Altri libri che potrebbero interessarti

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  Mastering Event-Driven...

  Lefteris Karageorgiou

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  Unleash the Power of AWS Serverless Services for Scalable, Resilient, and Reactive Architectures
  Book Description
  In the book Mastering Event-Driven Microservices in AWS, author Lefteris Karageorgiou takes you on a comprehensive journey through the world of event-driven architectures and microservices. This practical guide equips you with the knowledge and skills to design, build, and operate resilient, scalable, and fault-tolerant systems using AWS serverless services. 
  Through concrete examples and code samples, you'll learn how to construct real-world event-driven microservices architectures, such as point-to-point messaging, pub/sub messaging, event streaming, and advanced architectures like event sourcing, CQRS, circuit breakers, and sagas. Leveraging AWS services like AWS Lambda, Amazon API Gateway, Amazon EventBridge, Amazon SQS, Amazon SNS, Amazon SQS, AWS Step Functions, and Amazon Kinesis, you'll gain hands-on experience in building robust event-driven applications. 
  The book goes beyond just theory and delves into production-ready practices for testing, monitoring, troubleshooting, and optimizing your event-driven microservices. By the end of this comprehensive book, you'll have the confidence and expertise to design, build, and run mission-critical event-driven microservices in AWS, empowering you to tackle complex distributed systems challenges with ease. 
  Table of Contents
  
  1. Introduction to Event-Driven Microservices
  2. Designing Event-Driven Microservices in AWS
  3. Messaging with Amazon SQS and Amazon SNS
  4. Choreography with Amazon EventBridge
  5. Orchestration with AWS Step Functions
  6. Event Streaming with Amazon Kinesis
  7. Testing Event-Driven Systems
  8. Monitoring and Troubleshooting
  9. Optimizations and Best Practices for Production
  10. Real-World Use Cases on AWS   
  Index

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  Machine Learning with Python for...

  Saimon Carrie

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  Dive into the exciting world of machine learning with "Machine Learning with Python for Beginners: A Practical Guide to Understanding and Implementing Machine Learning Using Python". This book is specifically designed for beginners and aspiring data scientists who want to understand the fundamentals of machine learning and how to apply these techniques using Python, one of the most popular programming languages for data analysis and machine learning. 
  The book begins by introducing you to Python and its libraries that are essential for machine learning, such as NumPy, Pandas, Matplotlib, and scikit-learn. You'll learn how to set up your Python environment and gain the programming skills necessary to build your first machine learning models. 
  Beyond the basics, the book explores more advanced topics such as neural networks and deep learning with TensorFlow and Keras. You’ll learn how these powerful frameworks can be used to develop sophisticated models that are capable of recognizing patterns and making predictions with greater accuracy. 
  This book also discusses the ethical considerations and challenges in machine learning, preparing you to handle data responsibly and make informed decisions in your projects. 
  "Machine Learning with Python for Beginners: A Practical Guide to Understanding and Implementing Machine Learning Using Python" provides you with the tools and knowledge needed to start building your own machine learning models. Packed with practical examples, tips, and code snippets, this book is an essential guide for anyone looking to harness the power of machine learning using Python. 
   

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  Human Creativity Analysis - For...

  Allen Young

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  'How do humans create?' 
  'How does the human creativity work?' 
  This book answers the most important questions in how the human creativity works, for advancing artificial intelligence and robotics that will heighten and exponentially increase human creativity on Earth and in outer space.

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  Science and Cooking - Physics...

  Anonimo

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  Based on the popular Harvard University and edX course, Science and Cooking explores the scientific basis of why recipes work. 
   
   
   
  The spectacular culinary creations of modern cuisine are the stuff of countless articles and social media feeds. But to a scientist they are also perfect pedagogical explorations into the basic scientific principles of cooking. In Science and Cooking, Harvard professors Michael Brenner, Pia Sörensen, and David Weitz bring the classroom to your kitchen to teach the physics and chemistry underlying every recipe. 
   
   
   
  Why do we knead bread? What determines the temperature at which we cook a steak, or the amount of time our chocolate chip cookies spend in the oven? Science and Cooking answers these questions and more through hands-on experiments and recipes from renowned chefs such as Christina Tosi, Joanne Chang, and Wylie Dufresne.

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  Smart Technologies - Innovations...

  Craig Dames

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  Smart technologies have become an integral part of modern life, revolutionizing how people interact with their environment, devices, and even one another. These innovations, powered by artificial intelligence (AI), machine learning, and the Internet of Things (IoT), have significantly transformed industries, homes, healthcare, and urban infrastructure. The growing reliance on smart technologies has not only improved convenience and efficiency but has also reshaped the way businesses and governments operate. 
  The evolution of smart innovations can be traced back to early automation systems and digital advancements that laid the foundation for today's interconnected world. The rapid rise of AI and IoT has led to the development of intelligent systems that can analyze data, predict user behavior, and respond in real time. From voice assistants to self-learning algorithms, these technologies are constantly evolving to enhance human experiences. As a result, what was once considered futuristic is now a reality embedded in everyday life. 
  Smart technologies can be broadly defined as systems, devices, and applications that utilize data processing, connectivity, and automation to improve efficiency and decision-making. Unlike traditional technologies, which require manual operation, smart technologies leverage AI-driven insights to optimize processes. For example, smart home systems can regulate energy consumption based on usage patterns, while AI-driven healthcare solutions can detect diseases at an early stage. These innovations not only reduce human effort but also contribute to sustainability by optimizing resource utilization.

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  Bird & Forest Nature Sounds -...

  Pacific Wave Therapy

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  This one-of-a-kind audiobook gives you real Australian bird & forest sounds — professionally recorded in different quiet nature spots, with no music and no artificial effects. 
  You’ll hear a mix of famous Australian birds and soothing nature sounds that create a calm, steady background, including:Kookaburras with their iconic laughing callButcherbirds with clear, clean songsCockatoos calling from the distanceCurrawongs with their deeper, rounder notesAustralian Magpies doing their smooth, warbling callsRainbow Lorikeets with bright, lively chatterNoisy Miners adding sharper callsSuperb Fairywrens with light, high-pitched sounds 
  You’ll also hear gentle wind, leaves, relaxing rain and the natural quiet that makes the whole experience feel open and real. 
  Does the science agree? Nature sounds help the brain slow down because they’re easy to process. Your mind doesn’t have to fight for attention the way it does with city noise, phones, or music with lyrics. That makes it easier to focus, read, study, work, or settle down at night. 
  There’s also good evidence that listening to nature audio can reduce stress and help your body shift into a calmer state. Bird sounds work especially well because they have just enough variety to keep your mind engaged without pulling you away from what you’re doing. 
  No talking. No music. Only real nature, professionally recorded and edited. 
  Press play!

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