Böcker utgivna av Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Explore virtualized networking environments through the Cloud, Edge, and 5G core networks, and their applications. This book covers the primary approaches related to setting up and experimenting with related cloud and networking environments using virtual networks, and virtual network functions.You'll start by experimenting with future networking environments and learn a variety of Docker basics and essential networking skills. Specifically, containers, networking, volumes, iptables (for Docker environment security) and default orchestration features are discussed to help set up custom cloud, edge, and 5G core networking environments. Hands-on activities related to Docker networking and services features for publishing, scaling, and monitoring of services are also provided. By the end of Part 1, you'll be able to set up a variety of custom networking environments easily using Docker compose features and secure the set-up using iptables.Part 2 introduces Network Function Virtualization (NFV) architecture, and its roles in Cloud and 5G core networks. You'll learn to deploy an open source 5G core platform from OpenAirInterface (OAI) using Docker. Then, you'll set up and evaluate Virtual Network Functions (VNF) over suitable virtual networks. Hands-on activities are featured to guide you through the process of setting up and deploying VNFs such as DHCP, DNS, and proxy servers.Finally, Part 3 discusses key virtual networks such as IP VLANs, MAC VLANs, and overlay networks using Docker cluster setups. You'll use interesting hands-on activities to easily experiment and learn cloud and 5G core network set-up related virtual networks, overlay networks, and network slicing. When done, you'll be able to set up a variety of VNFs, carefully deploying VNFs, and conducting slicing activities over Docker cluster setups.

Inspired by recent developments in dependent type theory and infinity categories, this book presents a history of ideas around the topics of truth, proof, equality and equivalence. Besides selected ideas of Platon, Aristoteles, Leibniz, Kant, Frege and others, the results of Gödel and Tarski on incompleteness, undecidability and truth in deductive systems and their semantic models are covered. The main focus of this textbook is on dependent type theory and its recent variant homotopy type theory. Such theories contain identity types, which give a new understanding of equality, symmetry, equivalence and isomorphism in a conceptual way. The interaction of type theory and infinity category theory yields a new paradigm for a structural view on mathematics. This supports the tendencies towards formalising mathematics with the help of proof assistants.This book was first published in German. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.

Learn how to easily design and implement a software system using object-oriented programming. Through hands-on activities, this book equips you with the real-world practice needed to master OOP skills that can be applied universally across any programming language.This book is dedicated to bridging the gap between theoretical concepts and practical implementation in software development using OOP. Readers will first understand the importance of OOP in handling software complexities before learning how to model real-world problems through access control, extendible object design, and object relationships. Specifically, the author discusses how to use inheritance, association, and polymorphism concepts for implementing reusable and easy-to-use complex software. More importantly, this book covers design patterns and event-driven programming for learning how to model complex interactions among various objects of the software system to implement various use cases.Unlike existing books on OOP which teach syntax and semantics through standard examples, this book leverages an immersive learning experience through a variety of real-world use cases, applications, games, and system software. While written in C++, the skills can be applied to any OOP language of the reader's preference. The book's last chapters will quickly introduce Python and Solidity languages for learning advanced technologies. By the end, novice and seasoned developers will know how to implement practical and reusable software systems with confidence.What You Will Learn Apply OOP concepts through real-time use cases: games, applications software (online shopping, reservations, etc.), system software (protocols, simulators, etc.), and modeling and implementation using C+ Design and implement reusable and extendible software with OOP Understand the importance of design patterns and learn how to use them for solving real-time issues Use event-driven programming for implementing complete interactions of complex application software, system software, and simulators Implement OOP using C++ features and discover Python and Solidity constructs for OOP

Discover the exciting new APIs introduced by Java's Project Loom. This quick guide covers all the essential concepts the Java developer needs in order to understand virtual threads, structured concurrency, and scoped values.Authors Ron Veen and David Vlijmincx clearly explain the superiority of virtual threads, introduced in Java 21, over the traditional Java threads of the past 25 years. Then they dive into how structured concurrency streamlines interactions by treating related threads as a unified unit of work, akin to the impact of structured programming on regular programming. From there, the authors explore the third Project Loom API and scoped values, clarifying their advantages over regular ThreadLocals and providing efficient usage insights. The book concludes with an exploration of common scheduling strategies.By the end of this book, you will have a solid understanding of the concepts behind Project Loom and will be able to immediately apply this knowledge to your own code .What You Will Learn Discover what virtual threads are, why they were created, and how to use them in your code Gain insight into how concurrency improves the observability of code Write your own StructuredTaskScopes tailored to your needs Understand why you should replace ThreadLocals with Scoped Values Know the different strategies for multithreaded computer programs

