Platform Engineering for Architects
Design and build Internal Developer Platforms (IDPs) with future-oriented design strategies, using the Platform as a Product mindsetKey Features: - Learn how to design platforms that create value and drive user adoption- Benefit from expert techniques for shifting to a product-centric mindset as an architect and platform team- Implement best practices to understand platform complexity, manage technical debt, and ensure its evolution- Purchase of the print or Kindle book includes a free PDF eBookBook Description: The rapid pace of technological advancements, the shortage of IT talent, and the complexity of modern systems highlight the need for structured guidance in building resilient, user-centric platforms for cloud-native environments. This book empowers platform engineers and architects to implement value-driven internal development platforms.You'll learn how to identify end users, understand their challenges, and define the purpose of a platform, with a focus on self-service solutions for modern cloud-native software development, delivery, and operations. The book incorporates real-world examples of building platforms within and for the cloud, leveraging the power of Kubernetes. You'll learn how adopting a product mindset for architecting and building platforms helps foster successful platform engineering teams. This emphasizes early end-user involvement and provides a framework that gives you the flexibility to easily adapt and extend for future use cases. The book also offers insights into building a sustainable platform without accumulating technical debt.By the end of this book, you'll be able to drive the design, definition, and implementation of platform capabilities as a product that aligns with your organizational requirements and strategy.What You Will Learn: - Make informed decisions based on your organization's platform needs- Identify missing platform capabilities and technical debt- Develop a critical user journey through your platform capabilities- Define the purpose, principles, and key performance indicators (KPIs) for your platform- Utilize relevant data points for making data-driven product decisions- Implement your own platform reference and target architecturesWho this book is for: This book is for platform architects and solutions architects seeking to enhance their skills in designing and building a platform as a product. It also offers valuable insights for decision-makers, platform engineers, and DevOps professionals. While familiarity with cloud-native concepts, CI/CD, and Kubernetes is beneficial, the book builds on these topics to address self-service, cost management, and technical debt. It's particularly suited to experts tackling the challenge of integrating diverse domains to create effective internal developer platforms with top-notch operational readiness.Table of Contents- Platform Engineering and the Art of Crafting Platforms- Understanding Platform Architecture to Build Platform as a Product- Building the Foundation for Supporting Platform Capabilities- Architecting the Platform Core - Kubernetes as a Unified Layer- Integration, Delivery, and Deployment - Automation is Ubiquitous- Build for Developers and Their Self-Service- Building Secure and Compliant Products- Cost Management and Best Practices- Choosing Technical Debt to Unbreak Platforms- Crafting Platform Products for the Future
Runtime Verification
This book constitutes the refereed proceedings of the 24th International Conference on Runtime Verification, RV 2024, held in Istanbul, Turkey, during October 15-17, 2024. The 11 full papers, 5 short papers and 2 tool papers included in this book were carefully reviewed and selected from 31 submissions. They were organized in topical sections as follows: Invited Paper; Cyber-physical Systems; Temporal Logics; Speci cation and Visualization; Deep Neural Networks; and Distributed Systems.
Technical Program Manager's Handbook - Second Edition
Explore the TPM role in depth with this revised second edition. New coverage includes advanced program management techniques, emotional intelligence, and AI integration. Join business with technology and elevate your career.Key Features: - Learn advanced system design principles and architectural concepts necessary for a TPM- Get up to speed with AI-driven project planning, risk management, and stakeholder communication tools- Benefit from practical tools, methodologies, case studies, and real-world examplesBook Description: The role of the Technical Program Manager (TPM) is crucial in the tech industry, bridging the gap between technical expertise and business acumen. The second edition of the Technical Program Manager's Handbook offers a comprehensive guide to excelling in this role. Building on the foundational concepts from the first edition, this updated version introduces new chapters that explore the integration of AI and Emotional Intelligence (EI) in program management. These crucial additions complement the broader focus of the book on bridging business and technology but don't overshadow it. You'll learn how to apply AI-driven tools to enhance project planning, risk management, and stakeholder communication, as well as how to leverage EI to build strong team relationships and improve leadership effectiveness.This book provides practical tools, methodologies, and case studies, offering insights from industry leaders to help both aspiring and practicing TPMs apply advanced concepts and strategies effectively. It also explores the unique aspects of the TPM role in major tech companies, helping you to navigate and thrive in your career.By the end of this book, you'll have a clear understanding of the TPM role, along with a breakdown of the necessary technical and program management skills, to develop a clear roadmap for your career.What You Will Learn: - Uncover the critical importance of the TPM role in the tech industry- Understand and leverage the unique aspects of the TPM role- Discover what makes a successful TPM through real-world case studies- Master project management with advanced technical skills and AI tools- Apply EI to enhance leadership and team management- Explore careers and paths for TPMs in the Big Five tech companiesWho this book is for: This book is designed for aspiring and established Technical Program Managers (TPMs), tech professionals transitioning into TPM roles, and recent graduates embarking on careers in technology consulting. It's also valuable for business analysts, project managers, and anyone supporting or working alongside TPMs. To fully benefit from this book, readers should have a basic understanding of the project management life cycle and be comfortable with technical concepts, as it dives into advanced topics and real-world applications.Table of Contents- Fundamentals of a Technical Program Manager- Pillars of a Technical Program Manager- Career Path- Harnessing the Power of Artificial Intelligence in Technical Program Management- Introduction to Program Management- Driving Toward Clarity- Plan Management- Risk Management- Stakeholder Management- Managing a Program- Understanding Emotional Intelligence in Technical Program Management- The Technical Toolset- Code Development Expectations- System Design and Architecture Landscape- Enhancing Management Using Your Technical Toolset
Leveraging Applications of Formal Methods, Verification and Validation. Reocas Colloquium in Honor of Rocce de Nicola
The ISoLA 2024 proceedings constitutes contributions of the associated events held at the 12th International Symposium on Leveraging Applications of Formal Methods, ISoLA 2024, which took place in Crete, Greece, in October 2024. ISoLA 2024 provides a forum for developers, users, and researchers to discuss issues related to the adoption and use of rigorous tools and methods for the specification, analysis, verification, certification, construction, test, and maintenance of systems from the point of view of their different application domains. This volume, Part I, contains the proceedings of the Colloquium in honor of Rocco De Nicola's 70th birthday, held jointly with the ISOLA 2024's track on REoCAS (Rigorous Engineering of Collective Adaptive Systems). Rocco De Nicola has significantly contributed to collective adaptive systems through novel approaches for their formal specification, analysis, and verification. The Colloquium features one homage paper and 23 contributions from invited authors who reflected upon these developments within the context of Rocco's much broader legacy in concurrency theory, distributed systems, domain-specific languages, service-oriented computing, and formal methods, exploring his recent contributions to cybersecurity.
