Other books that might interest you

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  Who Owns The Moon? - In Defence...

  A. C. Grayling

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  Silicon for microchips; manganese for batteries; titanium for missiles. 
   
  The moon contains a wealth of natural resources. So, as the Earth’s supplies have begun to dwindle, it is no surprise that the world’s superpowers and wealthiest corporations have turned their eyes to the stars. As this new Space Race begins, A.C. Grayling asks: who, if anyone, owns the moon? Or Mars? Or other bodies in near space? And what do those superpowers and corporations owe to Planet Earth and its inhabitants as a whole? 
   
  From feudal common land, through the rules of the sea, to the vast, nationless expanse of Antarctica, Grayling explores the history of the places which no one, and therefore everyone, owns. Examining the many ways this so-called terra nullius has fallen victim to ‘the tragedy of the commons’ – the tendency for communal resources to be exploited by a few individuals for personal gain at the expense of everyone else – Who Owns the Moon? puts forward a compelling argument for a bold new global consensus, one which recognises and defends the rights of everyone who lives on this planet.

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  Running the Risk - From Shark...

  David Burrett Reid

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  Key Selling Points: Accessible and entertaining, narrative-driven non-fiction book about the subject of risk. No other mass-market book that covers risk beyond business book.

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  Modern Web Applications with...

  Shubham Jain

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  "Elevate Your Web Development with Next.js Mastery!"
  
  Book Description
  This practical handbook takes you on a journey from foundational principles to advanced techniques, offering a complete exploration of Next.js, the cutting-edge framework for building performant and dynamic web applications.
  Beginning with an introductory overview of web applications utilizing Next.js and JavaScript, the book reintroduces React to ensure a strong footing in the core concepts. It then delves into the fundamentals of Next.js, providing insights into the latest version's core advancements and optimizations.
  It will help you explore the intricacies of Next.js applications, including an in-depth look at optimizing performance. It will then move on to demystify routing in Next.js, mastering state management, and implementing RESTful and GraphQL APIs. By the end of it, you will understand the usage of diverse databases and discover the significance of client-side and server-side rendering in Next.js applications.
  This book also covers crucial aspects of securing applications using NextAuth. It will help you learn to develop a complete CRUD application, gaining hands-on experience and insight into deployment architectures that can turn your projects into scalable and production-ready applications.
  
  Table of Contents
  1. Introduction to Web Applications with Next.js and JavaScript
  2. Recall React
  3. Next.js Fundamentals
  4. Next.js 13
  5. Optimizing Next.js Applications
  6. Understanding Routing in Next.js
  7. State Management in Next.js
  8. Restful and GraphQL API Implementation
  9. Using Different Types of Databases
  10. Understanding Rendering in Next.js Applications
  11. Securing App with Next Auth
  12. Developing a CRUD Application with Next.js
  13. Exploring Deployment Architecture in Next.js Applications   
  Index

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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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  Python in Depth - A Multipurpose...

  D Nathan Venture

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  Step Into the Future of Coding with Python: Your Comprehensive Guide Awaits 
   
  Dive into Python and become a versatile coder ready to face any digital challenge. "Python in Depth: A Multipurpose Coder and Programmer's Guide" goes beyond the basics, guiding you through Python's evolving landscape, from fundamentals to advanced applications. 
   
  Begin with an introduction to the Python community and understand why Python's simplicity and versatility make it a favorite among professionals. Learn to set up your environment, choose an IDE, and grasp Python’s syntax and structure for a smooth start. 
   
  As you advance, tackle intermediate and sophisticated topics essential for modern development—object-oriented programming, exception handling, and Python’s extensive libraries. Explore databases, web frameworks like Django and Flask, and tap into Python's potential in data science and machine learning. 
   
  This guide emphasizes readability, efficiency, and best practices. Discover how to optimize your code, follow the Python style guide, and handle collaborative development with ease. 
   
  By the end, you'll deeply understand Python's core concepts and apply them in real-world scenarios—from web development and data analysis to networking, security, and creative coding. Whether starting or expanding your knowledge, this guide is key to unlocking your potential in today's tech-driven world. 
   
  Embark on this transformative Python journey and prepare for limitless possibilities. It’s time to code, create, and innovate. Let's get started!

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  Best Practices in Database...

  Lydia Johnson

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  Effective database management is a key part of any organization's success in today's data-driven world. In "Best Practices in Database Management – Structuring the Digital Realm: A Comprehensive Guide to Database Management," the author goes into great detail about the basics, methods, and new trends in database management that are needed in today's world. 
  This book starts with basic ideas like data modeling, normalization, and schema design and then goes on to teach you everything you need to know to be a database manager. More advanced topics are then talked about, like query optimization, performance tuning, and how to use cloud-based and NoSQL solutions. For each chapter, theoretical insights are combined with real-world examples to make sure that readers gain both knowledge and skills that can be used. 
  One of the most important ideas in this book is how to keep a healthy balance between technological progress and moral responsibility. This document talks about different methods that can be used to make sure that data is safe, that rules are followed, and that trust is built by using strong data management practices. Because it focuses on scalability and adaptability, the book gives readers the information and skills they need to deal with the problems that come up with big data, distributed systems, and real-time analytics.

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