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Acupressure - Prakritik Upchar: Discover the Power of DIY Healing with Dr. Attar Singh's Book
With simple techniques and easy-to-follow instructions, this book empowers individuals to cure numerous ailments by simply applying pressure to specific acupressure points on the hands and feet. Featuring vivid diagrams charts for enhanced understanding, Dr. Attar Singh's.
Buy Veda Set of 8 Books: Sam, Rig, Yajur & Atharva Ved Sanhita by Pandit Shriram Sharma Acharya
The Veda Set of 8 Books by Pandit Shriram Sharma Acharya is a comprehensive collection that brings together the four major Vedas—Rigveda, Samaveda, Yajurveda, and Atharvaveda—in their original Samhitas (the foundational texts of Vedic knowledge).
Pandit Shriram Sharma Acharya, one of the most revered spiritual and scholarly figures of the 20th century, meticulously compiled and translated these ancient texts for contemporary readers, preserving their purity and essence while offering deep insights into their relevance today. The Veda Set of 8 Books serves as an invaluable resource for scholars, spiritual seekers, and anyone interested in exploring the rich heritage of Vedic knowledge.
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Just Invest and become Insanely Wealthy! is a book for action takers. The content inside is the gold standard for those who seek to learn to invest in various asset classes through intuitive, common-sensical ways. This book is as much for people who hate numbers and complexity as it is for the finance geeks, as it gives a fresh perspective on visual, systematic and intuitive investing across asset classes. Whether you like equity, real estate, gold, debt, angel investing or crowd financing, this book will teach you how you can win across asset classes. No matter how many investment books you have read, this is a must-read.
Buy Archaeological Remains of Kapili-Jamuna Valley Assam by Nabajit Deori
Habits to Transform Your Life How to Finish Everything You Start is just the book you need to get more done!
TinyML is an innovative technology that empowers small and resource-constrained edge devices with the capabilities of machine learning. If you're interested in deploying machine learning models directly on microcontrollers, single board computers, or mobile phones without relying on continuous cloud connectivity, this book is an ideal resource for you.