Altri libri che potrebbero interessarti

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  Agile Quality Management -...

  Ryan Barry

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  In the fast-paced world of software development, achieving excellence demands more than just speed—it requires a dynamic approach that adapts to change, embraces collaboration, and places quality at its core. "Agile Quality Management: Navigating the Evolution of Software Excellence" is your indispensable guide to mastering the art of quality assurance in an Agile environment. 
  This book begins by unraveling the fundamental principles of Agile, exploring the Agile Manifesto, and dissecting various methodologies such as Scrum, Kanban, and XP. It unveils the essence of quality in Agile development and demonstrates how quality assurance plays a pivotal role in delivering successful software projects. 
  Dive deep into Agile quality management frameworks like SAFe, LeSS, Disciplined Agile, and Nexus, discovering how these frameworks enhance collaboration and streamline processes. Explore Agile testing strategies such as Test-Driven Development (TDD), Behavior-Driven Development (BDD), and continuous integration and delivery (CI/CD) pipelines, understanding how they contribute to building robust, reliable software. 
  This book is a comprehensive resource that will empower you to excel in the ever-evolving realm of Agile Quality Management. Packed with actionable insights, case studies, and practical examples, it's a must-read for anyone committed to delivering software excellence in today's dynamic and competitive digital landscape. 
   

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  They Had Names - Tracing the...

  Nathaniel Jeanson

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  Before the Pilgrims landed at Cape Cod, what was happening in North America? Who was there? What civilizations rose and fell? For years, the answers to these questions have been shrouded in mystery.
   
  At the time of European contact, a diverse world of Native peoples thrived across the continent. What was their backstory? Who were the ancestors of the Sioux? Where did the Navajo come from? What about the Apache, the Comanche, the Cherokee?
   
  They Had Names is the result of a multi-year deep dive into genetics, indigenous histories, archaeology, and linguistics—an ambitious quest to uncover answers to these questions.
   
  In this book, you will explore pre-Columbian links between civilizations of the Old World and civilizations of the New. You’ll read about unexpected connections between Mexico and tribes north of the Rio Grande. You’ll also discover that ancient ruins from North American civilizations still exist, that these ruins tell dramatic stories, and that they can still be visited today.
   
  On this continent, peoples and kingdoms rose and fell, great battles were fought, heroes were enshrined—heroes whose names have been preserved.

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  Software Architecture for...

  Steve Abrams

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  "Software Architecture for Developers: Designing Scalable and Maintainable Systems for the Real World" is an essential guide for software professionals seeking to elevate their understanding of architectural principles and design practices. In today's rapidly evolving technological landscape, the ability to create software systems that are not only scalable but also maintainable is paramount. 
  This book goes beyond theoretical concepts, offering practical insights and real-world strategies for architecting robust and adaptable systems. From understanding the fundamentals of software architecture to mastering advanced techniques for designing distributed and microservices-based architectures, readers will gain the knowledge and skills needed to tackle complex architectural challenges with confidence. 
  With a focus on scalability, maintainability, and performance, this book covers a wide range of topics, including modular design, architectural patterns, cloud-native architecture, and DevOps principles. Through in-depth case studies, code examples, and best practices, readers will learn how to navigate the trade-offs involved in architectural decisions and make informed choices that align with their project requirements. 
  "Software Architecture for Developers" provides invaluable guidance on creating architectures that are flexible, adaptable, and future-proof.  
   

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  The Passenger Pigeon

  William B. Mershon

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  Not Yet Available

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  Challenges and Future of Aquatic...

  Santiago Machain

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  As human activities continue to push aquatic ecosystems to the brink, the urgency to protect, restore, and sustain these environments has never been greater. Challenges and Future of Aquatic Ecosystems explores the most pressing threats facing our oceans, rivers, lakes, and wetlands, from pollution and climate change to overfishing, habitat destruction, and biodiversity loss. Through a compelling narrative, this book examines global conservation policies, innovative restoration efforts, and the role of technology in safeguarding aquatic life. 
  This book not only highlights the challenges but also presents actionable solutions at all levels—government policies, corporate responsibility, community-based conservation, and individual action—to inspire a collective movement toward a healthier future for aquatic ecosystems. It is an essential read for students, environmental professionals, policymakers, and anyone passionate about the protection of our planet's water systems.

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  Mastering ChatGPT and Google...

  Rosario Moscato

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  Learn how to harness the power of ChatGPT to streamline data analysis, accelerate model development, and unlock innovative solutions to real-world problems. 
  Book Description
  Unlock the future of machine learning by mastering Google Colab, trusted by over 5 million data scientists, and ChatGPT, powering 100 million users worldwide. This book bridges the latest in AI with practical, hands-on applications for data science. 
  With these game-changing tools at your command, you’ll be able to streamline complex workflows, automate tedious tasks, and propel your AI skills to new heights—making machine learning faster, smarter, and more accessible than ever before. 
  Each chapter unfolds a specific aspect of data science and machine learning, seamlessly integrated with ChatGPT’s free version capabilities. The foundational chapters introduce key machine learning concepts, while advanced sections explore topics such as natural language processing, sentiment analysis, and predictive analytics—all illustrated with real-world examples and interactive exercises. 
  Table of Contents
  
  1. Introduction to ChatGPT
  2. ChatGPT for Data Science and Machine Learning
  3. Fundamentals of Statistics for Data Science
  4. Missing Values and Outliers
  5. Relation Between Variables and Charts
  6. Data Preparation
  7. Training and Evaluation
  8. Fine Tuning, Features Selection, and Final Model
  9. Data Preparation and Training
  10. Fine Tuning and Final Model
  11. Data Analysis and Dataset Manipulation (NLP)
  12. Sentiment Analysis and Predictions
  13. ChatGPT-4 for a Completely Automated Data Science Workload
  14. Customizing GPT for Applications
  15. Takeaways and Conclusions   
  Index

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