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The difference between how HTTP1 handles multiple requests vs how HTTP2 handles the same 😁

👉 In HTTP1, the browser (or any client) needs to establish a new connection with the server for each file it needs to get. This establishment includes the TLS handshake, where server and client exchange secure keys for encrypting the communication.

👉 In HTTP2, this is optimised. The browser can establish a single connection, and make multiple requests through the same connection, in series (one after the another).

This is well suited for web application kind of workloads, where the browser would first get the index.html, and then may want to fetch the scripts and styles that are embedded in them.

⭕️ Data science learning roadmap in 2024
📂 with all videos, projects, books and pamphlets

👨🏻‍💻 Krish Naik, one of the famous Indian data scientists, with more than 845 thousand users on his YouTube channel , has published a comprehensive roadmap for learning data science in the new year.

🔷 This roadmap is excellent for all those who are planning to start learning data science or are experienced in this field and want to get acquainted with the latest training in this field.👌🏼

✅ This comprehensive roadmap includes learning from scratch Python, machine learning, deep learning, MLOPS, LLM, Generative AI and many other things.


┌ 🏷 Data Science Perfect Roadmap
└ 📝 Roadmap To Learn Data Science 2024

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🔅 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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