Unlock the full potential of Microsoft Lists, an indispensable tool within the Microsoft 365 suite for tracking and organizing information. This book is your comprehensive guide, from the fundamentals to the advanced capabilities of Microsoft Lists, and will help you improve productivity and foster collaboration. Whether yoüre making a basic to-do list or managing a complex inventory system, Lists is built for a broad spectrum of users, from beginners to professionals, catering to diverse enterprise and consumer use cases.The book provides thorough coverage of a wide array of topics, from the history of the product and initial setup to the entire set of features it offers. Insights are presented on using templates, optimizing columns, managing your lists, mastering the views, JSON features, and the various sharing and collaboration tools to utilize the product for maximum productivity. The book includes the latest features, such as commenting, Lists forms, real-time presence, and an in-depth look at the mobile experience.This guidebook is designed to transform your approach to information tracking and management. It offers practical examples, scenarios, and step-by-step instructions, complemented by rich visuals. The book is ideal for enterprises seeking to boost team productivity and also for individuals who wish to manage information with friends and family. What You Will Learn Optimize information management and manage lists like a pro, with list templates, custom columns, views, and JSON customization Boost collaboration through sharing and commenting, and by employing Microsoft's security and privacy features Maintain productivity on the go by navigating and managing lists on mobile devices, keeping your information accessible anywhere Enhance productivity by connecting Microsoft Lists with other products in the Microsoft 365 ecosystem Who This Book Is ForBusiness professionals. IT administrators, and individuals keen on leveraging Microsoft Lists within the Microsoft 365 ecosystem

Use Python to develop Rasperry Pi projects to solve common digital image processing and IoT problems. Using a free IoT server yoüll tackle fundamental topics and concepts behind theses two areas. This second edition includes new content on Artificial Intelligence and updated sensor guidance to help you better explore virtual animations, create a homemade spectrometer, and master object classification with Edge Impulse.Start by creating a system to detect movement with a PIR motion sensor and a Raspberry Pi board. Use the MQ2 gas sensor and a Raspberry Pi board as a gas leak alarm system to detect dangerous explosive and fire hazards. Then train your system to send the captured data to the remote server ThingSpeak. Yoüll also develop a weather station with your Raspberry Pi. Using the DHT11 (humidity and temperature sensor) and BMP (barometric pressure and temperature sensor) in conjunction with ThingSpeak and X, you can receive real time weather alerts from your own meterological system!Spectral sensers used with the Raspberry Pi include the AS7262 (six colors), and AS7263 (near infrared) for the construction of a filter spectrometer, sensing colored solutions, and assessing plant foliage health. Finally, expand your skills into the popular machine learning world of digital image processing using OpenCV and a Pi. Make your own object classifiers and finally manipulate an object by means of an image in movement. This skillset has many applications, ranging from recognizing people or objects, to creating your own video surveillance system.With the skills gained from Sensor Projects with Raspberry Pi, you'll be well-equipped to explore other applications in mobile development and electrical engineering as well. What You'll Learn Work with ThingSpeak to receive X alerts from your systems. Cultivate skills in processing sensor inputs that are applicable to mobile and machine learning projects. Incorporate sensors into projects to make interactive devices. Experiment with virtual scenarios and objects. Create Python and Pygame games that contain virtual scenarios and animations. Detect colored solutions and assess the plant foliage health.Who This Book Is ForHobbyists and makers working with robotics and IoT. Electronic engineers and programmers who would like to expand their familiarity with basic sensor projects.

