maj141124

.gitignore

@@ -1,10 +0,0 @@
-# Environments
-venv/
-.venv/
-/pyvenv.cfg
-.python-version
-
-# Media
-media/
-downloaded_images
-downloaded_videos

README.md

@@ -1,5 +1,4 @@
 # git repo for art num
-
 *the wiki will be updated with more information and usefull snipet. fell free to contribute*
 
 test port ssh 

python/scrape/README.md

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-## A script that scrapes images from a given URL
-we need to use the requests and BeautifulSoup libraries to retrieve and parse the HTML content. `os` and `shutil` are helpful for managing files and saving the images. Scraping should be done ethically, following the website's robots.txt rules and terms of service.
-
-```
-pip install requests beautifulsoup4 tldextract
-
-```
-
-Run the script with:
-```
-python cyberfeminist_images.py
-```

python/scrape/get_images.py

@@ -1,66 +0,0 @@
-import requests
-import time
-from bs4 import BeautifulSoup
-from urllib.parse import urlparse
-import os
-import sys
-import tldextract
-
-# URL of the webpage with images
-input_url = sys.argv[1] 
-
-# extract full domain
-def split_domain_or_subdomain_and_path(url):
-    # Parse the URL
-    parsed_url = urlparse(url)
-    extracted = tldextract.extract(url)
-    
-    # Build the full domain, including subdomain if present
-    if extracted.subdomain:
-        full_domain = f"{extracted.subdomain}.{extracted.domain}.{extracted.suffix}"
-    else:
-        full_domain = f"{extracted.domain}.{extracted.suffix}"
-    
-    return "https://" + full_domain
-
-full_domain = split_domain_or_subdomain_and_path(input_url)
-print(f"Domain/Subdomain: {full_domain}")
-
-# Folder to save images
-save_folder = "downloaded_images"
-if not os.path.exists(save_folder):
-    os.makedirs(save_folder)
-
-# Send GET request to the page
-response = requests.get(input_url)
-if response.status_code == 200:
-    # Parse the HTML content with BeautifulSoup
-    soup = BeautifulSoup(response.text, 'html.parser')
-
-    # Find all image tags
-    images = soup.find_all('img')
-
-    # Loop through image tags
-    for idx, img in enumerate(images):
-        img_url = img.get('src')
-        
-        # Check if img_url is complete; if not, adjust it accordingly
-        if not img_url.startswith("http"):
-            img_url = full_domain + "/" + img_url
-
-        try:
-            # Send request to the image URL
-            img_data = requests.get(img_url).content
-            # Define file name and path
-            img_name = os.path.join(save_folder, f"image_{idx}.jpg")
-            # Write image data to file
-            with open(img_name, 'wb') as handler:
-                handler.write(img_data)
-
-            print(f"Downloaded {img_name}")
-            time.sleep(1)
-        
-        except Exception as e:
-            print(f"Failed to download {img_url}. Error: {e}")
-else:
-    print("Failed to retrieve the page.")

references/python_arti_ref_mara.md

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+# artistic ref : usage de python
+
+## [Computational Poems : Les deux, Nick Montfort](https://nickm.com/2/les_deux.html) 
+
+  - US digital artist / chercheur
+  - générateur de poème online dynamique (javascript)
+  - poème multilangue (fr, esp, cn) => dispositif de traduction (js)
+    
+## [The Great Netfix, *Ritasdatter & Gansing*](http://netflix.lnd4.net/)
+*a video store after the end of the world*
+
+- notion de de-clouding : proposition speculative de redistribution de la “cloub-base” contemporaine
+- activité de **scraping** de film Netflix via VPN (utilitaire de deplacement immatérielle de la localisation du client) & enregistrement **VHS**
+- dispositif rspi (WLAN) - tape recorder VHS
+
+## [Videogrep, *Sam Lavigne* (2014)](https://antiboredom.github.io/videogrep/)
+
+- python script that searches through dialog on videos and combine then in a flesh video
+- e.g : condense toute les itération d’une expression d’une video originale
+
+- visibilisation de normalisation d’usage de stratégie marketing (element de langage) dans contexte politique -partisant-
+  
+- commande ligne tool / python module en libre acces sur archive github du project
+  ```videogrep -- input path/to/vid.mp4 --search 'search phrase'```
+
+## [Unerasable Characters, *Winnie Soon*](https://calls.ars.electronica.art/2023/prix/winners/7149/)
+Prix Ars Electronica, 2023
+
+- scraping data censurées/suprimées from Weibo (chinese social media == twitter)
+- dispersion des ideogram dans matrice lumineuse physique
+- concatenation de l’ensemble des caractère par machine learning (Tensor Flow) pour republication sur source (Weibo) et production d’une édition physique