Altri libri che potrebbero interessarti

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  Every Last Fish - A Deep Dive...

  Rose George

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  Slippery, wet, and strange: Fish can be easier to think of as food than as fellow animals. But what do we know about these creatures we meet on our dinner table and how they got there? But with warming oceans, diminishing fish stocks, and questions about fish farming practices, where will the fish come from? 
   
  In Every Last Fish, Rose George dives into these questions by exploring the vast industries that support our appetite for fish sticks and salmon burgers, and the colossal illegal fishing trade whose practices and standards are unmonitored and often dangerous. Journeying to the bottom of the ocean and back, she examines the machinations of this $200 billion food system―one that's growing rapidly even as fish populations disappear. 
   
  Along the way, George introduces us to the people on the front lines of fishes and fishing: fishermen, divers, marine biologists, fish fryers, and fishwives. Her journey ends at the fish counter, with guidance for listeners looking to make better choices, both for the ocean's health and their own. 
   
  Ranging from Alaska to the United Kingdom to Senegal and beyond, Every Last Fish is an unforgettable trip through the ocean's inhabitants and workers.

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  Cloud-Native Architectures -...

  James Ferry

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  In an era where digital transformation drives business success, "Cloud-Native Architectures: Building Scalable, Resilient, and Agile Systems" stands as a definitive guide for architects, developers, and IT professionals aiming to master the art of designing and deploying applications in the cloud. Authored by industry experts, this book delves into the principles and practices essential for creating systems that thrive in the dynamic cloud environment. 
  This comprehensive resource covers the full spectrum of cloud-native technologies and methodologies, from containerization and microservices to serverless computing and continuous integration/continuous deployment (CI/CD). Through detailed case studies and real-world examples, you will learn how to leverage tools like Kubernetes, Docker, and cloud platforms such as AWS, Azure, and Google Cloud to create robust, high-performing systems. 
  Key topics include:The fundamentals of cloud-native architecture and its benefits over traditional monolithic approaches.Designing for scalability: Techniques to handle increased load and ensure high availability.Building resilience into your systems to withstand failures and ensure continuous operation.Embracing agility: How to implement DevOps practices and CI/CD pipelines for rapid iteration and deployment.Security and compliance in the cloud: Best practices for protecting your data and ensuring regulatory adherence.Monitoring, logging, and tracing: Tools and strategies for maintaining visibility and control over your cloud-native applications. 
  "Cloud-Native Architectures" not only equips you with the technical knowledge required to build state-of-the-art systems but also provides insights into the cultural and organizational shifts needed to succeed in the cloud.  
   

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  The Madness Pill - One Doctor's...

  Justin Garson

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  A rollicking history of the life and work of an unheralded genius: Dr. Solomon Snyder, whose experiments with mind-altering drugs helped change the way we think about the causes and treatments of schizophrenia.In the 1950s, the field of psychiatry had nothing to show for itself. While polio was being cured, antibiotics were being discovered, and cancer research was developing, the mental health world had no wins. Asylums were full and nobody had figured out how to fix insanity—specifically schizophrenia, the severest mental illness. Scientists became convinced that if they could engineer a pill to create madness, then they could cure it.Centered around Solomon Snyder, the psychiatrist who ultimately did identify the madness pill, and the community of doctors and researchers he worked with, THE MADNESS PILL recounts the drug-fueled quest to cure schizophrenia. A wunderkind who started medical school at 19, Snyder worked steadily for decades to replicate the illness, ultimately finding in 1970 that amphetamines could trigger a schizophrenia-like state by flooding the brain with dopamine. Five years later, he went on to discover the dopamine receptor and proved that antipsychotic drugs work by disabling dopamine neurons. Snyder’s dopamine hypothesis inspired a generation of researchers to part ways with psychoanalysis and look for the biological basis of schizophrenia and other mental disorders.Using first-hand research and interviews, THE MADNESS PILL is at once a raucous history and insightful portrait of a remarkable scientist who turned psychiatry into a respected science by transforming how mental illness is treated.

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  Hacking for Beginners -...

  Ross Menzies

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  NEW 2022 UPDATE! THE NEW EDITION INCLUDES ALL OF THE READERS' SUGGESTIONS.  
    
  The books have been appropriately updated, edited, and proofread, and new information has been added. 
  This Guide will spend some time looking at the realm of hacking and some of the fantastic skills that come with this sort of procedure. Whether you are an unethical or ethical hacker, you will employ many of the same tactics. This manual will go over them in more depth along the way, quickly transforming you from a beginner to a specialist.  
    
  In this Guide, we will look at a variety of hacking subjects, including: 
   The fundamentals of hacking and some of the advantages of knowing how to apply this programming style.The many sorts of hackers, why they are significant, and how they vary from one another.How to use your penetration test.The significance of strong passwords and how a skilled hacker would try to crack them.A look at how to hack into any company's website that does not have enough protection in place.Some of the actions you may take to guarantee that your network remains safe and secure in the face of any threats.  
  And Much More!... 
    
  Are you ready to learn more about hacking and what it may do to your personal or corporate network's safety and security? 
    
  Scroll to the top of the page and click the "Buy Now" button. 
   

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  Python Machine Learning for...

  Alexa Campbell

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  Have you thought about a career in data science? It's where the money is right now, and it's only going to become more widespread as the world evolves. Machine learning is a big part of data science, and for those that already have experience in programming, it's the next logical step. 
  Machine learning is a subsection of AI, or Artificial Intelligence, and computer science, using data and algorithms to imitate human thinking and learning. Through constant learning, machine learning gradually improves its accuracy, eventually providing the optimal results for the problem it has been assigned to. 
  It is one of the most important parts of data science and, as big data continues to expand, so too will the need for machine learning and AI. 
  Here's what you will learn in this quick guide to machine learning with Python for beginners:What machine learning isWhy Python is the best computer programming language for machine learningThe different types of machine learningHow linear regression worksThe different types of classificationHow to use SVMs (Support Vector Machines) with Scikit-LearnHow Decision Trees work with ClassificationHow K-Nearest Neighbors worksHow to find patterns in data with unsupervised learning algorithms 
  You will also find plenty of code examples to help you understand how everything works. 
  If you are ready to take your programming further, scroll up, click Buy Now, and find out why machine learning is the next logical step.

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  Fundamentals of Data Engineering...

  SAM CAMPBELL

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  Dive into the world of big data technologies, exploring Hadoop, Spark, NoSQL databases, and more. Discover the importance of data quality and governance, ensuring that your data is not just abundant but accurate and reliable. Scalability, performance optimization, and the shift to cloud data engineering are unveiled, providing a roadmap for those navigating the complexities of the digital age. 
   Real-time data processing, often a challenging frontier, is demystified, with insights into event-driven architectures, messaging systems, and cutting-edge processing tools. Through case studies and best practices, learn from the successes and challenges faced by industry leaders, gaining valuable perspectives to inform your own data engineering journey. 
   "Fundamentals of Data Engineering" goes beyond theoretical concepts, offering tangible lessons and practical strategies. Whether you are a data engineer, analyst, or a decision-maker seeking to harness the power of data, this book equips you with the knowledge and tools to navigate the evolving landscape of data engineering. 
   Illuminate the path to mastery, embrace the future of data, and unlock the potential within your information. Get ready to embark on a transformative journey through the core principles and practices of data engineering, and position yourself at the forefront of this data-driven revolution. 
   

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