This is your guide book to Generative AI (GenAI) and its application in addressing real-world challenges within the public sector. The book addresses a range of topics from GenAI concepts and strategy to public sector use cases, architecture patterns, and implementation best practices. With a general background in technology and the public sector, you will be able to understand the concepts in this book.The book will help you develop a deeper understanding of GenAI and learn how GenAI differs from traditional AI. You will explore best practices such as prompt engineering, and fine-tuning, and architectural patterns such as Retrieval Augmented Generation (RAG). And you will discover specific nuances, considerations, and strategies for implementation in a public sector organization. You will understand how to apply these concepts in a public sector setting and address industry-specific challenges and problems by studying a variety of use cases included in the book in the areas of content generation, chatbots, summarization, and program management. What You Will Learn GenAI concepts and how GenAI differs from traditional AI/ML Prompt engineering, fine-tuning, RAG, and customizing foundation models Strategy, methodologies, and frameworks for the public sector Public sector use cases in the areas of content generation, summarization, and chatbots, plus program management, analytics, business intelligence, and reporting Architecture and design patterns Implementation, operations, and maintenance of GenAI applications Who This Book Is ForTechnology and business leaders in the public sector who are new to AI/ML and are keen on exploring and harnessing the potential of Generative AI in their respective organizations.

Are you tired of copying and pasting code into your embedded projects? Do you want to write your own code from scratch for microcontrollers and understand what your code is doing without all the frills and math? This book uses a practical approach to show you how to develop embedded systems with 8-bit PIC microcontrollers using the XC8 compiler.Written for those who want more than an Arduino, but less than the more complex microcontrollers on the market, this new edition is fully updated and covers embedded design principles such as foreground-background loops and event driven programming. Yoüll learn how to interface with things like Motors, PID loop control and writing a browser-based monitoring system! This book is heavy on code, schematics, and images and focuses less on the theoretical aspects of using microcontrollers.Coverage includes writing a display driver, using the DAC for a multitude of waveform generation techniques, and building 8-bit IoT systems, real time telemetry, a countdown timer, and new peripherals. These topics are important if you want to learn more about PIC microcontroller devices as a whole. You'll also see the advantage that MPLAB X offers by running on Windows, Mac and Linux environments. You don't need to be a command line expert to work with PIC microcontrollers, so you can focus less on setting up your environment and more on your application. If you want to move beyond the Arduino, Programming PIC Microcontrollers with XC8 is your complete guide to understanding modern PIC microcontrollers.What Yoüll Learn Set up the MPLAB X and XC8 compilers for microcontroller development Use GPIO and PPS Review EUSART and Software UART communications Use the eXtreme Low Power (XLP) options of PIC microcontrollers Explore wireless communications with WiFi and BluetoothWho This Book Is ForThose with basic electronic device and electronic equipment experience and some knowledge of the C programming and digital electronics. Also targeted towards students wanting a practical overview of microcontrollers outside of the classroom.

This book will help you comprehend the impact of artificial intelligence (AI) on information security, data privacy, and data security.The book starts by explaining the basics and setting the goals for a complete understanding of how AI, Information Security, Data Privacy, and Data Security all connect. Then, it gives you important information about the basics of AI, machine learning, and deep learning in simple terms. It also talks about the ethics of using AI in privacy and security, making sure you understand the power and responsibility that come with AI. Next, it takes you through the complex world of information security and data privacy. It covers everything from the current state of security to how AI can detect threats and protect privacy. Additionally, it delves into ethical considerations to ensure the responsible use of AI in managing data privacy. Later chapters discuss strategies and future trends in using AI for data security, finding the right balance between security and privacy, and giving useful advice for organizations.In the end, this book examines the current landscape and foresees the future, underscoring the vital importance of maintaining a balance between innovation and privacy in AI-powered security.What you will learn:How AI is being used to detect and prevent cyberattacks in real-timeWhat are the AI-powered techniques for anonymizing and de-identifying data,What are the latest advancements in AI-powered privacy-enhancing technologies (PETs)How to find the right balance between security and privacyWho this book is for:Information security professionals, data scientists, and software developers seeking to gain an understanding of the latest trends and techniques in AI for information security