Financial Data Engineering
Today, investment in financial technology and digital transformation is reshaping the financial landscape and generating many opportunities. Too often, however, engineers and professionals in financial institutions lack a practical and comprehensive understanding of the concepts, problems, techniques, and technologies necessary to build a modern, reliable, and scalable financial data infrastructure. This is where financial data engineering is needed. A data engineer developing a data infrastructure for a financial product possesses not only technical data engineering skills but also a solid understanding of financial domain-specific challenges, methodologies, data ecosystems, providers, formats, technological constraints, identifiers, entities, standards, regulatory requirements, and governance. This book offers a comprehensive, practical, domain-driven approach to financial data engineering, featuring real-world use cases, industry practices, and hands-on projects. You'll learn: The data engineering landscape in the financial sector Specific problems encountered in financial data engineering The structure, players, and particularities of the financial data domain Approaches to designing financial data identification and entity systems Financial data governance frameworks, concepts, and best practices The financial data engineering lifecycle from ingestion to production The varieties and main characteristics of financial data workflows How to build financial data pipelines using open source tools and APIs Tamer Khraisha, PhD, is a senior data engineer and scientific author with more than a decade of experience in the financial sector.
The Combined Power of Research, Education, and Dissemination
Starting with a Laurea in Ingegneria Elettronica and a PhD in Computer and Systems Engineering at the Politecnico di Torino, Tiziana has stayed faithful to her love of organized management of composable functionalities in software and systems, with building blocks and MDD, and she strives for coherence and alignment in complex systems through verification, model checking and workflow synthesis. Her quest for simplicity spans technologies (low-code/no-code; ITSy project), business (Business Model Canvas; tools for innovative business models) and disciplines with her concept of the Digital Thread, a metaphor for IT-mediated interoperation of reusable and ideally verified tools and systems in new platforms where reuse, repurposing and evolution are supported by design. Her most recent initiative, R@ISE, aims at opening the world of IT production and adaptation to a wider range of users and professions. Tiziana is a cofounder and managing editor of the International Journal on Software Tools for Technology Transfer, she cofounded the ISoLA conference, and cofounded METAFrame Technologies serving as CEO. She is a Fellow of the Society for Design and Process Science and a Fellow and President of the Irish Computer Society. Throughout her career Tiziana's successes have been motivated by how best to advance science and engineering through the implementation of techniques in challenging applications, and the contributions in this volume by leading researchers are representative of a community that shares this drive.
Reversible World of Cellular Automata
This unique comprehensive compendium provides extensive studies on reversible cellular automata (RCAs), exhibiting a wide range of interesting phenomena similar to the Game-of-Life, a well-known irreversible CA.The useful reference text also introduces innovative approaches to constructing universal computers in a reversible cellular space. Numerous figures are included to illustrate the evolution of RCA configurations, and to elucidate theoretical results on RCAs. Additionally, readers can observe evolution processes of various RCAs on the free CA simulator Golly using supplementary files.
Power Apps Tips, Tricks, and Best Practices
Create custom solutions with the help of real-world examples using data connections, advanced canvas app formulas, data filtering techniques, and integrations, including CopilotKey Features: - Understand overall project planning and manage your apps across different environments and solutions- Learn how Power Apps can be integrated with other applications to extend the functionality- Incorporate Copilot with Power Apps to create a customized solution- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Microsoft Power Apps is ideal for businesses seeking to digitally transform their operations by developing custom applications quickly and efficiently, without the heavy investment required for software development. This book leverages the authors' combined experience in Power Platform, among others, to lay down the foundation for successful app development, focusing on defining project scope and understanding requirements.In this book, you'll go through several key development areas, including solution creation and Power Platform environments, both critical areas for effective app development and deployment. You'll also discover best practices for choosing when to build a canvas app or a model-driven app based on project requirements and data connections. The chapters will take you through advanced development techniques and show you how to integrate Power Apps with other applications. You'll get a clear understanding of the key aspects of governance, security, app maintenance, and error handling, ensuring that your Power Apps solutions are not only effective but also secure and sustainable.By the end of this book, you'll have gained practical insights, technical depth, and a clear roadmap for successful Power Apps development.What You Will Learn: - Understand different data connections to define overall project planning- Explore advanced development techniques such as filtering data, using variables and collections, formulas, and conditional formatting- Uncover how Power Apps can be integrated with other apps such as Power Automate, Power BI, SharePoint, Teams, and Outlook- Find out how to apply governance and security- Discover best practices for app maintenance and handling errors- Learn how to register an app in Microsoft Azure- Set up Copilot for your project using Copilot StudioWho this book is for: This book is for business analysts, IT professionals, and both developers and non-developers. If you're interested in improving your app development skills, this book is for you. A basic understanding of Microsoft 365 and Power Apps is recommended. Familiarity with other Power Platform applications, such as Power Automate and Power BI, is helpful but not necessary.Table of Contents- Understanding Requirements and Project Planning- Working with Solutions- Power Platform Environments- Choosing the Right Tool - Navigating Canvas Apps, Power Pages, and Model-Driven Apps- Data Connections- Variables, Collections, and Data Filtering- Canvas App Formulas- Conditional Formatting and URL Deep Linking- Integration with Power Automate/Teams/Outlook- Integrating with Power BI- Integrating Power Apps with SharePoint- Integration with Power Virtual Agent/Copilot- Governance, Security, and Application Life Cycle Management- Error Handling- Registering a Power App in Azure
Recent Advances in the Message Passing Interface
This volume LNCS constitutes the refereed proceedings of 31st European MPI Users' Group Meeting, EuroMPI 2024, held in Perth, WA, Australia, during September 25-27, 2024. The 8 full papers presented here were carefully reviewed and selected from 19 submissions. These papers have been categorized under the following topical sections: Compile-time Correctness checks and optimization; Limitations and Extensions for GPGPUs in MPI; Improvements for MPI and MPI Ecosystem.
