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  Cryptocurrency Trading for...

  Matthew Reed

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  If you want to learn how to find the next 100x projects, keep reading!Once Bitcoin broke $60,000 in October 2021, everyone became a cryptocurrency expert overnight. People who had never bought a single coin before in their life began preaching how they had always been crypto enthusiasts. That is fine; it is part of the general hype around this world, contributing to the development of the sector. However, if you want to truly understand what cryptocurrencies are, you need to listen to those who have been operating in crypto when everybody was scared to put a single penny into Bitcoin. That is why I have decided to write this book!I bought my first Bitcoin in 2017, and I have been studying the world of blockchain ever since. I wrote this book to help beginners like you navigate this complicated finance sector. Do not worry. I will not use complicated words or fill your mind with useless information. Everything you will learn in this book has one goal: to help you master cryptocurrencies and become a better investor!I put my heart and soul into this book. Now it is your time to join the financial revolution!Get this audiobook now!

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  Data-Intensive Applications -...

  James Ferry

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  In an era dominated by big data, mastering the art of building and maintaining data-intensive applications is crucial for any technology professional. "Mastering Data-Intensive Applications: Design, Scale, and Optimization" is a comprehensive guide that delves into the architectures, technologies, and practices essential for handling massive datasets efficiently and reliably. 
  This book begins by defining what makes an application data-intensive and explores the key challenges such as scalability, reliability, efficiency, and maintainability. Readers will learn about various storage options—from traditional relational databases to innovative NoSQL solutions—and understand when and how to use them effectively. The discussion extends to data distribution techniques, including partitioning and replication, essential for building fault-tolerant systems that can scale. 
  Further chapters focus on the nuts and bolts of data-intensive operations, including indexing, search, caching, batch and stream processing, and data integration. Each topic is covered with clear explanations, practical examples, and real-world case studies to demonstrate the application of these technologies in today’s leading companies. 
  Security and compliance are not overlooked; the book provides a thorough overview of the necessary practices to keep data secure and applications compliant with global regulations. Additionally, readers are equipped with strategies for scalability and performance tuning, helping them to improve existing systems and build efficient new systems from the ground up. 
  "Mastering Data-Intensive Applications" is an invaluable resource for software engineers, system architects, data scientists, and IT managers. Whether you are looking to deepen your existing knowledge or venturing into the field of data-intensive applications for the first time, this book offers the insights and tools needed to excel in this dynamic field. 
   

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  R Programming - R Data...

  Andy Vickler

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  This book is like a friend who advises and guides you on how to use the ggplot2 package for making data visualizations. With this book, you will learn how to get started with data visualization in R. You will learn basic concepts of graphics, and you will also learn how to perform statistical analyses. 
  This book is for everyone who faces a difficult task when trying to make data visualizations using R. It is also for people who are interested in learning more about statistics and graphical techniques. 
  The book also teaches listeners how to get started with ggplot2, and it also introduces the basics of R so that listeners are aware of the basic commands and functions in R, as well as importing libraries. 
  R has transformed the way statistical modeling approaches are applied, and has become a tool which is commonly used by analysts, programmers and visual artists alike. Its ease of use and flexibility make it an invaluable tool for working with large amounts of data. This book provides you with a comprehensive guide to how R can be used for data visualization. You'll learn how to use the statistical modeling and graphics packages in R, as well as gain an understanding of the principles behind both traditional and modern data visualization techniques. 
  Think of R as a programming language that provides access to the power of machine learning and statistical computing. It's software used by statisticians and data scientists, with its capabilities in statistics, data visualization, machine learning, and more.

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  The New World on Mars - What We...

  Robert Zubrin

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  When Robert Zubrin published his classic book The Case for Mars a quarter century ago, setting foot on the Red Planet seemed a fantasy. Today, manned exploration is certain, and as Zubrin affirms in The New World on Mars, so too is colonization. 
   