Digitally restore your old photos in Photoshop for print out or to use online as still photos. This first of two volumes will show you some of the basic techniques you can use in Photoshop to preserve or repair damaged family and historical photos.In today¿s digital world of smart phones and cameras, you can easily transfer your photos from phone to computer. However, occasionally yoüre left with an old or damaged version of the image and the uncertainty of how to fix them. Aided by the sound advice and tips from author Jennifer Harder, this book will show you how to do so with just a few basic corrections in Photoshop. Using healing tools, basic color correction tools, layer masks, and workspace commands to fill in missing gaps, yoüll be able to print out an unblemished picture or post it on your social media page.A Beginner¿s Guide to Digital Image Repair in Photoshop: Volume 1 provides the know-how to help preserve your family treasures.What You Will Learn Review scanner basics for digitizing your photos Use various ¿healing¿ and color adjustment tools in Photoshop for restoring photos See how custom selections and layer masks can be used in the photo restoration process Apply various workspaces to fill in missing details in an image or merge photosWho Is This Book ForUsers who want to learn how to repair old historical photos and slides for digital presentation or for print as well as those who are interested in basic animation.

This book is your comprehensive guide to building robust Generative AI solutions using the Databricks Data Intelligence Platform. Databricks is the fastest-growing data platform offering unified analytics and AI capabilities within a single governance framework, enabling organizations to streamline their data processing workflows, from ingestion to visualization. Additionally, Databricks provides features to train a high-quality large language model (LLM), whether you are looking for Retrieval-Augmented Generation (RAG) or fine-tuning. Databricks offers a scalable and efficient solution for processing large volumes of both structured and unstructured data, facilitating advanced analytics, machine learning, and real-time processing. In today's GenAI world, Databricks plays a crucial role in empowering organizations to extract value from their data effectively, driving innovation and gaining a competitive edge in the digital age. This book will not only help you master the Data Intelligence Platform but also help power your enterprise to the next level with a bespoke LLM unique to your organization. Beginning with foundational principles, the book starts with a platform overview and explores features and best practices for ingestion, transformation, and storage with Delta Lake. Advanced topics include leveraging Databricks SQL for querying and visualizing large datasets, ensuring data governance and security with Unity Catalog, and deploying machine learning and LLMs using Databricks MLflow for GenAI. Through practical examples, insights, and best practices, this book equips solution architects and data engineers with the knowledge to design and implement scalable data solutions, making it an indispensable resource for modern enterprises. Whether you are new to Databricks and trying to learn a new platform, a seasoned practitioner building data pipelines, data science models, or GenAI applications, or even an executive who wants to communicate the value of Databricks to customers, this book is for you. With its extensive feature and best practice deep dives, it also serves as an excellent reference guide if you are preparing for Databricks certification exams. What You Will Learn Foundational principles of Lakehouse architecture Key features including Unity Catalog, Databricks SQL (DBSQL), and Delta Live Tables Databricks Intelligence Platform and key functionalities Building and deploying GenAI Applications from data ingestion to model serving Databricks pricing, platform security, DBRX, and many more topics Who This Book Is ForSolution architects, data engineers, data scientists, Databricks practitioners, and anyone who wants to deploy their Gen AI solutions with the Data Intelligence Platform. This is also a handbook for senior execs who need to communicate the value of Databricks to customers. People who are new to the Databricks Platform and want comprehensive insights will find the book accessible.

This textbook provides a comprehensive introduction to portfolio management and investments. Focusing on four core areas ¿ portfolio management, equities, bonds, and derivatives ¿ it is primarily intended for undergraduate and graduate students alike. However, it will also benefit practitioners working in the fields of financial analysis and portfolio management and professionals who aspire to such professional activities in the financial industry. To ensure its high practical relevance, the book includes a host of case studies and examples from real-world practice, mainly from the German and Swiss financial markets. Additionally, the book shows how to implement the models in Microsoft Excel.