Modern C++23 QuickStart Pro
Learn the latest features of C++23 with Modern C++ 23 QuickStart Pro, the perfect book for experienced developers who want to expand their knowledge and skills. This book takes a hands-on approach, providing rapid learning through real-world examples and scenarios that address complex programming challenges in C++.The book begins by demonstrating the power of variadic templates and how to use them for dynamic function signatures. After becoming familiar with fold expressions for argument handling, you will then explore std:: tuple and std:: variant for handling heterogeneous data. The book then covers advanced function morphing with parameter packs and shape-shifting lambdas, as well as dynamic programming techniques. It also teaches complex function overloading and high-level thread orchestration using futures, promises, and callables. Next, we'll go over some low-level IO operations, such as controlling IO streams, efficiently handling file descriptors, and directly manipulating files.You will then learn how to optimize memory management with shared, unique, and weak pointers, and how to engineer memory performance with custom allocators and cache-aware programming. You will learn advanced synchronization, including atomic operations, mutexes, locks, and thread pools, as well as lock-free data structures for peak performance. In addition, this book covers optimal integer and floating-point operations, arbitrary precision arithmetic, precise rounding with fixed-point arithmetic, and high-performance computation using math constant integration.Key LearningsUtilize C++23 variadic templates for dynamic function signatures.Use fold expressions to simplify complex function operations and argument handling.Manage heterogeneous data in high-performance applications with std:: tuple and std:: variant.Use parameter packs and perfect forwarding to create flexible function signatures.Use shape-shifting lambdas for flexible argument patterns.Master file manipulation and stream management to create efficient low-level IO systems.Customize memory management with unique, shared, and weak pointers to control resources.Boost parallel processing with mutexes, locks, and thread pools.Create lock-free data structures to reduce locking overhead in concurrent systems.Use mathematical constants and precise rounding to improve numerical computations.Table of ContentPotential of Variadic Power in C++23Morphing Functions and LambdasTaming Low-Level IO OperationsMastering Buffering and Async IOOutperforming Memory ManagementEngineering Memory PerformanceAdvanced Multithreading for ExpertsThread Synchronization and Atomic MasteryTurbocharging Floats and Ints
Equity, Diversity, and Inclusion in Software Engineering
Creating an inclusive environment where different software developers can feel welcome and leverage their talents is an ethical imperative no company can ignore. Indeed, software organizations have in the last decade been trying to make changes for a more diverse and inclusive software development environment. The push for increased diversity in software has been a public one, from annual diversity reports by some of the worlds' most visible companies such as Microsoft, Google, and Facebook, to large projects such as Linux Foundation's Software Developer Diversity and Inclusion project that explores, evaluates, and promotes best practices from research and industry to increase diversity and inclusion in software engineering. Despite these many efforts, diversity remains low. Numbers from the software industry show that less than 25% of software engineers are women. Diversity is also low in regards to many other facets of diversity. This book provides an overview of research into the different aspects of diversity and inclusion in software engineering, as well as the tools, methods, and practices proposed to foster diversity and to build inclusive software teams and development environments. It describes research challenges in studying diversity and inclusion in software. Readers will be challenged to consider how they are contributing to a lack of inclusion and what they can do to improve inclusion in the software industry.What You Will Learn Aspects of diversity (e.g., age, culture, gender, race) and relationship to software engineering activities and outcomesHow to measure diversity Investigations of intersectionality in software engineering Research methods for the study of diversity and inclusion in software engineering Empirical studies of effective practices to foster diversity and inclusion in software engineering Interventions and programs that have been used to successfully support retention in software engineering Software engineering education for diverse and inclusive software engineering, and proven teaching methods/environments that support diverse and inclusive software engineering Who This Book Is For For Researchers, the book presents a state-of-the-art collection of existing studies into many aspects of diversity, methods, and tools proposed and tried out in practice, challenges in research, and contributing to a research agenda on this topic for future studies. For Industry practitioners, the book describes efforts to investigate diversity in software teams, whether in corporate or open source environments. It also describes empirical evidence about effectiveness of certain methods and approaches to foster diversity and inclusion in software development. For Educators, the book describes practices and effective changes in Computer Science/Software Engineering curricula that were found as effective in engaging learners from minoritized groups, creating inclusive software teams that are diverse, and which relate to educational material useful for training for diversity, equity, and inclusion.
