Outros livros que poderiam interessá-lo

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  Beyond the Stars - The Role of...

  Dirk Fallon

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  The concept of cosmic expansion is foundational to modern cosmology. It describes the way the universe has been stretching out over time, with galaxies moving away from each other. This phenomenon was first observed in the early 20th century by astronomer Edwin Hubble, who discovered that distant galaxies were receding from the Earth. The further a galaxy was, the faster it seemed to move away. This led to the realization that the universe itself was expanding, not just galaxies moving within a static space. The discovery was groundbreaking because it suggested that the universe had a beginning—a moment when all matter and energy were concentrated in a singular point. This insight laid the groundwork for the Big Bang theory, which proposes that the universe began from an incredibly hot and dense state and has been expanding ever since. 
  Before this discovery, the prevailing belief in astronomy was that the universe was static, neither expanding nor contracting. However, Hubble’s findings, supported by the work of other scientists like Alexander Friedmann and Georges Lemaître, showed that space itself was expanding. This meant that the fabric of the universe was stretching, causing galaxies to drift apart over time. Understanding cosmic expansion was pivotal not only in explaining the universe’s origins but also in forming the basis for further study of its evolution and ultimate fate. 
  At first, scientists believed that the expansion of the universe would eventually slow down due to gravitational pull. This expectation, however, changed with the discovery of dark energy in the late 20th century. Observations of distant supernovae revealed that not only was the universe expanding, but this expansion was actually accelerating. This unexpected acceleration is attributed to dark energy, a mysterious force that permeates space and drives galaxies apart at an ever-increasing rate.

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  Software-Defined Networking - A...

  May Sherry

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  Software-Defined Networking: A Comprehensive Guide to Modern Network Architecture offers an in-depth exploration of the transformative technology reshaping the world of networking. This book provides a thorough understanding of Software-Defined Networking (SDN), from foundational principles to advanced implementations, making it an essential resource for network professionals, engineers, and IT managers. 
  This guide equips you with the knowledge and tools needed to leverage SDN for modern, scalable, and efficient network architecture. 
   

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  Truth is the invention of a liar...

  Heinz von Foerster, Bernhard...

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  "This book is so rich with insights, sparkling dialogue, and wisdom that one would love to distribute it like a leaflet around town."
  
  Südwestrundfunk (German radio station)
  "The intellectual dance that the two dare to dance is intelligent, light, humorous, and enchanting."
  
  Süddeutsche Zeitung (German daily)
  "I recommend this book not only to the cybernetics and systems community, but to anyone."
  
  Ranulph Glanville, Cybernetics and Human Knowing
  "Easy and enjoyable to read, without loss of scientific and philosophical depth and rigor. … The reader will find the book difficult to put down."
  
  Bernd R. Hornung, Journal of Sociocybernetics
  Conversations for skeptics
  
  How real is reality? Are our images of the world mere inventions or do they correspond to an external reality? Is it possible to know the truth?
  
  These are some of the questions that are discussed in this book by physicist and philosopher Heinz von Foerster and media studies scholar Bernhard Poerksen. Together they explore the limits of our cognitive capacities; they debate the apparent objectivity of our sensual perception and the consequences of "truth terrorism"; and they talk about the relationship between knowledge and ethics, sight and insight.
  The authors:
  Heinz von Foerster (1911–2002) completed his studies of physics in Vienna and worked at different research labs before emigrating to the United States in 1949. In 1957, at the University of Illinois, he established the Biological Computer Lab (BCL) – the cradle of the epistemology that would later cause a stir under the label of "constructivism." The focus was on analyzing the logical and methodological problems that in evitably arise when one seeks to know knowledge. He is the author of numerous books, including Understanding Understanding: Essays on Cybernetics and Cognition.
  Bernhard Poerksen is professor of media studies at the University of Tübingen with a particular research interest in the new media age. His books about systemic thinking have been translated into many languages. In 2008 he was voted "Professor of the Year" in honor of his teaching. His most recent book publications in English include From Being to Doing: The Origins of the Biology of Cognition (with Humberto Maturana), The Unleashed Scandal: The End of Control in the Digital Age (with Hanne Detel), and Digital Fever: Taming the Big Business of Disinformation.

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  Mastering GraphQL - A...

  Et Tu Code

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  Are you looking to build a scalable and efficient API using GraphQL?  
  Look no further! This comprehensive guide covers everything you need to know to master GraphQL, from its history and popular applications to its schema, queries, mutations, resolvers, directives, pagination, authentication, authorization, error handling, best practices, testing, tooling, and more.  
  Whether you're a seasoned developer or just starting out, this book has got you covered. 
  1. Introduction to GraphQL 
  2. History of GraphQL 
  3. Popular Applications of GraphQL 
  4. GraphQL Schema and Types 
  5. Queries and Mutations 
  6. GraphQL Resolvers 
  7. GraphQL Directives 
  8. Pagination and Batch Loading 
  9. Authentication and Authorization 
  10. Error Handling in GraphQL 
  11. Subscriptions in GraphQL 
  12. GraphQL Best Practices 
  13. Testing GraphQL APIs 
  14. Tooling and Development Workflow 
  15. Integrating GraphQL with Frontend Frameworks 
  16. GraphQL in Production 
  17. GraphQL and Microservices 
  18. Challenges and Problems with GraphQL 
  19. Benefits of GraphQL over REST API 
  20. Disadvantages of GraphQL compared to REST API 
  21. Interview Questions on GraphQL in JavaScript

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  Learning ClickBank Marketing

  Tudor Bauer

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  Learning ClickBank Marketing: A Comprehensive Guide On How To Make Massive Income Through Clickbank Affiliate MarketingClickbank is a virtual marketplace that was founded in 1998. Clickbank is an online retail outlet and an online payment processor. The products featured on Clickbank are digital products like e-books, software, and videos. It is regarded as the best place for people to buy or sell their digital products.The basic concept of making money from Clickbank is remarkably straightforward. You choose a product or service to promote, you put information about that product in front of a potential prospect (ideally a targeted prospect), and assuming they buy the product, you get paid a commission. In fact, you will get paid twice a month by check sent directly to your front door and with commission rates on the top products that Clickbank offers generally in the 50% to 75% range, the payouts that you can anticipate are often extremely attractive too.In this audiobook, you will learn to make massive income through Clickbank affiliate marketing. Learn how you can generate significant income using Clickbank. Here is the preview of the topics that you’ll learn in this guide: Why Clickbank is the #1 information product affiliate marketing site, The basics, Factors to be Aware of, Setting up your account, Finding products and generating hop links, External resources for analyzing Clickbank products still further, and many more!Working with Clickbank can be one of the quickest and easiest ways of generating significant levels of online income. Want to learn how, grab a copy of Learning ClickBank Marketing now!

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  Your First Steps in AI

  Tom Henricksen

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  Don't be left behind in the AI revolution! This concise ebook provides a clear and accessible introduction to the key concepts driving Artificial Intelligence. You'll learn about:Machine Learning: How algorithms learn from data to make predictions.Deep Learning: The power of neural networks and their applications.Generative AI: Exploring the exciting world of AI that creates new content.And much more! 
  Whether you're a curious individual or a professional seeking to understand the future of technology, this ebook is your starting point for the AI journey.

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