This textbook is intended to display a broad, methodological introduction to geoinformatics and geoinformation science. It deals with the recording, modeling, processing and analysis as well as presenting and distributing of geodata. As an integrated approach it is dedicated to the multidisciplinary application of methods and concepts of computer science to solve spatial tasks. First the reader receives an introduction to the approach and tasks of geoinformatics, basic concepts and general principles of information processing as well as essentials of computer science. Then this textbook focuses on the following topics: spatial reference systems, digital spatial data, interoperability of spatial data, visualization of spatial information, data organization and database systems, geoinformation systems, remote sensing and digital image processing.The result is a comprehensive manual for studies and practical applications in geoinformatics. It serves also as a basis to support and deepen methodological courses in geography, geology, geodesy and surveying as well as all environmental sciences. In this first English edition, the author has updated and significantly expanded the fourth German edition. New additions include the development of apps, graphical presentation on the web, geodata-bases and recent methods of classification. This book is based on the original German 4th edition Geoinformatik in Theorie und Praxis by Norbert de Lange, published by Springer-Verlag GmbH Germany, part of Springer Nature in 2020 and still presents the only integrated perspective on geoinformatics and geoinformation science. This book was translated with the help of artificial intelligence (machine translation by the service DeepL.com) first and then significantly revised with regard to technical terms and special topics of geoinformatics.

With this book, Hermann Rock provides time-structured core negotiation strategies that can be immediately applied in practice. The author's expertise comes primarily from negotiations in the context of M&A transactions and management investments. However, the concepts presented are equally applicable to negotiations of financing, car purchase, lease or service contracts and thus universally applicable. Three (scientifically based) basic strategies are presented, which the reader can adapt to his or her specific negotiation situation. The examples chosen for illustration are concrete cases negotiated by the author himself. With the certainty of having understood the three basic strategies, the reader enters the negotiation with a positive basic mood and thus creates the basis for his negotiation success. Hermann Rock has successfully presented his strategies for negotiation management many times in lectures and magazines (Focus) and now presents them for the first time in book form as a consistent further development of the Harvard concept.

Here is your in-depth guide to cryptography and cryptanalysis in Java. This book includes challenging cryptographic solutions that are implemented in Java 21 and Jakarta EE 11. It provides a robust introduction to Java 21's new features and updates, a roadmap for Jakarta EE 11 security mechanisms, a unique presentation of the "hot points" (advantages and disadvantages) from the Java Cryptography Architecture (JCA), a new chapter on Quantum cryptography, and more. The book dives into the classical simple cryptosystems that form the basis of modern cryptography, with fully working solutions (encryption/decryption operations). Pseudo-random generators are discussed as well as real-life implementations. Hash functions are covered along with practical cryptanalysis methods and attacks, asymmetric and symmetric encryption systems, signature and identification schemes.The book wraps up with a presentation of lattice-based cryptography and the NTRU framework library. Modern encryption schemes for cloud and big data environments (homomorphic encryption and searchable encryption) also are included. After reading and using this book, you will be proficient with crypto algorithms and know how to apply them to problems you may encounter.   New to This Edition: The modernized Second Edition is updated to reflect the latest language features in Java 21 and Jakarta 11, along with the introduction of a new chapter on Quantum Cryptography (Chapter 6). What You Will Learn Develop programming skills for writing cryptography algorithms in Java Dive into security schemes and modules using Java Explore "good" vs "bad" cryptography based on processing execution times and reliability Play with pseudo-random generators, hash functions, etc. Leverage lattice-based cryptography methods, the NTRU framework library, and more

This book explains the field of Generative Artificial Intelligence (AI), focusing on its potential and applications, and aims to provide you with an understanding of the underlying principles, techniques, and practical use cases of Generative AI models.The book begins with an introduction to the foundations of Generative AI, including an overview of the field, its evolution, and its significance in today¿s AI landscape. It focuses on generative visual models, exploring the exciting field of transforming text into images and videos. A chapter covering text-to-video generation provides insights into synthesizing videos from textual descriptions, opening up new possibilities for creative content generation. A chapter covers generative audio models and prompt-to-audio synthesis using Text-to-Speech (TTS) techniques. Then the book switch gears to dive into generative text models, exploring the concepts of Large Language Models (LLMs), natural language generation (NLG), fine-tuning, prompt tuning, and reinforcement learning. The book explores techniques for fixing LLMs and making them grounded and indestructible, along with practical applications in enterprise-grade applications such as question answering, summarization, and knowledge-based generation.By the end of this book, you will understand Generative text, and audio and visual models, and have the knowledge and tools necessary to harness the creative and transformative capabilities of Generative AI. What You Will Learn What is Generative Artificial Intelligence? What are text-to-image synthesis techniques and conditional image generation? What is prompt-to-audio synthesis using Text-to-Speech (TTS) techniques? What are text-to-video models and how do you tune them? What are large language models, and how do you tune them? Who This Book Is ForThose with intermediate to advanced technical knowledge in artificial intelligence and machine learning