Exploring Scientific Computing with Java
DESCRIPTION Java is a versatile programming language, ideal for scientific computing due to its robustness, platform independence, and extensive libraries. This book teaches you how to use Java for complex simulations and data analysis, empowering you to solve real-world problems and advance scientific research.This Java programming book offers a thorough guide, starting with core concepts like data types, operators, and object-oriented programming (OOP). It then moves into advanced topics such as multithreading for handling multiple tasks at once, exception handling to manage runtime errors, and package management for organizing large codebases. You will also learn about input/output (I/O) operations to work with external data and applet development for creating small, interactive web programs. Building on your knowledge of Java programming and scientific computing, this book is a complete guide that equips you to delve into scientific computing and actively participate in innovative research and development.KEY FEATURES ● Learn Java's data structures, algorithms, and numerical libraries.● Practical examples and exercises to solidify understanding.● MCQs with solutions are provided at the end of each chapter for practice, along with Bloom's level questions.● Miscellaneous programs using Java, like Stack, Queue, Tic-tac-toe, AES, and RSA algorithms, and socket programming, are also included.WHAT YOU WILL LEARN● Understand and code with data types, variables, arrays, and strings.● Learn iterations, conditional statements, and how to apply them.● Explore OOP with examples.● Master multithreading for multi-tasking environments.● Grasp Java exception handling and file management.WHO THIS BOOK IS FORThis book is ideal for professionals in fields such as software development, data analysis, web development, and system administration who need a strong foundation in Java programming.
Tomorrow's Systems Engineering
This book looks at systems engineering now and comments on the future. It notes the signs of deepening our understanding of the field which includes, digital engineering, interactive model-based systems, decision support frameworks, and points to a grand unified theory. The book also suggests how the systems engineer can be a better designer and architect. Offering commentaries regarding how the field of systems engineering might evolve over the next couple of decades, Tomorrow's Systems Engineering: Commentaries on the Profession looks at the potential opportunities that might lie ahead rather than making predictions for the future of the field. The book allows the reader to prepare for the future in terms of technical interest as well as competitiveness and suggests opportunities that could be significant and useful for planning actions in the careers of future systems engineers. Discussions of improvements in how we develop and use software that can help to facilitate and protect overall IT capability within the system design and system architecture are also included. This book is for systems engineers and software engineers who wish to think now about the directions the field might take in the next two decades.
Blockchain Technology in Healthcare Applications
Tremendous growth in healthcare treatment techniques and methods has led to the emergence of numerous storage and communication problems and need for security among vendors and patients. This book brings together latest applications and state-of-the-art developments in healthcare sector using Blockchain technology. It explains how blockchain can enhance security, privacy, interoperability, and data accessibility including AI with blockchains, blockchains for medical imaging to supply chain management, and centralized management/clearing houses alongside DLT. Features: Includes theoretical concepts, empirical studies and detailed overview of various aspects related to development of healthcare applications from a reliable, trusted, and secure data transmission perspective. Provide insights on business applications of Blockchain, particularly in the healthcare sector. Explores how Blockchain can solve the transparency issues in the clinical research. Discusses AI with Blockchains, ranging from medical imaging to supply chain management. Reviews benchmark testing of AI with Blockchains and its impacts upon medical uses. This book aims at researchers and graduate students in healthcare information systems, computer and electrical engineering.
Data Structures using C
The data structure is a set of specially organized data elements and functions, which are defined to store, retrieve, remove and search for individual data elements. Data Structures using C: A Practical Approach for Beginners covers all issues related to the amount of storage needed, the amount of time required to process the data, data representation of the primary memory and operations carried out with such data. Data Structures using C: A Practical Approach for Beginners book will help students learn data structure and algorithms in a focused way. Resolves linear and nonlinear data structures in C language using the algorithm, diagrammatically and its time and space complexity analysis Covers interview questions and MCQs on all topics of campus readiness Identifies possible solutions to each problem Includes real-life and computational applications of linear and nonlinear data structures This book is primarily aimed at undergraduates and graduates of computer science and information technology. Students of all engineering disciplines will also find this book useful.
Fields of Practice and Applied Solutions Within Distributed Team Cognition
Ths book represents and offers an understanding of specific fields of practice that are discovered using different methodological approaches, innovative aspects of computing and technology, and coupled with data/information science products, show how cognition emerges, is applied, and practiced in our world today.
Contemporary Research
This book covers the intersection and blending of two research areas: team cognition and distributed cognition. This book includes models, frameworks, different approaches to studying distributed team cognition, and new measures that showcase successful outcomes.
Enterprise Architecture for Strategic Management of Modern IT Solutions
This book provides guidance on how to employ enterprise architecture (EA) in deploying and managing information technology (IT) solutions from the perspectives of pragmatic strategies. It uses sociotechnical theories such as actor-network theory (ANT) and structuration theory (ST) as lenses to examine challenges and complexities of EA.
Software Durability
Software evolution is a time-consuming and costly process due to its complex architecture. Software designers need to produce software that is effective as well as durable. Durability and effectiveness of software are the foremost priorities and challenges for developers. This book comprises real-life case studies of durability issues and their solutions that bring to light loopholes and show how to fix them, to enhance durability. Existing literature on software durability tells us that the first step is to recognise the problem. It gives information about durability, risk, estimation, knowledge, and governance based on five main characteristics: dependability, trustworthiness, usability, security, and human trust. The book serves as a complete package to get acquainted with assurance and risk management from a software durability perspective. It enhances our understanding of the concept of durability, its multi-dimensional approach, threats and their types, risk, mitigation techniques, and suggestive measures. The book reviews the emerging trends in the software development process in the context of durability concepts such as automated code reviews, coding standards, and software durability standards and their testing, cost management solutions, low-code or no-code solutions, and durability assurance.
