Outros livros que poderiam interessá-lo

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  Slicing Pizzas Racing Turtles...

  Robert B. Banks

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  “Banks turns trivial questions into mind-expanding demonstrations of the magical powers of mathematics. . . . generously garnished with his unpredictable wit.” —Booklist 
   
  Have you ever daydreamed about digging a hole to the other side of the world? Robert Banks not only entertains such ideas but supplies the mathematical know-how to turn fantasies into problem-solving adventures. Now the author of Towing Icebergs, Falling Dominoes, and Further Adventures in Applied Mathematics presents another collection of puzzles to sharpen your thinking and mathematical skills. 
   
  The problems range from the wondrous to the eminently practical: What’s the total number of people who’ve lived on Earth? How do you get the most pizza slices with the least number of cuts? To go from point A to point B in a downpour, should you walk slowly, jog moderately, or run as fast as possible to get least wet? What is the length of the seam on a baseball? If all the ice in the world melted, what would happen to Florida, the Mississippi River, and Niagara Falls? Why do snowflakes have six sides? 
   
  Covering a broad range of fields from geography and environmental studies to map- and flag-making, Banks uses mostly basic algebra and geometry to solve problems. And if famous scientists have also pondered these questions, he shares the historical details with the reader. 
   
  “[Banks displays] a playful imagination and love of the fantastic that one would not ordinarily associate with a mathematical engineer. . . . entertaining.” —The Christian Science Monitor

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  AIOps - Automating IT Operations...

  Sam Miley

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  In an era where IT environments are growing more complex and dynamic, traditional monitoring and management approaches can no longer keep up. AIOps: Automating IT Operations with Artificial Intelligence explores how artificial intelligence and machine learning are revolutionizing the way organizations manage, optimize, and future-proof their IT operations. 
  This book offers a practical and strategic introduction to AIOps (Artificial Intelligence for IT Operations), providing readers with a deep understanding of how AI-driven tools can detect anomalies, predict outages, automate root cause analysis, and deliver real-time insights across hybrid infrastructures. From reducing noise in alert systems to enabling proactive incident resolution, AIOps empowers IT teams to shift from reactive firefighting to intelligent, automated operations. 
  This guide helps you harness the full potential of AIOps to improve system reliability, accelerate response times, and enhance business agility. 
   

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  Robotics and Automation -...

  Craig Dames

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  Robotics and automation have rapidly evolved from niche technological concepts to central pillars of modern industry and society. What once belonged to the realm of science fiction is now an integral part of how we produce, communicate, transport, and even care for one another. Understanding the foundations of these technologies is essential to grasp how they are reshaping the future of work. 
  The journey of robotics dates back to ancient times with early mechanical inventions, but it wasn’t until the 20th century that programmable machines began to take shape. The term "robot" gained popularity in the early 1920s, yet the real development of industrial robotics didn’t gain momentum until the 1960s, when the first robotic arms were introduced into assembly lines. Since then, robotics has grown exponentially, encompassing everything from humanoid robots to autonomous drones and AI-driven service machines. 
  Automation, often linked closely with robotics, refers to the use of technology to perform tasks with minimal human intervention. While automation began with simple mechanical devices, today it incorporates advanced software, machine learning algorithms, and sensor networks. Modern automation extends beyond factories and is now seen in financial services, healthcare, logistics, agriculture, and even our homes. From smart thermostats to self-checkout systems, the influence of automation is becoming ever more visible in daily life.

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  Chaos and Nonlinear Dynamics -...

  Mark Hedges

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  Chaos and nonlinear dynamics are fundamental concepts in understanding the behavior of complex systems. Unlike linear systems, which exhibit proportionality and predictability, nonlinear systems often display unexpected, highly sensitive, and seemingly random behaviors. This unpredictability, despite being governed by deterministic rules, is the hallmark of chaos theory. 
  The study of chaos and nonlinear dynamics has evolved over centuries, but it gained prominence in the 20th century with the advent of modern computing. One of the most well-known figures in this field is Edward Lorenz, a meteorologist who, in the 1960s, discovered that small changes in initial conditions could lead to vastly different outcomes in weather models. This phenomenon, later termed the "butterfly effect," became a defining feature of chaotic systems. Lorenz’s discovery challenged the classical notion that the universe operates like a clockwork mechanism, reinforcing the idea that certain systems, though deterministic, are inherently unpredictable. 
  Nonlinear dynamics appear in a wide array of disciplines, from physics and engineering to biology and economics. In physics, chaotic motion is evident in fluid turbulence, celestial mechanics, and quantum systems. Engineering applications include secure communication systems that exploit chaotic signals for encryption. Biological systems, such as neural activity in the brain and heartbeat irregularities, also follow nonlinear principles. Ecological systems, particularly predator-prey relationships and population dynamics, demonstrate chaotic fluctuations over time. Even in finance, stock market movements and economic cycles exhibit nonlinear behaviors that make precise long-term predictions nearly impossible.

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  Minnie - The remarkable story of...

  Marianne van Velzen

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  The inspiring story of a feisty pioneering woman who sought freedom and adventure in the outback and became the first woman to work as an opal miner in Australia. 
   
  People always asked her if she was ever afraid, living out in the desert alone with all those rough and scruffy men. But Minnie Berrington was not the faint-hearted type, and never had been. Being tough came naturally to her, growing up with three brothers and a family that went from riches to ruins. 
   
  Only a slip of a girl, Minnie could match any man in stamina, perseverance and strength. She arrived in Coober Pedy when camels still brought in essential supplies, and water was so scarce that no-one washed. Together with the other miners, she braved the heat, the flies and the dust. Every day she waited for that special sound the pick made when it cracked opal. 
   
  The first woman to dig her own shafts in the Australian opal fields, Minnie began her working life as a typist in London. But she and her younger brother, Victor, sought freedom and adventure in the 1920s and found plenty of it in the outback. 
   
  'Destined to become an outback classic' LIZ HARFULL, bestselling author of Women of the Land 
   
  'Minnie brings to life a gutsy, independent woman living a remarkable but simple life in the harshest of conditions' JULIET WILLS, author of The Diamond Dakota Mystery

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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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