Discover a groundbreaking approach to introducing DevSecOps. DevSecOps Adventures uses three innovative games to help you to maximize engagement in your training and transform learners¿ mindsets, turning even reluctant sceptics into supporters and advocates of the DevOps culture.The book¿s first coaching game uses LEGO, Chocolate, and role cards to explore the roles and interdependencies of Dev, Ops, and Security. Readers will experience Aha! moments, expand their individual roles, develop T-shaped skills, and experiment with changing organizational culture. The simulations depict an end-to-end product delivery process, highlighting bottlenecks in the value delivery flow. Additionally, the book is updated with two new games, "Fear in the Workplace" and "Safety in the Workplace" which provide insights into safety culture, drawing inspiration from the works of Ron Westrum, William Kahn, Amy C. Edmondson, and Dr. David Rock. Through open conversations, participants learn to identify signs of a fear-ridden culture and apply safety-enhancing practices to foster a culture of experimentation and learning.This Second Edition is enhanced with real-life examples and includes the insights from important State of DevOps reports. The updated ¿Key Takeaway¿ chapter and the new FAQ chapter prepare trainers to deliver an impactful learning experience. It serves as a facilitation guide for gamified experiential learning, provides ideas for effective debriefing, and helps readers relate the issues highlighted in the coaching games to similar challenges they may face in their organizations. What You Will Learn: Gain fundamental understanding of DevOps, DevSecOps, and Safety Culture. Develop the capability to prepare, facilitate, and effectively debrief these coaching games with your teams. Showcase how playfulness can help teams bring down a "wall of confusion" between the different functional silos. Who This Book Is ForProgrammers or system admins/project managers who are new to DevOps.DevOps trainers and Agile Coaches who are interested in offering a collaborative and engaging learning experience to their teams.

Continue your Python network automation journey and delve deeper into advanced techniques and methodologies. Volume 2 of this comprehensive guide takes you beyond the essentials, equipping you with advanced skills and strategies crucial for success in network automation. Building upon the knowledge gained in Volume 1, yoüll set the stage for mastery in this dynamic field.Yoüll start by establishing a robust lab environment for advanced automation projects tailored to your needs and use practical exercises to gain valuable insights into essential networking protocols. Then automate repetitive tasks with precision and efficiency by leveraging powerful Python libraries and tools. Yoüll also see how to streamline IP address management and data center infrastructure management tasks with Python. Discover advanced techniques for network management and monitoring to optimize network performance and security.Explore the development of custom tools and applications for Cisco IOS upgrade tasks in complex network environments and put your skills to the test with real-world scenarios. All this is designed to solidify your expertise and confidence in network automation practices. Your network management capabilities will be enhanced with advanced tools, such as NetBox. Introduction to Python Network Automation Volume 2 - Stepping up provides a comprehensive roadmap to elevate your skills and excel in the dynamic field of network automation. Whether you're a seasoned professional or a newcomer to the field, this guide equips you with the tools and knowledge needed to thrive in today's network automation landscape.What You Will Learn Apply Python fundamentals and network automation strategies effectively. Utilize Python for streamlined network administration, boosting productivity. Consolidate Linux fundamentals and IP network services for enhanced network management. Practice implementing regular expressions in Python for network application development. Develop working Cisco IOS upgrading Python application in PoC environment. Explore Python's extensive applications in enterprise network automation for versatile solutions.Who This Book Is ForIT engineers and developers, network managers and students, who would like to learn network automation using Python.