40 Algorithms Every Data Scientist Should Know
DESCRIPTION Mastering AI and ML algorithms is essential for data scientists. This book covers a wide range of techniques, from supervised and unsupervised learning to deep learning and reinforcement learning. This book is a compass to the most important algorithms that every data scientist should have at their disposal when building a new AI/ML application.It offers a thorough introduction to AI and ML, covering key concepts, data structures, and various algorithms like linear regression, decision trees, and neural networks. It explores learning techniques like supervised, unsupervised, and semi-supervised learning and applies them to real-world scenarios such as natural language processing and computer vision. With clear explanations, code examples, and detailed descriptions of 40 algorithms, including their mathematical foundations and practical applications, this resource is ideal for both beginners and experienced professionals looking to deepen their understanding of AI and ML.The final part of the book gives an outlook for more state-of-the-art algorithms that will have the potential to change the world of AI and ML fundamentals.KEY FEATURES ● Covers a wide range of AI and ML algorithms, from foundational concepts to advanced techniques.● Includes real-world examples and code snippets to illustrate the application of algorithms.● Explains complex topics in a clear and accessible manner, making it suitable for learners of all levels.WHAT YOU WILL LEARN● Differences between supervised, unsupervised, and reinforcement learning.● Gain expertise in data cleaning, feature engineering, and handling different data formats.● Learn to implement and apply algorithms such as linear regression, decision trees, neural networks, and support vector machines.● Learn to approach AI and ML challenges with a structured and analytical mindset.WHO THIS BOOK IS FORThis book is ideal for data scientists, ML engineers, and anyone interested in entering the world of AI.
Nonfunctional Requirements in Mobile Application Development
Nonfunctional Requirements in Mobile Application Development is an empirical study of how non-functional requirements get the attention of software engineers during the development of mobile apps, especially m-commerce apps, in relation to functional apps.
Foundations and Theoretical Perspectives of Distributed Team Cognition
This book looks at fundamentals, theoretical concepts, and how theory informs perspectives of thinking for distributed team cognition. The chapters yield a broad understanding of the nature of diverse thinking and insights into technologies, foundations, and theoretical perspectives of distributed team cognition.
The Art of Algorithm Design
The Art of Algorithm Design is a complementary perception of all books on algorithm design and is a roadmap for all levels of learners as well as professionals dealing with algorithmic problems. Further, the book provides a comprehensive introduction to algorithms and covers them in considerable depth, yet makes their design and analysis accessible to all levels of readers. All algorithms are described and designed with a "pseudo-code" to be readable by anyone with little knowledge of programming.This book comprises of a comprehensive set of problems and their solutions against each algorithm to demonstrate its executional assessment and complexity, with an objective to: Understand the introductory concepts and design principles of algorithms and their complexities Demonstrate the programming implementations of all the algorithms using C-Language Be an excellent handbook on algorithms with self-explanatory chapters enriched with problems and solutions While other books may also cover some of the same topics, this book is designed to be both versatile and complete as it traverses through step-by-step concepts and methods for analyzing each algorithmic complexity with pseudo-code examples. Moreover, the book provides an enjoyable primer to the field of algorithms.This book is designed for undergraduates and postgraduates studying algorithm design.
Kubernetes - An Enterprise Guide - Third Edition
Elevate your Kubernetes expertise with seamless Istio integration, cutting-edge security insights, advanced CI/CD strategies, robust Prometheus and Grafana monitoring, all while excelling in multitenancy, secrets management, and global load balancing for exceptional proficiency.Key Features: - Focuses on what you need to run Kubernetes in an Enterprise environment, based on real-world experience- Learn how to secure clusters by adding runtime security and enhancing secrets management using direct pod mounting and Vault integration- Get a firm command of Kubernetes from a dual perspective of an admin as well as a developerBook Description: Stay at the forefront of cloud-native technologies with the eagerly awaited 'Kubernetes - An Enterprise Guide, Third Edition.' Delve deep into Kubernetes and emerge with the latest insights to conquer today's dynamic enterprise challenges.This meticulously crafted edition equips you with the latest insights to skillfully navigate the twists and turns of ever-evolving cloud technology. Experience a more profound exploration of advanced Kubernetes deployments, revolutionary techniques, and expert strategies that redefine your cloud-native skillset. Discover cutting-edge topics reshaping the technological frontier like virtual clusters, container security, and secrets management. Gain an edge by mastering these critical aspects of Kubernetes and propelling your enterprise to new heights.Expertly harness Kubernetes' power for business-critical applications with insider techniques. Smoothly transition to microservices with Istio, excel at modern deployments with GitOps/CI/CD and bolster security with OPA/Gatekeeper and KubeArmor. Integrate Kubernetes with leading tools for maximum impact in a competitive landscape. Stay ahead of the technology curve with cutting-edge strategies for innovation and growth.Redefine cloud-native excellence with this definitive guide to leveraging Kubernetes. Pre-order now for a transformative journey.What You Will Learn: - Learn to manage secrets with Vault and External Secret Operator- Create multitenant clusters with vCluster for isolated environments- Monitor clusters with Prometheus and visualize metrics using Grafana- Aggregate and analyze logs centrally with OpenSearch for insights- Build a developer platform integrating GitLab and ArgoCD for CI/CD- Deploy apps in Istio service mesh and secure with OPA and GateKeeper- Secure your container runtime and halt hackers in their tracks with KubeArmor- Set up KinD clusters and optimize access with Ingress and MetalLBWho this book is for: Tech enthusiasts, DevOps aficionados, and those keen on mastering containerization will revel in the insights offered by this book. Designed for DevOps engineers, developers, and system administrators seeking to amplify their IT journey, this guide is your gateway to next-level Kubernetes expertise. While some familiarity with Docker and Kubernetes is advantageous, fear not if you're new to these concepts. A Kubernetes bootcamp is thoughtfully included, ensuring a seamless learning experience for beginners and those in need of a refresher.Table of Contents- Docker and Container Essentials- Deploying Kubernetes Using KinD- Kubernetes Bootcamp- Services, Load Balancing, and Network Policies- External DNS and Global Load Balancing- Integrating Authentication into Your Cluster(N.B. Please use the Read Sample option to see further chapters)
Machine Learning and Generative AI for Marketing
