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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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| The Comfort Book is a collection of consolations learned in hard times and suggestions for making the bad days better. Drawing on maxims, memoir and the inspirational lives of others, these meditations offer new ways of seeing ourselves and the world. |
| Tom Hazard has a dangerous secret. He may look like an ordinary 41-year-old history teacher, but he’s been alive for centuries. |
Maybe you're reading this because you're nervous you're not living your life in alignment with who you are, it's driving you a little bit mad, and you so desperately want to do something about it.
Celebrating Failure is the definitive how-to manual for leaders seeking to embrace the power of failure as a learning tool to improve their organizations and achieve ever-greater goals.
Develop strong grip on the fundamentals of Image Processing and Image Manipulation. Solve popular Image Processing problems using Machine Learning and Deep Learning models. Working knowledge on Python libraries including numpy, scipy and scikit-image. Use popular Python Machine Learning packages such as scikit-learn, Keras and pytorch. Live implementation of Facial Image Processing techniques such as Face Detection / Recognition / Parsing dlib and MTCNN