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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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Philip Kotler (Chicago, IL) is the father of modern marketing and the S. C. Johnson and Son Distinguished Professor of International Marketing at Northwestern University's Kellogg Graduate School of Management, one of the definitive marketing programs in the world. Kotler is the author of twenty books and a consultant to nonprofit organizations and leading corporations such as IBM, General Electric, Bank of America, and AT&T.
The book delves into the structure and distinctions between the primary Python object and iterable objects. The iterable types, namely, lists and tuples, have been thoroughly defined in the structure and operations. The internals of sets and dictionaries, which are data structures that provide O(1) insertion and search, have been thoroughly discussed. Memory allocation explains how Python handles memory for tiny and large objects.
Key Features
● Covers methods to streamlining project completion and optimising budgets.
● Includes techniques for resolving business problems and optimising EVM.
● Examines project crashing strategies, linear programming solutions, and the Solver tool.
Key Features
● Get familiar with all the state-of-the-art classification algorithms for machine learning.
● Understand the mathematical foundations behind building machine learning models.
● Learn how to apply machine learning models to solve real-world industry problems.