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python-scr
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maxime
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f37bb67a26 |
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.gitignore
vendored
10
.gitignore
vendored
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# Environments
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venv/
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.venv/
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/pyvenv.cfg
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.python-version
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# Media
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media/
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downloaded_images
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downloaded_videos
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## introduction
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```
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variables
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list --> bisous.py programming.py
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input --> bisous.py
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print
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for loop --> bisous.py
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conditional statements if/else/elif --> bisous.py
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break --> bisous.py
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while loop --> missing.py
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dictionary
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enumerate
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return --> missing.py
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random --> programming.py
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function --> missing.py
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```
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# Initialiser les variables
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queer = "mon amour"
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bisous = ["ma biche", "mom bébé", "mon amour", "mon chéri.e"]
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# Demander une saisie à l'utilisateur
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amoureuxse = input("Entrez le nom de votre bien-aiméx : ")
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# Boucler à travers la liste et imprimer le message correspondant
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for bisou in bisous:
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if bisou == queer:
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print("bisou pour toi", bisou, amoureuxse)
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elif amoureuxse == "python":
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print("on dirait un.e geek")
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break
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else:
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print(f":* :* {bisou}, {amoureuxse}")
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from time import sleep
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love = True
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how = "so"
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def missing(so):
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print(f"I miss you {so} much")
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while love:
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missing(how)
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how += " so"
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sleep(0.2)
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"""
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poem converted from bash programming.sh by Winnie Soon, modified from The House of Dust, 1967 Alison Knowles and James Tenney
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"""
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import random
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import time
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# listes for different elements
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kisses = ["DEAREST", "SWEETHEART", "WORLD", "DARLING", "BABY", "LOVE", "MONKEY", "SUGAR", "LITTLE PRINCE"]
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material = ["SAND", "DUST", "LEAVES", "PAPER", "TIN", "ROOTS", "BRICK", "STONE", "DISCARDED CLOTHING", "GLASS", "STEEL", "PLASTIC", "MUD", "BROKEN DISHES", "WOOD", "STRAW", "WEEDS", "FOREST"]
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location = ["IN A GREEN, MOSSY TERRAIN", "IN AN OVERPOPULATED AREA", "BY THE SEA", "BY AN ABANDONED LAKE", "IN A DESERTED FACTORY", "IN DENSE WOODS", "IN JAPAN", "AMONG SMALL HILLS", "IN SOUTHERN FRANCE", "AMONG HIGH MOUNTAINS", "ON AN ISLAND", "IN A COLD, WINDY CLIMATE", "IN A PLACE WITH BOTH HEAVY RAIN AND BRIGHT SUN", "IN A DESERTED AIRPORT", "IN A HOT CLIMATE", "INSIDE A MOUNTAIN", "ON THE SEA", "IN MICHIGAN", "IN HEAVY JUNGLE UNDERGROWTH", "BY A RIVER", "AMONG OTHER HOUSES", "IN A DESERTED CHURCH", "IN A METROPOLIS", "UNDERWATER", "ON THE SCREEN", "ON THE ROAD"]
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light_source = ["CANDLES", "ALL AVAILABLE LIGHTING", "ELECTRICITY", "NATURAL LIGHT", "LEDS", "MOON LIGHT", "THE SMALL TORCH"]
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inhabitants = ["PEOPLE WHO SLEEP VERY LITTLE", "VEGETARIANS", "HORSES AND BIRDS", "PEOPLE SPEAKING MANY LANGUAGES WEARING LITTLE OR NO CLOTHING", "CHILDREN AND OLD PEOPLE", "VARIOUS BIRDS AND FISH", "LOVERS", "PEOPLE WHO ENJOY EATING TOGETHER", "PEOPLE WHO EAT A GREAT DEAL", "COLLECTORS OF ALL TYPES", "FRIENDS AND ENEMIES", "PEOPLE WHO SLEEP ALMOST ALL THE TIME", "VERY TALL PEOPLE", "AMERICAN INDIANS", "LITTLE BOYS", "PEOPLE FROM MANY WALKS OF LIFE", "FRIENDS", "FRENCH AND GERMAN SPEAKING PEOPLE", "FISHERMEN AND FAMILIES", "PEOPLE WHO LOVE TO READ", "CHEERFUL KIDS", "QUEER LOVERS", "NAUGHTY MONKEYS", "KIDDOS"]
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# Infinite loop
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while True:
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print("HELLO", random.choice(kisses))
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print(" A TERMINAL OF BLACK", random.choice(material))
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print(" ", random.choice(location))
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print(" PROGRAMMING", random.choice(light_source))
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print(" KISSED BY", random.choice(inhabitants))
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print(" ")
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# Delay for 3.5 seconds
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time.sleep(3.5)
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## Un script qui extrait des images depuis une URL donnée
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Nous devons installer:
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```
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pip install requests beautifulsoup4 tldextract
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```
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Exécutez le script avec :
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```
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python get_images.py https://www.freepik.com/images
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```
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Remplacez l’URL par le lien que vous souhaitez extraire.
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**Remarque:** Le scraping doit être effectué de manière éthique, en respectant les règles du fichier robots.txt et les conditions d'utilisation du site.
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import requests
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import time
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from bs4 import BeautifulSoup
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from urllib.parse import urlparse
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import os
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import sys
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import tldextract
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# URL of the webpage with images
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input_url = sys.argv[1]
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# extract full domain
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def split_domain_or_subdomain_and_path(url):
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# Parse the URL
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parsed_url = urlparse(url)
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extracted = tldextract.extract(url)
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# Build the full domain, including subdomain if present
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if extracted.subdomain:
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full_domain = f"{extracted.subdomain}.{extracted.domain}.{extracted.suffix}"
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else:
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full_domain = f"{extracted.domain}.{extracted.suffix}"
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return "https://" + full_domain
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full_domain = split_domain_or_subdomain_and_path(input_url)
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print(f"Domain/Subdomain: {full_domain}")
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# Folder to save images
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save_folder = "downloaded_images"
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if not os.path.exists(save_folder):
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os.makedirs(save_folder)
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# Send GET request to the page
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response = requests.get(input_url)
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if response.status_code == 200:
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# Parse the HTML content with BeautifulSoup
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soup = BeautifulSoup(response.text, 'html.parser')
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# Find all image tags
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images = soup.find_all('img')
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# Loop through image tags
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for idx, img in enumerate(images):
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img_url = img.get('src')
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# Check if img_url is complete; if not, adjust it accordingly
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if not img_url.startswith("http"):
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img_url = full_domain + "/" + img_url
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try:
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# Send request to the image URL
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img_data = requests.get(img_url).content
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# Define file name and path
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img_name = os.path.join(save_folder, f"image_{idx}.jpg")
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# Write image data to file
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with open(img_name, 'wb') as handler:
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handler.write(img_data)
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print(f"Downloaded {img_name}")
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time.sleep(1)
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except Exception as e:
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print(f"Failed to download {img_url}. Error: {e}")
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else:
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print("Failed to retrieve the page.")
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