Altri libri che potrebbero interessarti

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  Charged - A History of Batteries...

  James Morton Turner

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  Winner of the 24th Annual Susanne M. Glasscock Humanities Book Prize 
   
   
   
  Finalist for the 2023 Cundill History Prize 
   
   
   
  Gold Medal Recipient, Nautilus Book Awards, Sustainability 
   
   
   
  To achieve fossil fuel independence, few technologies are more important than batteries. Used for powering zero-emission vehicles, storing electricity from solar panels and wind turbines, and revitalizing the electric grid, batteries are essential to scaling up the renewable energy resources that help address global warming. But given the unique environmental impact of batteries—including mining, disposal, and more—does a clean energy transition risk trading one set of problems for another? 
   
   
   
  In Charged, James Morton Turner unpacks the history of batteries to explore why solving "the battery problem" is critical to a clean energy transition. As climate activists focus on what a clean energy future will create the history of batteries offers a sharp reminder of what building that future will consume. With new insight on the consequences for people and communities on the front lines, Turner draws on the past for crucial lessons that will help us build a just and clean energy future, from the ground up.

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  Big Data Analytics for Beginners...

  Chuck Sherman

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  In our increasingly data-driven world, understanding the fundamentals of big data analytics is essential for both professionals and beginners. "Big Data Analytics for Beginners" is your comprehensive guide to unravel the mysteries of data analysis and tap into the transformative power of big data. 
  This book takes you on a journey through the fascinating realm of data analytics, catering to readers with little to no prior experience in the field. Whether you're an aspiring data scientist, business professional, student, or simply curious about the world of data, this book provides a solid foundation for your data analytics journey. 
  "Big Data Analytics for Beginners" is your roadmap to mastering the world of data analytics. With its clear explanations, practical examples, and valuable insights, this book empowers you to leverage data for informed decision-making, problem-solving, and innovation. Take your first steps into the world of big data analytics and unlock the potential of data in today's data-rich environment. 
   

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  Data-Intensive Applications -...

  Brian Murray

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  “Data-Intensive Applications: Design, Development, and Deployment Strategies for Scalable and Reliable Systems” is a comprehensive guide to building robust and scalable applications in the era of big data. With the explosion of data in recent years, building applications that can handle massive amounts of data has become increasingly important. This book covers the entire lifecycle of data-intensive applications, from designing and developing the application to deploying it in a production environment. 
  The book begins with an introduction to the challenges and opportunities of building data-intensive applications. It then moves on to cover the key concepts and technologies used in building these applications, including distributed systems, data processing frameworks, and storage technologies. The book also covers best practices for designing and developing data-intensive applications, including how to handle data at scale, how to ensure reliability and fault tolerance, and how to optimize performance. 
  In addition, the book covers the deployment and management of data-intensive applications, including strategies for deploying applications in the cloud, managing infrastructure, and monitoring and debugging applications in production. The book also includes case studies and real-world examples from companies that have successfully built and deployed data-intensive applications. 
  Whether you are a software engineer, data scientist, or IT professional, this book will provide you with the knowledge and skills you need to build and deploy data-intensive applications that are scalable, reliable, and performant. 
   

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  Raspberry Pi: Project Ideas Book...

  Ethan J. Upton

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  Unlock a world of possibilities with “Raspberry Pi: Project Ideas Book”, your step-by-step guide to learning, creating, and developing original projects with the popular microcomputer. This updated audiobook combines theory, hands-on practice, and real-world examples to help you get the most out of your Raspberry Pi—whether you’re a beginner or an experienced maker. 
  INCLUDING NOW PDF FILE WITH ALL THE CODING. 
  You’ll learn how to:Set up and optimize your Raspberry Pi for peak performance.Explore its anatomy and essential accessories for various projects.Access and manage your Raspberry Pi on a network via SSH, PuTTY, or Samba.Turn your Raspberry Pi into a DIY Smart TV, media server, or entertainment hub.Build practical projects with Python, automation, printing, IP cameras, and more. 
  With over six hours of detailed instructions and clear examples, each chapter guides you from basic concepts to advanced electronics and programming projects. Whether you want to code, automate your home, experiment with multimedia, or develop original projects, this audiobook equips you with the knowledge and tools to confidently start and advance your Raspberry Pi journey. 
  Dive into the world of Raspberry Pi and bring your ideas to life today!

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  Mastering PostgreSQL for Data...

  Jaques Fozao

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  Design, Optimize, and Scale PostgreSQL for Modern Data Pipelines.
  Book Description
  PostgreSQL is a leading open-source database, essential for modern data engineering tasks. Mastering PostgreSQL for Data Engineering and Cloud Deployment is your complete guide to unlocking PostgreSQL’s full potential in data-centric environments.
  Starting with installation and configuration, the book moves through foundational SQL, complex queries, and schema design. You will then deep dive into backup and restore, replication, high availability, and performance tuning strategies necessary for large-scale data workflows. The final chapters guide you through integrating PostgreSQL with AWS cloud services like RDS, EC2, and S3, enabling cloud-native data operations and migrations.
  Packed with real-world use cases, this book helps data engineers streamline operations, optimize queries, and build resilient, high-performance database systems.
  Hence, whether you are designing pipelines or managing production workloads, this is your roadmap to PostgreSQL mastery.
  Table of Contents
  1. Introduction to PostgreSQL
  2. Installing and Initializing PostgreSQL
  3. Subsets of SQL
  4. Understanding the Database
  5. PostgreSQL Configurations and File Permissions
  6. Backup and Restore
  7. Replication and High Availability
  8. Upgrade
  9. Performance Tuning
  10. Functions in PostgreSQL
  11. Demystifying Table Joints, Subqueries, CTE, and Views
  12. Cloud Computing (AWS)
  13. IAM Users and AWS Migration       
  
  Index

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  Machine Learning - Unraveling...

  Chuck Sherman

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  "Machine Learning: Unraveling the Algorithms of Intelligence” In this captivating exploration, you'll traverse the ever-expanding realm of artificial intelligence and machine learning, guided by a comprehensive and insightful narrative. 
  From its origins in the visionary minds of early computer scientists to its current status as a driving force behind technological innovation, machine learning's evolution is vividly brought to life. Delve into the heart of supervised learning algorithms, where linear regression, logistic regression, decision trees, support vector machines, and neural networks form the bedrock of predictive analytics. 
  Venturing deeper, the book unravels the mysteries of unsupervised learning, illuminating clustering techniques, dimensionality reduction, and the crucial task of anomaly detection. With clarity and precision, it demystifies the captivating world of reinforcement learning, painting a vivid picture of agents learning to navigate and excel within complex environments. 
  The journey wouldn't be complete without the profound influence of deep learning and neural networks. Traverse the landscapes of multilayer perceptrons, convolutional neural networks, recurrent neural networks, and generative adversarial networks, witnessing the power of AI to understand and create. 
  Whether you're an AI enthusiast, a student diving into the world of data science, or a professional seeking to stay ahead in the AI race, this book promises to be your guiding light. With a balanced blend of theory, practical insights, and ethical considerations, it equips you to navigate the complexities of machine learning while fostering a deep appreciation for the intertwined destiny of humanity and technology." 
   

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