🔅 Compress Images

from PIL import Image
in_img = 'input.png'
out_img = 'compressed.png' 

# Open the image
with Image.open(in_img) as img:
    # Save the compressed image
    img.save(out_img, 'PNG', quality=80)

print(f"Image compressed successfully!")

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👤 The best free data science learning courses

👨🏻‍💻 I want today I shared with you five of the best free data science learning courses that helped me become a successful data scientist and get a job at Google . 👇🏼

┌ 🏷 CS229: Machine Learning
└ ◼️ LINK

┌ 🏷 MIT: Linear Algebra
└ ◼️ LINK

┌ 🏷 MIT: Introduction to Algorithms
└ ◼️ LINK

┌ 🏷 MIT: Applied Probability
└ ◼️ LINK

┌ 🏷 Stanford: Relational Databases & SQL
└ ◼️ LINK

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DeepFake Detection using Convolutional Neural Networks✅🆕

https://techvidvan.com/tutorials/deepfake-detection-using-cnn/

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🖥 Machine learning tutorials (mainly in Python3)

Machine learning tutorials. A collection of 100+ machine learning lessons written primarily in python.

▪Github: https://github.com/ethen8181/machine-learning

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190+ Python Interview Questions and Answers (2024)

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How to study effectively
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Wireshark is widely regarded as one of the most powerful tools for network monitoring, analysis, and troubleshooting. It provides deep visibility into network traffic, helping professionals identify vulnerabilities, optimize performance, and ensure secure communication across systems.
This comprehensive guide covers key areas such as:

-Traffic Monitoring: Capture and analyze traffic across multiple network interfaces.

-Protocol Support: Work with protocols like TCP, UDP, HTTP, DNS, and more.

-Packet Filtering: Focus on specific network events with advanced filtering techniques.

-Decryption Support: Analyze encrypted traffic when proper keys are available.

-Practical Scenarios: Learn to identify FTP vulnerabilities, detect SQL injections, analyze brute force attacks, and
understand Nmap scanning techniques.
Whether you're managing network operations, securing infrastructure, or debugging applications, Wireshark offers unparalleled insights for better decision-making.
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Python File Methods
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@python_assets

Learn about these tools :) #Tools