CART

Data Science from Scratch: First Principles with Python, 2nd Edition By: Joel Grus | Shroff/O'Reilly

20% off
1,260.00 MRP ₹1,575.00

Delivery

Check
Delivery by 

📦 Product Details:

  • Book Title: Data Science from Scratch

  • Author: Joel Grus

  • Publisher: Shroff/O'Reilly

  • Language: English

  • Edition: 2nd Edition

  • Format: Paperback

  • MRP: ₹1575

  • ISBN: 9789352138326

  • Ideal for: Beginners in Data Science, Python developers, analysts

"Data Science from Scratch: First Principles with Python" (2nd Edition) by Joel Grus is a hands-on guide that teaches the core concepts and techniques of data science using Python, from the ground up.

Published by Shroff/O'Reilly, this book is ideal for self-learners, developers, and analysts aiming to build a strong foundation in data science. You’ll explore statistics, probability, machine learning, linear algebra, data visualization, and more—by building the tools yourself in Python.

This updated edition includes modern practices, updated libraries, and deeper insights into real-world problems and data workflows.


🔍 Key Features:

  • 🧑‍💻 No prior experience needed—built from scratch using Python

  • 📊 Covers machine learning, statistics, probability, data visualization

  • 🔍 Includes practical Python code examples and exercises

  • 🧠 Builds core concepts using first principles

  • 📚 Ideal for self-learners and aspiring data scientists

Style

Paperback

  • Title: Data Science from Scratch: First Principles with Python (2nd Edition)

  • Author/Publisher: Joel Grus / Shroff Publishers & Distributors Pvt. Ltd.

  • Language: English

  • MRP: ₹1575 (Inclusive of all taxes)

  • ISBN: 9789352138326

  • Country of Origin: India

  • Sold & Marketed by:
    Lucky Book Store
    U-3/4, Maher Park-B, Opp. Vanita Vishram Ground,
    Athwagate, Surat – 395001

  • Customer Care: +91-9687543399

📌 Shipping & Returns Policy:
🚚 Ships within 1–2 working days
📦 Delivery time: 3–7 business days PAN India
🔁 Return accepted within 3 days for damaged or incorrect product (if unused)

Track Your Order