Weitere Bücher, die Sie mögen werden

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  Testing in Software Development...

  Ben Rizer

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  In today's fast-paced world of software development, ensuring the reliability and quality of applications is crucial. Testing in Software Development for Beginners: Building a Strong Foundation in Software Testing Principles and Practices serves as a comprehensive guide for those starting their journey into the vital field of software testing. 
  This book breaks down complex testing concepts into easily digestible sections, making it an ideal starting point for beginners. From understanding the fundamentals of different types of testing—like unit, integration, system, and user acceptance testing—to exploring essential testing techniques and tools, this guide provides a solid foundation for developing high-quality software. The book also introduces industry best practices, including Test-Driven Development (TDD), Continuous Testing in CI/CD pipelines, and how to incorporate testing into agile and iterative methodologies. 
  This book will help you grasp the principles and equip you with practical skills for testing modern software applications. Featuring real-world examples, practical exercises, and step-by-step tutorials, Testing in Software Development for Beginners is your go-to resource for building confidence and competence in software testing from the ground up. 
  Prepare to embark on a rewarding journey to mastering the essential skills needed to contribute to the success of software projects, ensuring quality and consistency in every release! 
   

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  A Fenland Garden - Creating a...

  Francis Pryor

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  The story of how Francis Pryor created a haven for people, plants and wildlife in a remote corner of the fens. 
   
  A Fenland Garden is the story of the creation of a garden in a complex and fragile English landscape - the Fens of southern Lincolnshire - by a writer who has a very particular relationship with landscape and the soil, thanks to his distinguished career as an archaeologist and discoverer of some of England's earliest field systems. It describes the imagining, planning and building of a garden in an unfamiliar and sometimes hostile place, and the challenges, setbacks and joys these processes entail. This is a narrative of the making of a garden, but it is also about reclaiming a patch of ground for nature and wildlife - of repairing the damage done to a small slice of Fenland landscape by decades of intensive farming. 
   
  A Fenland Garden is informed by the empirical wisdom of a practising gardener (and archaeologist) and by his deep understanding of the soil, landscape and weather of the region; Francis's account of the development of the garden is counterpointed by fascinating nuggets of Fenland lore and history, as well as by vignettes of the plantsman's trials and tribulations as he works an exceptionally demanding plot of land.

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  Python Machine Learning for...

  Brian Murray

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  "Python Machine Learning Essentials: Build Your First AI Application" is a comprehensive guide for beginners who want to learn machine learning with Python. In this book, you will learn the foundations of machine learning, including different types of algorithms and the importance of data preprocessing. You will also learn how to build your first AI application, from collecting and preprocessing data to building and training a model, and then deploying and testing the application. 
  As you progress through the book, you will explore advanced machine learning techniques such as deep learning and convolutional neural networks for image recognition. You will also learn how to apply machine learning to real-world problems, such as building a spam filter, predicting stock prices, and performing sentiment analysis. 
  Throughout the book, you will learn best practices for machine learning in Python, including tips for efficient data preprocessing, strategies for selecting the right machine learning algorithm, techniques for optimizing model performance, and debugging common errors. 
  By the end of the book, you will have the skills and knowledge needed to build your own machine learning applications with Python. Whether you're new to programming or have experience in other languages, "Python Machine Learning Essentials: Build Your First AI Application" will help you unlock the power of artificial intelligence and take your skills to the next level. 
   

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  Pharmacology - Drugs Dosage and...

  Ava Westwood

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  In the high-stakes world of medicine, understanding the intricate dance between drugs and the human body can mean the difference between healing and harm. "Pharmacology: Drugs, Dosage, and Safety" is your comprehensive guide through this complex terrain, offering critical insights into how medications behave within biological systems, how they're best applied in clinical settings, and what happens when things go wrong. 
  This groundbreaking 3-in-1 resource seamlessly weaves together the essential disciplines of clinical pharmacokinetics, pharmacology, and toxicology, equipping healthcare professionals with the knowledge they need to make confident, informed decisions at every stage of patient care. From absorption rates to adverse reactions, from therapeutic windows to toxicity management, this book transforms the science of pharmaceuticals into the art of healing—because when it comes to medication, precision isn't just preferable, it's imperative.

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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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  Ultimate Robotics Programming...

  Jonathan Cacace

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  Learn Robotics and ROS 2 with Practical Examples
  Book Description
  Robot Operating System (ROS) and Python are essential tools for developing advanced robotics applications, offering reliability and scalability for both research and industrial solutions. Ultimate Robotics Programming with ROS 2 and Python introduces readers to ROS 2 without requiring prior experience in robotics. It blends theoretical explanations with practical exercises, empowering readers to solve specific robotics problems while understanding the reasoning behind various approaches.
  The book covers a broad spectrum of robotics topics, including mobile robots, industrial manipulators, and aerial robots. These systems are simulated using the modern Gazebo simulator and programmed with ROS 2’s out-of-the-box tools and custom solutions using the ROS 2 API. The book also delves into computer vision, generative AI, and machine learning, providing hands-on examples of real-world applications.
  Table of Contents
  1. Introduction to Robot Operating System
  2. Hands-on ROS 2 Programming Using Python
  3. Supplementary Tools for ROS
  4. Robot Visualization and Simulation
  5. Writing Tests Using Pytest for ROS 2 Nodes
  6. Controlling an Inverted Pendulum with a PID Controller
  7. Laser-based Obstacle Avoidance with a Wheeled Mobile Robot
  8. ROS 2 Behaviour Trees Using Python
  9. Surveillance System Using Behaviour Trees
  10. Robot Navigation Using ROS 2 Navigation Stack (Nav2)
  11. Robot Arm Control Using MoveIt
  12. Programming Aerial Robots Using ROS
  13. Computer Vision Using ROS
  14. Object Detection Using ROS
  15. Using Large Language Models with ROS
  16. Deep Reinforcement Learning Using ROS 2       
  
  Index

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