Responding to the escalating demands placed on organizations and enterprises as they navigate the intricacies of cloud economics, this book offers pragmatic insights for establishing a sturdy foundation for cloud cost management. Scaling Cloud FinOps empowers you with the knowledge and strategies to harness efficient cloud technology usage to proficiently manage cloud costs, refine expenditure, and implement robust, scalable Cloud FinOps practices. At the same time, it arms engineering leaders and executives with the necessary tools to foster a culture of cost awareness critical to greater profitability. At the heart of the book lies author Sasi Kanumuri¿s #Piggy-Bank Framework, an innovative approach to cloud cost governance that offers a practical blueprint to streamline cost reporting, provisioning, and resource management through automation, efficiency, and overall financial performance. Yoüll also delve into the intricacies of the 6-factor formula, a proven approach to cloud cost management. From resource rightsizing and cost allocation models to automated guardrails and vendor management, each factor serves as a pillar to support your organization's financial goals. Looking beyond numbers, Scaling Cloud FinOps will give you the tools needed to orchestrate a cultural shift that can permeate every aspect of your organization. You'll learn how to cultivate a cost-aware engineering culture in which financial policies give every team member the knowledge and motivation to make data-driven decisions that drive efficiency, unlocking significant cost savings and cloud financial excellence. What You Will Learn Cultivate a culture of cost awareness and accountability within engineering teams, fostering collaboration and data-driven decision-making to enhance cloud efficiency Best practices from FinOps pioneers who've scaled world-class FinOps Teams at tech giants and startups Explore unique frameworks enriched with real-world case studies, providing invaluable insights into effective cloud cost management (CCM) Acquire expert techniques in cost optimization, automation, and vendor management, all proven to deliver significant savings and optimal efficacy Who This Book Is ForProfessionals and leaders across the cloud, IT, finance, and procurement industries interested in streamlining cloud expenditures, cultivating a culture of cost awareness across the organization, and establishing robust cloud cost management strategies. Whether you're a novice or seasoned in FinOps practices, this book equips you with the tools to maximize the business value of your cloud investments.

Understand how to use MLOps as an engineering discipline to help with the challenges of bringing machine learning models to production quickly and consistently. This book will help companies worldwide to adopt and incorporate machine learning into their processes and products to improve their competitiveness.The book delves into this engineering discipline's aspects and components and explores best practices and case studies. Adopting MLOps requires a sound strategy, which the book's early chapters cover in detail. The book also discusses the infrastructure and best practices of Feature Engineering, Model Training, Model Serving, and Machine Learning Observability. Ray, the open source project that provides a unified framework and libraries to scale machine learning workload and the Python application, is introduced, and you will see how it fits into the MLOps technical stack.This book is intended for machine learning practitioners, such as machine learning engineers, and data scientists, who wish to help their company by adopting, building maps, and practicing MLOps. What You'll Learn Gain an understanding of the MLOps discipline Know the MLOps technical stack and its components Get familiar with the MLOps adoption strategy Understand feature engineering Who This Book Is ForMachine learning practitioners, data scientists, and software engineers who are focusing on building machine learning systems and infrastructure to bring ML models to production

This book is a comprehensive guide to GitHub Enterprise Cloud and provides a detailed overview of how to set up, manage, administer, and configure GitHub for organizations. In addition to this, you will also learn identity management and the CI/CD pipeline.The book starts with a thorough introduction to GitHub administration and its benefits. You will then learn how to set up and manage a GitHub Enterprise account and organization, guiding administrators through each step. Next, you will go through GitHub Repository Secure Management and Best Practices along with an understanding of how to manage access to GitHub using SAML SSO. GitHub enterprise support strategies and their usage and adoption are discussed next in detail. Moving ahead, you will learn about GitHub Action and Packages followed by GitHub Copilot management. How to automate repetitive tasks and workflows using GitHub Actions and enhancing productivity is discussed in detail with the help of case studies. Towards the end, you will demonstrate securing the software development lifecycle through advanced security and use GitHub Actions for automating business processes.After reading this book, you will be able to leverage the full potential of GitHub Enterprise Cloud for your software development needs.What Will You LearnHow to set up and configure GitHub Enterprise for optimal collaboration, security, and scalability in an enterprise environment.Best practices for managing organizations, repositories, and user access permissions effectively to foster efficient teamwork and code collaboration.Strategies to implement robust CI/CD pipelines using GitHub Actions, automating build, testing, and deployment processes for faster and more reliable software delivery.Proven techniques for ensuring top-notch security and compliance, including authentication methods, access controls, and vulnerability scanning, to protect code repositories and sensitive data.Who Is This Book ForSoftware Development teams, DevOps engineers, and IT professionals who are looking to use GitHub Enterprise Cloud for code collaboration, management, and deployment.

