### Générateurs
|
||||
|
||||
La fonction `next` permet d'économiser des ressources en mettant en mémoire la fonction et sa position. Par exemple :
|
||||
|
||||
```py
|
||||
def square_generator(n):
|
||||
for i in range(n):
|
||||
yield i ** 2
|
||||
```
|
||||
|
||||
Renverra `<function square_generator at 0x000001351A12E3E0>`. Maintenant, on utilise :
|
||||
|
||||
```py
|
||||
squares = square_generator(10)
|
||||
|
||||
print(next(squares))
|
||||
print(next(squares))
|
||||
print(next(squares))
|
||||
print(next(squares))
|
||||
print(next(squares))
|
||||
print(next(squares))
|
||||
print(next(squares))
|
||||
print(next(squares))
|
||||
```
|
||||
|
||||
Renverra :
|
||||
|
||||
```
|
||||
0
|
||||
1
|
||||
4
|
||||
9
|
||||
16
|
||||
25
|
||||
36
|
||||
49
|
||||
```
|
||||
|
||||
### Return, Yield et Continue
|
||||
|
||||
```py
|
||||
for square in generator:
|
||||
if square > 50: # Si le carré est supérieur à 50, la boucle cesse
|
||||
break
|
||||
if square % 2 == 0: # Si le carré est pair, on le zappe
|
||||
continue
|
||||
print(square)
|
||||
```
|
||||
|
||||
## Format String
|
||||
|
||||
Le classique :
|
||||
|
||||
```py
|
||||
print("La lettre " + variable_str + " apparaît " + variable_int + " fois.")
|
||||
```
|
||||
|
||||
Se remplace bien par :
|
||||
|
||||
```py
|
||||
print(f"La lettre {variable_str} apparaît {variable_int} fois.")
|
||||
```
|
||||
|
||||
Le `%s` c'est un peu démodé face au f-string, franchement.
|
||||
|
||||
## Listes de compréhension
|
||||
|
||||
Pour peupler une liste avec des formules, on peut faire du standard :
|
||||
|
||||
```py
|
||||
liste = []
|
||||
|
||||
for i in range(5)
|
||||
liste.append(i)
|
||||
|
||||
print(liste) # [0, 1, 2, 3, 4]
|
||||
```
|
||||
|
||||
Ou, une liste compréhensive, contenant l'algo de base amenant le résultat :
|
||||
|
||||
```py
|
||||
liste = [i for i in range(5)]
|
||||
|
||||
print(liste) # [0, 1, 2, 3, 4]
|
||||
```
|
||||
|
||||
Et même inclure des conditions :
|
||||
|
||||
```py
|
||||
liste = [i for i in range(5) if i % 2 == 0]
|
||||
|
||||
print(liste) # [0, 2, 4]
|
||||
```
|
||||
54
Semaine_04/Jour_03.md
Normal file
54
Semaine_04/Jour_03.md
Normal file
@@ -0,0 +1,54 @@
|
||||
## Sérialisation, Dé-sérialisation
|
||||
|
||||
Sérialisation => On prend des objets, on transforme en JSON
|
||||
Dé-sérialisation => On prend un JSON, on transforme en objets
|
||||
|
||||
### Exemple de sérialisation
|
||||
|
||||
On prend une liste classique
|
||||
|
||||
```py
|
||||
livres = [{"titre": "1984", "auteur": "Orwell"}, {"titre": "LSDA", "auteur": "Tolkien"}]
|
||||
```
|
||||
|
||||
On peut donc traiter un fichier JSON avec la fonction `open` et le sérialiser avec `dump` :
|
||||
|
||||
```py
|
||||
import json
|
||||
|
||||
livres = [{"titre": "1984", "auteur": "Orwell"}, {"titre": "LSDA", "auteur": "Tolkien"}]
|
||||
|
||||
# file=/path/ , w-rite
|
||||
fichier_json = open("livres.json", "w")
|
||||
json.dump(livres, fichier_json)
|
||||
fichier_json.close()
|
||||
```
|
||||
|
||||
Ou, avec un `Context-Manager` au lieu d'ouvrir et de fermer :
|
||||
|
||||
```py
|
||||
import json
|
||||
|
||||
livres = [{"titre": "1984", "auteur": "Orwell"}, {"titre": "LSDA", "auteur": "Tolkien"}]
|
||||
|
||||
with open("livres.json", "w") as fichier_json:
|
||||
json.dump(livres, fichier_json, indent= 4)
|
||||
```
|
||||
|
||||
### Exemple de dé-sérialisation
|
||||
|
||||
```py
|
||||
import json
|
||||
|
||||
livres = [{"titre": "1984", "auteur": "Orwell"}, {"titre": "LSDA", "auteur": "Tolkien"}]
|
||||
|
||||
with open("livres.json", "w") as fichier_json:
|
||||
objet = json.load(fichier_json)
|
||||
|
||||
print(objet)
|
||||
|
||||
objet.append({"titre": "Alice aux pays", "auteur": "Caroll"})
|
||||
|
||||
with open("livres.json", "w") as fichier_json:
|
||||
json.dump(objet, fichier_json, indent= 4)
|
||||
```
|
||||
Reference in New Issue
Block a user