Start transforming your data-driven marketing strategies and increasing customer engagement. Learn how to create compelling marketing content using advanced gen AI techniques and stay in touch with the future AI ML landscape.Purchase of the print or Kindle book includes a free eBook in PDF formatKey Features: - Enhance customer engagement and personalization through predictive analytics and advanced segmentation techniques- Combine Python programming with the latest advancements in generative AI to create marketing content and address real-world marketing challenges- Understand cutting-edge AI concepts and their responsible use in marketingBook Description: In the dynamic world of marketing, the integration of artificial intelligence (AI) and machine learning (ML) is no longer just an advantage-it's a necessity. Moreover, the rise of generative AI (gen AI ) helps the creation of highly personalized, engaging content that resonates with the target audienceThis book provides a comprehensive toolkit for harnessing the power of gen AI to craft marketing strategies that not only predict customer behaviors but also captivate and convert, leading to improved cost per acquisition, boosted conversion rates, and increased net salesStarting with the basics of Python for data analysis and progressing to sophisticated ML and gen AI models, this book is your comprehensive guide to understanding and applying AI to enhance marketing strategies. Through engaging content and hands-on examples, you'll learn to harness the capabilities of AI to unlock deep insights into customer behaviors, craft personalized marketing messages, and drive significant business growth. Additionally, you'll explore the ethical implications of AI, ensuring that your marketing strategies are not only effective but also responsible and compliant with current standardsBy the conclusion of this book, you'll be equipped to design, launch, a nd manage marketing campaigns that are not just successful but also cutting-edge.What You Will Learn: - Master key marketing KPIs with advanced computational techniques- Use explanatory data analysis to drive marketing decisions- Leverage ML models to predict customer behaviors, engagement levels, and customer lifetime value- Enhance customer segmentation with ML and develop highly personalized marketing campaigns- Design and execute effective A/B tests to optimize your marketing decisions- Apply natural language processing (NLP) to analyze customer feedback and sentiments- Integrate ethical AI practices to maintain privacy in data-driven marketing strategiesWho this book is for: This book targets a diverse group of professionals: - Data scientists and analysts in the marketing domain looking to apply advanced AI ML techniques to solve real-world marketing challenges- Machine learning engineers and software developers aiming to build or integrate AI-driven tools and applications for marketing purposes- Marketing professionals, business leaders, and entrepreneurs who must understand the impact of AI on marketing- Reader are presumed to have a foundational proficiency in Python and a basic to intermediate grasp of ML principles and data science methodologiesTable of Contents- The Evolution of Marketing in the AI Era & Preparing Your Toolkit- Decoding Marketing Performance with KPIs- Unveiling the Dynamics of Marketing Success- Harnessing Seasonality and Trends for Strategic Planning- Enhancing Customer Insight with Sentiment Analysis- Leveraging Predictive Analytics and A/B Testing for Customer Engagement(N.B. Please use the Read Sample option to see further chapters)
Soft Computing in Renewable Energy Technologies
This book addresses and disseminates state-of-the-art research and development in the applications of soft computing techniques for renewable energy systems. In addition, our book can be considered as a reference for researchers and academics, since it will include applications of soft computing in different renewable energy systems.
System Design Guide for Software Professionals
Enhance your system design skills to build scalable and efficient systems by working through real-world case studies and expert strategies to excel in interviewsKey Features: - Comprehensive coverage of distributed systems concepts and practical system design techniques.- Insider tips and proven strategies from engineering leaders at top tech companies.- Detailed case studies of widely used applications and their system architectures.- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Building scalable software systems is more critical than ever. Yet, many software professionals struggle to navigate the complexities of system design, especially when aiming for positions at top tech companies. Written by Dhirendra Sinha, a seasoned Engineering Leader at Google with a blend of experience working at large companies such as Cisco, Oracle, and Yahoo, and Tejas Chopra, a Senior Software Engineer at Netflix, a TEDx speaker, and a Co-Founder of GoEB1, this comprehensive and authoritative resource on system design offers invaluable insights and strategies to help you excel in interviews with all major tech companies.This guide covers the basics of system design, including the principles and techniques of distributed systems, and delves into core building blocks such as distributed system theorems, attributes, and the design and implementation of system components. Following examples of popular applications such as Uber, Twitter, Instagram, Google Docs, and Netflix, you'll learn how to apply concepts to real-world scenarios. The book offers expert advice and strategies for preparing and acing system design interviews, along with a mind map/cheat sheet summarizing the key takeaways.By the end of this book, you'll be equipped with unique techniques and the confidence to solve any coding interview question.What You Will Learn: - Design for scalability and efficiency with expert insights- Apply distributed system theorems and attributes- Implement DNS, databases, caches, queues, and APIs- Analyze case studies of real-world systems- Discover tips to excel in system design interviews with confidence- Apply industry-standard methodologies for system design and evaluation- Explore the architecture and operation of cloud-based systemsWho this book is for: This book is a must-have resource for experienced software professionals, particularly those with 5-15 years of experience in building scalable distributed systems, web applications, and backend microservices. Whether you're a seasoned developer or an architect looking to deepen your expertise in system design, this book provides the insights and practical knowledge you need to excel in tech interviews and advance your career. A solid foundation in distributed systems, data structures/algorithms, and web development will help you get the most out of this comprehensive guide.Table of Contents- Basics of System Design- Distributed System Attributes- Distributed Systems Theorems and Data Structures- Distributed Systems Building Blocks: DNS, Load Balancers, and Application Gateways- Design and Implementation of System Components - Databases and Storage- Distributed Cache- Pub/Sub and Distributed Queues- Design and Implementation of System Components: API, Security, and Metrics- System Design - URL Shortener- System Design - Proximity Service- Designing a Service Like Twitter- Designing a Service Like Instagram- Designing a Service Like Google Docs- Designing a Service Like Netflix- Tips for Interviewees- System Design Cheat Sheet
The Nature of Code
All aboard The Coding Train! This beginner-friendly creative coding tutorial is designed to grow your skills in a fun, hands-on way as you build simulations of real-world phenomena with "The Coding Train" YouTube star Daniel Shiffman. What if you could re-create the awe-inspiring flocking patterns of birds or the hypnotic dance of fireflies--with code? For over a decade, The Nature of Code has empowered countless readers to do just that, bridging the gap between creative expression and programming. This innovative guide by Daniel Shiffman, creator of the beloved Coding Train, welcomes budding and seasoned programmers alike into a world where code meets playful creativity. This JavaScript-based edition of Shiffman's groundbreaking work gently unfolds the mysteries of the natural world, turning complex topics like genetic algorithms, physics-based simulations, and neural networks into accessible and visually stunning creations. Embark on this extraordinary adventure with projects involving: A physics engine Simulate the push and pull of gravitational attraction.Flocking birds Choreograph the mesmerizing dance of a flock.Branching trees Grow lifelike and organic tree structures.Neural networks Craft intelligent systems that learn and adapt.Cellular automata Uncover the magic of self-organizing patterns.Evolutionary algorithms Play witness to natural selection in your code.Shiffman's work has transformed thousands of curious minds into creators, breaking down barriers between science, art, and technology, and inviting readers to see code not just as a tool for tasks but as a canvas for boundless creativity. Whether you're deciphering the elegant patterns of natural phenomena or crafting your own digital ecosystems, Shiffman's guidance is sure to inform and inspire. The Nature of Code is not just about coding; it's about looking at the natural world in a new way and letting its wonders inspire your next creation. Dive in and discover the joy of turning code into art--all while mastering coding fundamentals along the way. NOTE: All examples are written with p5.js, a JavaScript library for creative coding, and are available on the book's website.