In its updated 2nd edition, this book details the complete business process lifecycle from modeling to process enactment and improvement, taking all stakeholders into account. Includes management architectures and such standards as WfMC, SOAP, WSDL and BPEL.

With a sustainable lifestyle change based on sufficient exercise and a balanced diet, many chronic diseases (obesity, high blood pressure, diabetes, metabolic syndrome) can be alleviated, cured or their onset prevented. Those affected from chronic diseases find it difficult to change their lifestyle permanently.Intervention programs are often not geared towards sustainable behavioral change and take too little account of the individual's motivational factors. As a result, those affected revert to old patterns after a while. The applied research project "Sustainable Lifestyle Change", which is the subject of this book, deals with the question of how "sticking to" a healthy lifestyle can be supported from the perspective of motivational psychology and service orientation.This specialist book is aimed at people in the healthcare sector (health psychologists, doctors, nutritionists, etc.) as well as applied researchers and explains how affected people can be supportedin "sticking to" a healthy lifestyle. There are gaps in research and practice regarding this so-called maintenance phase of a healthy lifestyle, which this book closes: What measures successfully support those affected from chronic diseases in making sustainable lifestyle changes? What is the role of motivation and motivational orientation in maintaining a healthy lifestyle? What does the maintenance phase look like and what is the customer journey of those affected? What is the role of those affected and other stakeholders in the healthcare ecosystem in long-term lifestyle change? The findings are synthesized in a toolbox with recommendations for practitioners.

This textbook is intended for students of mathematics who have completed the foundational courses of their undergraduate studies and now want to specialize in Data Science and Machine Learning. It introduces the reader to the most important topics in the latter areas focusing on rigorous proofs and a systematic understanding of the underlying ideas.The textbook comes with 121 classroom-tested exercises. Topics covered include k-nearest neighbors, linear and logistic regression, clustering, best-fit subspaces, principal component analysis, dimensionality reduction, collaborative filtering, perceptron, support vector machines, the kernel method, gradient descent and neural networks.

This textbook provides an introduction to group theory starting from the basics, relying on geometry to elucidate its various aspects.Groups naturally manifest as symmetries of geometric shapes, such as reflections and rotations. The book adopts this perspective to provide a straightforward, descriptive explanation, supported by examples and exercises in GAP, an open-source computer algebra system. It covers all of the key concepts of group theory, including homomorphisms, group operations, presentations, products of groups, and finite, abelian, and solvable groups. The topics include cyclic and symmetric groups, dihedral, orthogonal, and hyperbolic groups, as well as the significant notion of Cayley graphs.Self-contained and requiring little beyond high school mathematics, this book is aimed at undergraduate courses and features numerous exercises. It will also appeal to anyone interested in the geometric approach to group theory.

In project-oriented companies, Project Management Offices (PMO) play an important, sometimes central role in aligning and efficiently directing the company's project management activities. These result in organization-specific structures with varied tasks, functions and organizational frameworks. The project management profession is subject to changes and new developments, such as agil, sustainability or new and evolving roles, which present challenges for present and future PMO. This book aims to provide a concise overview of the opportunities offered by PMO and the various implementation approaches. The fourth edition has been expanded to include information on integrating AI technologies and project governance structures, along with two additional case studies on PMO implementation.

Climate change, species extinction, energy and raw material shortages are global challenges that are directly linked to our economic activity. They affect our very existence and jeopardize our ability to lead a good life today and in the future, both as a society and as individuals. The range of questions for which we need answers seems limitless and finding the "right" path for global change increasingly utopian. How do we maintain an overview in the face of highly complex interrelationships and interactions? How can we distinguish the essential from the non-essential? What fundamental relationships in nature do we need to take into account? What kind of economy is appropriate? What is just? And under what conditions are people willing to change?This book offers orientation. It deals with concepts from the natural sciences, economics and philosophy - including time, thermodynamics, scarcity, responsibility and justice - which enable an understanding of the upcoming transformation to sustainability from different perspectives. Ideally, they serve as guidelines for effective decisions and show how change is possible despite immense challenges. The book is aimed at anyone who wants to contribute to the transformation towards sustainability - whether in politics, business, administration or civil society.