Learn how to  secure your Wi-Fi like a pro with Python! This script helps you list  connected devices, change your Wi-Fi password, and block unwanted  devices using their MAC addresses.
#پایتون #python
🆔 @Python4all_pro
#پایتون #python
🆔 @Python4all_pro
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  🖥 NocoDB 
NoCodb is a database without an open source with an open source, which turns any relational database (MySQL, PostgreSQL, SQLITE, MSSQL, etc.) into a flexible table similar to airtable!
🌟 It allows users to manage data using a convenient web interface, create a REST API, configure representations (tables, calendars, kanban dosks) and integrate with external services.
🔐 License: AGPL-3.0
🖥 Github
#علم_داده
🆔 @Python4all_pro
  NoCodb is a database without an open source with an open source, which turns any relational database (MySQL, PostgreSQL, SQLITE, MSSQL, etc.) into a flexible table similar to airtable!
🌟 It allows users to manage data using a convenient web interface, create a REST API, configure representations (tables, calendars, kanban dosks) and integrate with external services.
🔐 License: AGPL-3.0
🖥 Github
#علم_داده
🆔 @Python4all_pro
100 Python Programs for Beginner with explanation
https://pythonclcoding.gumroad.com/l/qijrws
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https://pythonclcoding.gumroad.com/l/qijrws
🆔 @Python4all_pro
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  25 Github Repositories Every #Python Developer Should Know
https://www.clcoding.com/2025/02/25-github-repositories-every-python.html
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https://www.clcoding.com/2025/02/25-github-repositories-every-python.html
🆔 @Python4all_pro
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  برای آشنایی با الگوریتم های ساده و پیچیده پایتون این ریپو را ببینید هر الگوریتمی بخواهید اینجا هست
https://github.com/TheAlgorithms/Python
#Python #DataScience
#MachineLearning #AI
🆔 @Python4all_pro
  
  https://github.com/TheAlgorithms/Python
#Python #DataScience
#MachineLearning #AI
🆔 @Python4all_pro
GitHub
  
  GitHub - TheAlgorithms/Python: All Algorithms implemented in Python
  All Algorithms implemented in Python. Contribute to TheAlgorithms/Python development by creating an account on GitHub.
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  Automatically Generate Image CAPTCHAs with Python for Enhanced Security
#Python #DataScience
#MachineLearning #AI
🆔 @Python4all_pro
#Python #DataScience
#MachineLearning #AI
🆔 @Python4all_pro
❤2🔥1
  A python tool that uses GPT-4, FFmpeg, and OpenCV to automatically analyze videos, extract the most interesting sections, and crop them for an improved viewing experience.
Helps you generate YouTube Shorts from long videos by leveraging Whisper for transcription and GPT-4 for highlight extraction and vertical cropping.
What it offers:
→ Downloads videos directly from YouTube URLs.
→ Transcribes video content using Whisper for accurate text representation.
→ Extracts engaging highlights from transcriptions using GPT-4, identifying key moments.
→ Detects speakers within the video content.
→ Crops video highlights vertically, optimizing them for YouTube Shorts format.
https://github. com/SamurAIGPT/AI-Youtube-Shorts-Generator
🆔 @Python4all_pro
Helps you generate YouTube Shorts from long videos by leveraging Whisper for transcription and GPT-4 for highlight extraction and vertical cropping.
What it offers:
→ Downloads videos directly from YouTube URLs.
→ Transcribes video content using Whisper for accurate text representation.
→ Extracts engaging highlights from transcriptions using GPT-4, identifying key moments.
→ Detects speakers within the video content.
→ Crops video highlights vertically, optimizing them for YouTube Shorts format.
https://github. com/SamurAIGPT/AI-Youtube-Shorts-Generator
🆔 @Python4all_pro
❤1
  Jupyter Notebooks to visualize various topics in Linear Algebra
https://github.com/fastai/numerical-linear-algebra?tab=readme-ov-file
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https://github.com/fastai/numerical-linear-algebra?tab=readme-ov-file
🆔 @Python4all_pro
❤1
  یک فانکشن کاربردی برای پاکسازی کامل RAM سیستم و GPU VRAM از آبجکتهایی که در ادامهی کد بهشون نیازی ندارین و مشاهدهی فضای اشغالشدهی GPU.
🆔 @Python4all_pro
import gc
import time
def clear_memory():
# Delete variables if they exist in the current global scope
if "inputs" in globals():
del globals()["inputs"]
if "model" in globals():
del globals()["model"]
if "processor" in globals():
del globals()["processor"]
if "trainer" in globals():
del globals()["trainer"]
if "peft_model" in globals():
del globals()["peft_model"]
if "bnb_config" in globals():
del globals()["bnb_config"]
time.sleep(2)
# Garbage collection and clearing CUDA memory
gc.collect()
time.sleep(2)
torch.cuda.empty_cache()
torch.cuda.synchronize()
time.sleep(2)
gc.collect()
time.sleep(2)
print(f"GPU allocated memory: {torch.cuda.memory_allocated() / 1024**3:.2f} GB")
print(f"GPU reserved memory: {torch.cuda.memory_reserved() / 1024**3:.2f} GB")
clear_memory()
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