   
   
  We will settle on Mars, and with our knowledge of the planet, analyzed in depth by Dr. Zubrin, we will utilize the resources and tackle the challenges that await us. What we will we build? Populous Martian city-states producing air, water, food, power, and more. Zubrin's Martian economy will pay for necessary imports and generate income from varied enterprises, such as real estate sales—homes that are airtight and protect against cosmic space radiation, with fish-farm aquariums positioned overhead, letting in sunlight and blocking cosmic rays while providing fascinating views. Zubrin even predicts the Red Planet customs, social relations, and government that will overcome traditional forms of oppression to draw Earth immigrants. 
   
    
   
  With all of this in place, Zubrin's Red Planet will become a pressure cooker for invention, benefiting humans on Earth, Mars, and beyond. We can create this magnificent future, making life better, less fatalistic. The New World on Mars proves that there is no point killing each other over provinces and limited resources when, together, we can create planets.

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  Data Analysis for Beginners -...

  Daniel Garfield

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  Embark on a transformative journey into the world of data analysis with Daniel Garfield as your guide in "Data Analysis for Beginners." In this comprehensive and accessible guide, Daniel demystifies the complexities of data analysis, making it an engaging and empowering experience for readers at all skill levels. 
  Have you ever wondered how data can drive decision-making in business, science, or everyday life? Daniel begins by introducing the fundamental concepts of data analysis, breaking down the barriers that often intimidate beginners. From the basics of statistical analysis to the application of machine learning, Daniel ensures that every reader can grasp the essentials. 
  Discover the tools of the trade, from familiar ones like Excel to more powerful platforms like Python and R. Learn the art of collecting and organizing data, recognizing the importance of clean and structured datasets. Through hands-on examples, Daniel walks you through the steps of setting up your data environment, empowering you to tackle your own data challenges. 
  Uncover the power of exploratory data analysis (EDA) as you dive into the world of data visualization, identifying patterns and trends that lie hidden in your datasets. Daniel emphasizes practical applications, providing insights into how businesses leverage machine learning and guiding you through the process of building your first data analysis project. 
  "Data Analysis for Beginners" is your key to unlocking the secrets hidden within the numbers. With Daniel Garfield as your mentor, embark on a journey that will transform the way you see and interpret data. Start your data analysis adventure today!

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  On the Boardwalk

  Martin Sherman

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  A memoir from the writer of BENT with a foreword by Ian McKellen
  Sherman takes us on a journey through America in the mid twentieth century, starting in New Jersey – where he was born in the 1930s to a Jewish immigrant family – ending on Broadway with the premier of his seminal play Bent starring Richard Gere. On route, we encounter other famous performers including Meryl Streep, Bee Gees, Joan Baez, but the scene-stealing character is always his father – a charismatic narcissist who might have given Trump a run for his money. We stop off in Woodstock, Los Angeles and London – a city Martin would eventually make home; he relays his story with self-depreciating humour as he struggles to make it in theatre, with his sexuality, and under the shadow of the inheritable disease that killed his mother tragically early – a disease from which he finds himself finally free, as he turns forty in the book's closing pages.
  
  "As in his plays, Martin Sherman writes here of complexity with simplicity, of the hidden with utter candour. A fascinating and brilliant example of what a memoir ought to be."—ALAN CUMMING
  "Most shove childhood memories into the recesses of forgetfulness, while others gather each detail like colours in a paint box and use them to create. We call those folks artists. Martin Sherman is such a creature. Within these pages you will find his painterly application of memories, fashioning a masterwork of experiences for us to enjoy."—HARVEY FIERSTEIN
  "Absolutely mesmerising and so fantastically well written that I wish Martin Sherman had written novels as well as plays and screenplays"—STEPHEN FRY
  "Completely absorbing and funny and sad and beautifully told—a real treat and an extraordinary story—what a life."—IAN HISLOP
  "One Hell of a ride. Profound, witty, beautifully written and difficult to forget."—HUGH JACKMAN
  "This memoir is astounding. I'm reading it a second time."—VANESSA REDGRAVE
  "A volume filled with moving, entertaining and fascinating memories, by one of our great stage and screen writers."—PETER TATCHELL
  "On the Boardwalk is full of audacity and joyfulness, jokes and tears, it blew my mind, as it will blow yours." – PETE TOWNSHEND
  "He writes like Philip Roth—but even funnier."—RUBY WAX

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