Knowledge Based Program Construction II
No detailed description available for "Knowledge Based Program Construction II".
The Design and Construction of Deadlock-Free Concurrent Systems
It is a difficult task to produce software that is guaranteed never to fail, but it is a vital goal for which to strive in many real-life situations. The problem is especially complex in the field of parallel programming, where there are extra things that can go wrong. A particularly serious problem is deadlock. Here, we consider how to construct systems that are guaranteed deadlock-free by design.Design rules, old and new, that eliminate deadlock are catalogued and their theoretical foundation illuminated. Then the development of a software engineering tool is described, which proves deadlock freedom by verifying adherence to these methods. The use of this tool is illustrated with several case studies.The thesis concludes with a discussion of related issues of parallel program reliability.
Modern Algorithms for Large Sparse Eigenvalue Problems
No detailed description available for "Modern Algorithms for Large Sparse Eigenvalue Problems".
Secure Data Science
This book is a useful resource for researchers, software developers, educators and managers who want to understand both the high level concepts as well as the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in Secure Data Science.
A Software Development Approach for Driving Competitiveness in Small Firms
This book tells the story of the entrepreneurial journey that small firms should take to deliver high-quality software products. By utilizing practical examples and providing several recommended solutions to decrease the likelihood of producing low quality software.
Lizard Optimization
Lizard Optimization is a technique for designing product development experiments by engaging long-tail users that seem to follow some unexplainable "lizard" logic. It can help you understand your audience better and improve your products.The method is based on the author's experience managing an online software product that grew explosively from November 2021 to November 2022. The key user metric, tracking when people are getting value from the product, increased by more than 500 times in those 12 months (times, not percent). This happened after a period of unremarkable growth and a slow decline. Looking back, the key factor in reversing the decline and unlocking exponential growth was a counter-intuitive approach to engaging users.This book is a summary of the key lessons from that crazy growth phase, synthesized into a simple process that you can apply to improve your products, and help you unlock growth, reduce churn and increase revenue. Who should read this book?This book is primarily for software product managers, product data scientists, senior engineers and anyone else involved in product management and guidance.If your role involves coming up with new feature ideas, approving or rejecting proposed changes, or supporting people who do, this is a book for you.How can Lizard Optimization help you?If your product is still looking for a market, Lizard Optimization can help you find it sooner. For products that need to grow their user base, this technique can help you reduce churn and keep customers engaged for longer. For more mature products, Lizard Optimization could uncover new feature ideas, engage overlooked categories of users, and help you address larger markets. It can also reveal interesting ideas for increasing customer lifetime value. AuthorGojko Adzic is a partner at Neuri Consulting LLP. He is one of the 2019 AWS Serverless Heroes, the winner of the 2016 European Software Testing Outstanding Achievement Award, and the 2011 Most Influential Agile Testing Professional Award. Gojko's book Specification by Example won the Jolt Award for the best book of 2012, and his blog won the UK Agile Award for the best online publication in 2010.Gojko is a frequent speaker at software development conferences and one of the founders of MindMup and Narakeet.
8051 Microcontroller- Programming and Practice
This brings us to the "8051 Microcontroller - Programming and Practice." This is a book aimed at introducing the reader to the 8051 microcontrollers. Written to both programming and application development, this book intends to teach its readers how to utilize the potentials of 8051 microcontroller in their projects. The 8051 microcontroller is well known for its performance, flexibility, and reliability, and has been widely used in embedded systems for many years now. The fact that electronics and industrial automation is replete with applications invoking the Fourier transform underlines its relevance to present day society. By gaining proper knowledge and having control over all those details of 8051 microcontroller programming, one gets the gateway to explore numerous ideas and construct unique solutions and applications.
