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  Python Data Analysis for...

  Brian Murray

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  Python Data Analysis for Beginners: A Beginner's Handbook to Exploring and Visualizing Data is a comprehensive guide designed to help readers master the fundamentals of data analysis using the Python programming language. Whether you're a beginner looking to get started with data analysis, or a professional looking to expand your skill set, this book provides a step-by-step approach to exploring and visualizing data with Python. 
  The book starts with an introduction to Python programming language and its essential libraries for data analysis. Readers will learn how to manipulate and transform data using Pandas library, and how to create visualizations using Matplotlib and Seaborn libraries. The book also covers exploratory data analysis (EDA) techniques using Python, including data preprocessing and visualization techniques. 
  In addition, the book introduces readers to machine learning concepts and provides an overview of supervised and unsupervised learning using Python. The book includes several case studies and real-world applications of data analysis using Python, including analyzing and visualizing social media data, financial data, and healthcare data. 
  Written in a clear and concise language, Python Data Analysis for Beginners provides readers with a solid foundation in data analysis using Python. The book is suitable for self-learners, as well as instructors teaching data analysis to students. With its step-by-step approach and real-world examples, this book is an essential resource for anyone looking to master data analysis with Python. 
   

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  The Things We Make - The Unknown...

  Bill Hammack

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  Discover the secret method used to build the world . . . 
   
   
   
  For millennia, humans have used one simple method to solve problems. Whether it's planting crops, building skyscrapers, developing photographs, or designing the first microchip, all creators follow the same steps to engineer progress. But this powerful method, the "engineering method", is an all but hidden process that few of us have heard of—let alone understand—but that influences every aspect of our lives. 
   
   
   
  Bill Hammack, a Carl Sagan Award–winning professor of engineering and viral "The Engineer Guy" on YouTube, has a lifelong passion for the things we make, and how we make them. Now, for the first time, he reveals the invisible method behind every invention and takes us on a whirlwind tour of how humans built the world we know today. From the grand stone arches of medieval cathedrals to the mundane modern soda can, Hammack explains the golden rule of thumb that underlies every new building technique, every technological advancement, and every creative solution that leads us one step closer to a better, more functional world. Spanning centuries and cultures, Hammack offers a fascinating perspective on how humans engineer solutions in a world full of problems.

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  Vanishing Life on Earth

  Bimalendu B. Nath

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  The book is an abridged story of life that we see now and the life forms that 
  existed in the past. Readers can flip through pages of the planet's 
  history and explore the secrets hidden in the fossils scattered across forgotten landscapes. 
  The species we see today are only a tiny fraction of all those that 
  have ever lived on Earth. Most of the species have vanished throughout the Earth's history. 
  The author intersected at five major extinction episodes and narrated 
  selected stories of the lost world while highlighting life's journey on our plants —from tiny 
  microorganisms to massive dinosaurs, mammoths and mastodons, ultimately leading up to humans. 
  Unfortunately, we're now facing a critical moment when Earth’s biodiversity is at risk of being wiped out entirely, 
  and our planet may stop breathing one day. This prompts readers to reflect on what we have done to bring life's 
  diversity to such a vulnerable state. The author concludes the book with future perspectives on how we all can stop the next mass extinction.

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  Deep Learning for Beginners: 2 in 1

  Steven Cooper

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  2 books in 1! This is the bundle of two successful books in the market.Book 1: In "Deep Learning for Beginners: A comprehensive introduction of deep learning fundamentals for beginners to understanding frameworks, neural networks, large datasets, and creative applications with ease" you will learn:•	Deep learning utilizes frameworks which allow people to develop tools which are able to offer better abstraction, along with simplification of hard programming issues. •	The book illustrates TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook. •	The book considers several components and tools of deep learning such as the neural networks; CNNs, RNNs, GANs, and auto-encoders. •	The book also considers several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivity.•	And much more...Book 2: In "Data Science from Scratch: The #1 Data Science Guide for Everything A Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees" you will learn:•	In depth information about what data science is and why it is important.•	The prerequisites you will need to get started in data science.•	What it means to be a data scientist.•	The roles that hacking and coding play in data science.•	The different coding languages that can be used in data science.•	Why python is so important.•	How to use linear algebra and statistics.•	The different applications for data science.•	How to work with the data through munging and cleaning•	And much more...Get your copy of these fantastic guides to master state-of-the-art, deep learning algorithms and their implementation!

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  Time Traveler - A Scientist’s...

  Dr. Ronald L. Mallett, Bruce...

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  This is the dramatic and inspirational first-person story of theoretical physicist, Dr. Ronald Mallett, who recently discovered the basic equations for a working time machine that he believes can be used as a transport vehicle to the past. Combining elements of Rocket Boys and Elegant Universe, Time Traveler follows Mallett's discovery of Einstein's work on space-time, his study of Godel's work on a solution of Einstein's equation that might allow for time travel, and his own research in theoretical physics spanning thirty years that culminated in his recent discovery of the effects of circulating laser light and its application to time travel. The foundation for Mallett's historic time-travel work is Einstein's theory of general relativity, a sound platform for any physicist. Through his years of reading and studying Einstein, Mallett became a buff well before he had any notion of the importance of the grand old relativist's theories to his own career. One interesting subtext to the story is Mallett's identification with, and keen interest in, Einstein. Mallett provides easy-to-understand explanations of the famous physicist's seminal work.

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  Quantum Mechanics for Beginners...

  SAM CAMPBELL

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  Dive into the mesmerizing world of quantum mechanics with "Quantum Mechanics". This accessible and comprehensive book takes you on a captivating journey through the fundamental principles that govern the behavior of particles at the tiniest scales. 
  In the opening chapters, discover the revolutionary origins of quantum mechanics, encountering concepts like wave-particle duality and the double-slit experiment that challenge our conventional understanding of reality. Explore the fascinating phenomenon of quantum superposition, where particles can exist in multiple states simultaneously, setting the stage for the mind-bending nature of the quantum world. 
  Delve into the intricacies of quantum states, wavefunctions, and the uncertainty principle, gaining insight into the mathematical tools that physicists employ to describe the quantum realm. Unravel the mysteries of quantum entanglement, a phenomenon that links particles across space in ways that defy classical intuition, and explore the implications of Bell's theorem and quantum teleportation. 
  Schrödinger's cat takes center stage as we examine the paradoxical nature of quantum measurement, discussing the collapse of the wavefunction and the concept of quantum decoherence. Throughout the book, various interpretations of quantum mechanics are explored, from the Many-Worlds Interpretation to the Copenhagen Interpretation and beyond. 
  "Quantum Mechanics" is more than a guide; it's an invitation to embrace the wonder and mystery of the quantum realm. Whether you're a curious beginner or someone seeking a deeper understanding, this book provides a solid foundation for navigating the intricacies of quantum mechanics. Prepare to be intrigued, challenged, and inspired as you embark on this adventure into the heart of the quantum universe. 
   

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