D'autres livres qui pourraient vous intéresser

• 

  Entropy - A Very Short...

  James Binney

  • 0
  • 0
  • 0

  Until the middle of the nineteenth century entropy and energy were confused with one another. The intellectual fog slowly cleared and now these words name subtle and powerful concepts. Most people think they know what energy is, but few could define entropy.This Very Short Introduction traces the emergence of entropy and energy as distinct concepts, and explains how entropy spread from thermodynamics into statistical mechanics, probability theory and data science. It explains the implications of entropy for heat pumps, solar cells, carbon capture, and liquified natural gas. Quantum mechanics and gravity open new horizons for entropy, and when combined in the quantum theory of black holes, they call into question our current understanding of material reality.

  Voir livre

• 

  Learn Beekeeping for Beginners -...

  Sabine Grassy

  • 0
  • 0
  • 0

  What appeals to you about beekeeping? Is it the prospect of producing your own honey and having the delicious natural product fresh on your breakfast table every morning? Or is it the fascination for the organism "bee", which stands out as a masterpiece of evolution? Perhaps it is a mixture of both.
  
  When you hold this book in your hands, you have an exciting journey ahead of you! Perhaps the first bees are already buzzing in your garden and flying from the hive to collect plentiful honey. Or maybe you're just toying with the idea of eventually acquiring a colony.
  
  This book provides you with a solid basic knowledge about beekeeping and the tasks involved, about honey extraction and processing, and ultimately, of course, about the honey bee.

  Voir livre

• 

  Big Data Frameworks -...

  Mark Jackson

  • 0
  • 0
  • 0

  In the era of data-driven decision-making, managing and analyzing large-scale datasets has become a critical challenge for organizations across industries. Big Data Frameworks: Architectures, Tools, and Techniques for Managing Large-Scale Data.Comprehensive review of Apache Hadoop, Spark and Flink offers a comprehensive exploration of the essential frameworks and tools that enable effective big data management and analysis. 
  This book provides a deep dive into the architectures and technologies that power modern big data solutions. Beginning with foundational concepts, readers will gain an understanding of data lifecycle management and the core principles of big data ecosystems.  
  Beyond individual frameworks, the book addresses the integration of big data technologies with machine learning, explores cloud-based big data solutions, and emphasizes best practices for security and governance. 
  Each chapter is enriched with practical examples, real-world case studies, and actionable insights, making this book a valuable resource for data professionals, architects, and anyone involved in big data projects. Whether you're a beginner looking to understand the basics or an experienced practitioner seeking advanced techniques, Big Data Frameworks provides the knowledge and tools necessary to tackle the challenges of large-scale data management and analysis. 
  Unlock the power of big data and stay ahead in the rapidly evolving field with Big Data Frameworks: Architectures, Tools, and Techniques for Managing Large-Scale Data. Comprehensive review of Apache Hadoop, Spark and Flink. 
   

  Voir livre

• 

  Lean Change Management -...

  Daniel Green

  • 0
  • 0
  • 0

  In this groundbreaking exploration, we delve into the dynamic world of change management, unveiling a paradigm shift that blends Lean principles with agile methodologies to navigate organizational transformations with unparalleled agility and resilience. 
  As the business landscape evolves at an unprecedented pace, traditional change management approaches prove inadequate in addressing the challenges of today's fast-paced environment. This book introduces the Lean Change Management Framework, a revolutionary guide that empowers leaders and change agents to steer their organizations through change with unparalleled efficiency and adaptability. 
  Discover the intricacies of Lean Change Management, exploring the framework's three pillars: Plan, Engage, and Iterate. Uncover the secrets of strategic planning, stakeholder engagement, and iterative implementation that form the bedrock of this transformative approach. Learn how to cultivate agile teams, overcome resistance to change, and measure progress effectively to achieve sustainable and lasting transformations. 
  The narrative unfolds through insightful case studies, drawing on real-world examples of organizations that have successfully embraced Lean Change Management. These stories provide invaluable lessons, offering practical insights and highlighting best practices that can be applied across various industries and contexts. 
  Embrace the principles of Lean Change Management, foster a culture of continuous improvement, and lead your organization into a future where adaptability and resilience are the cornerstones of success. 
   

  Voir livre

• 

  Data Visualization Guide - 4...

  Alexa Campbell

  • 0
  • 0
  • 0

  Have you ever wondered how you can work with large volumes of data sets? Do you ever think about how you can use these data sets to identify hidden patterns and make an informed decision? Do you know where you can collect this information? Have you ever questioned what you can do with incomplete or incorrect data sets? If you said yes to any of these questions, then you have come to the right place. 
  You can use this information to make informed decisions and improve the efficiency and methods in your business. Every business needs to find a way to interpret and analyze large data sets. To do this, you will need to learn more about the different libraries and functions used to improve data sets. Since most data professionals use Python as the base programming language to develop models, this book uses some common libraries and functions from Python to give you a brief introduction to the language. 
  If you are a budding analyst or want to freshen up on your concepts, this book is for you. It has all the basic information you need to help you become a data analyst or scientist. 
  In this book, you will:Learn what data mining is, and how you can apply in different fields.Discover the different components in data mining architecture.Investigate the different tools used for data mining.Uncover what data analysis is and why it’s important.Understand how to prepare for data analysis.Visualize the data.And so much more! 
  So, what are you waiting for? Grab a copy of this book now.

  Voir livre

• 

  Ultimate Figma for UI UX Design...

  Aditi Sharma

  • 0
  • 0
  • 0

  Crack the Code to Solving Customer Problems with Exceptional User Experience Designs Powered by Figma.
  Book Description
  Figma is a powerful, collaborative design tool that has transformed the UI/UX design process. With its intuitive interface and advanced features, it enables seamless collaboration and the creation of exceptional user experiences, making it the go-to choice for designers.
  Ultimate Figma for UX/UI Design guides you through Figma’s capabilities, covering everything from the basics to advanced features, collaboration, and real-world applications. Each chapter includes hands-on exercises and examples to reinforce learning, covering topics such as Figma’s interface, design principles (shapes, colors, typography), UI element design, interactive prototypes, real-time collaboration, plugin integration, responsive design, and more.
  This book offers a structured approach for professionals at all design skill levels. Readers will gain tips, tricks, and best practices to enhance their efficiency, collaboration, and design skills, opening doors to success in UX design. Through practical exercises and real-world examples, this guide equips you to excel with Figma and become a proficient UX designer.
  Unlock your full design potential—dive into Ultimate Figma for UX/UI Design and start crafting exceptional user experiences today!
  Table of Contents
  1. Introduction to Figma
  2. Understanding Design Principles in Figma
  3. Mastering the Figma Interface
  4. Designing UI in Figma
  5. Prototyping and Iterating User Interface Design
  6. Advanced Design Techniques in Figma
  7. Collaboration and Team Workflows
  8. Integrating Plugins and External Tools
  9. Designing Responsively for Multiple Devices
  10. Real-World Projects and Case Studies      
  
  Index

  Voir livre