Mastering Git - Second Edition
Harness the full power of the Git version control system, gaining insights into Git best practices and strengthening your understanding of its architecture, underlying concepts, and behaviorKey Features: - Set up Git for solo and collaborative development as well as for code, documentation, configuration, or data- Leverage the Git version control system to customize and extend existing recipes, and write your own- Discover how to efficiently manage large and complex repositories- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Developers often feel overwhelmed by complex version control issues, especially when managing large repositories. This updated second edition of our Git guide empowers you to tackle these challenges head-on and emerge as a Git pro.The book gets you up to speed with the latest Git version, its features, and advanced branching techniques, helping you master complex development scenarios. A new chapter on tackling challenges while managing large repositories has been added, providing invaluable strategies for efficient version control with Git. The book goes beyond the basics to take you through Git's architecture, behavior, and best practices in depth. The chapters help you develop a clear understanding of customizing workflows, creating unique solutions, and tackling any version control hurdle. As you advance, you'll explore a wide range of functionalities, from examining project history to collaborating seamlessly with teammates. Detailed descriptions guide you through managing your work, collaborating with others, administering Git, and navigating project history.By the end of this book, you'll have become a Git pro and be confident enough to handle advanced branching, manage large repositories, customize workflows, collaborate effectively, and troubleshoot any version control issues.What You Will Learn: - Explore project history and find revisions using different criteria- Manage your working directory and staging area- Set up repositories and branches for collaboration- Configure and set up support for the chosen workflow- Submit your own contributions and integrate contributions made by others- Customize Git behavior system-wide, from per-user to per-file basis- Perform Git administration to set up and manage repositories Who this book is for: This book is for developers looking to elevate their Git skills beyond the basics. Whether you're a seasoned developer or just getting started with version control, this book will help you leverage Git for efficient collaboration, code management, and improved workflows. The book also equips DevOps professionals with the knowledge they need to configure Git for seamless integration within DevOps workflows, enabling smoother collaboration between development and operations teams.Table of Contents- Git Basics in Practice- Developing with Git- Managing Your Worktrees- Exploring Project History- Searching Through the Repository- Collaborative Development with Git- Publishing Your Changes- Advanced Branching Techniques- Merging Changes Together- Keeping History Clean- Managing Subprojects- Managing Large Repositories- Customizing and Extending Git- Git Administration- Git Best Practices
Software Engineering and Formal Methods. Sefm 2023 Collocated Workshops
This volume constitutes the papers of two workshops which were held in conjunction with the 21st International Workshop on Software Engineering and Formal Methods, SEFM 2023 Collocated Workshops, held in Eindhoven, The Netherlands, on November 6-10, 2023 The 10 full papers presented in this book were carefully reviewed and selected from 16 submissions. SEFM 2023 Collocated Workshops presents the following two workshops: 5th International Workshop on Cognition: Interdisciplinary Foundations, Models and Applications (CIFMA 2023) 11th International Workshop on Open Community approaches to Education, Research and Technology (OpenCERT 2023)
15 Math Concepts Every Data Scientist Should Know
Create more effective and powerful data science solutions by learning when, where, and how to apply key math principles that drive most data science algorithmsKey Features: - Understand key data science algorithms with Python-based examples- Increase the impact of your data science solutions by learning how to apply existing algorithms- Take your data science solutions to the next level by learning how to create new algorithms- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Data science combines the power of data with the rigor of scientific methodology, with mathematics providing the tools and frameworks for analysis, algorithm development, and deriving insights. As machine learning algorithms become increasingly complex, a solid grounding in math is crucial for data scientists. David Hoyle, with over 30 years of experience in statistical and mathematical modeling, brings unparalleled industrial expertise to this book, drawing from his work in building predictive models for the world's largest retailers.Encompassing 15 crucial concepts, this book covers a spectrum of mathematical techniques to help you understand a vast range of data science algorithms and applications. Starting with essential foundational concepts, such as random variables and probability distributions, you'll learn why data varies, and explore matrices and linear algebra to transform that data. Building upon this foundation, the book spans general intermediate concepts, such as model complexity and network analysis, as well as advanced concepts such as kernel-based learning and information theory. Each concept is illustrated with Python code snippets demonstrating their practical application to solve problems.By the end of the book, you'll have the confidence to apply key mathematical concepts to your data science challenges.What You Will Learn: - Master foundational concepts that underpin all data science applications- Use advanced techniques to elevate your data science proficiency- Apply data science concepts to solve real-world data science challenges- Implement the NumPy, SciPy, and scikit-learn concepts in Python- Build predictive machine learning models with mathematical concepts- Gain expertise in Bayesian non-parametric methods for advanced probabilistic modeling- Acquire mathematical skills tailored for time-series and network data typesWho this book is for: This book is for data scientists, machine learning engineers, and data analysts who already use data science tools and libraries but want to learn more about the underlying math. Whether you're looking to build upon the math you already know, or need insights into when and how to adopt tools and libraries to your data science problem, this book is for you. Organized into essential, general, and selected concepts, this book is for both practitioners just starting out on their data science journey and experienced data scientists.Table of Contents- Recap of Mathematical Notation and Terminology- Random Variables and Probability Distributions- Matrices and Linear Algebra- Loss Functions and Optimization- Probabilistic Modeling- Time Series and Forecasting- Hypothesis Testing- Model Complexity- Function Decomposition- Network Analysis- Dynamical Systems- Kernel Methods- Information Theory- Non-Parametric Bayesian Methods- Random Matrices
Python 3, Essentials for Beginners, Volume 1
Master Python ProgrammingDiscover a top-rated Python programming course with our beginner-friendly book, designed for Python 3. This clear and concise guide provides essential information without overwhelming details. Perfect for middle and high school students, college students, educators, and anyone passionate about coding. This is the most popular Python course in Romania, a best seller on the educational market! Whether you're new to programming or have some experience, this book is tailored to help you become a skilled Python programmer. Start your coding journey today!Who is this course for?★ Middle school and high school students★ Computer Science and IT teachers★ Students at relevant faculties★ Anyone interested in learning the Python language★ Anyone who wants to start with an easy-to-learn programming language★ Learn a new programming language at any age!Why Learn Python?The Python language is widely used today, being very popular, easy to learn, and user-friendly. Python is free, open-source, and strongly object-oriented. It is simple and minimalist, close to pseudocode, allowing you to focus on solving the problem rather than on the language itself. Starting from middle school, students learn programming at school. Unlike other languages, Python 3 has simplified syntax, making it much easier to write code! It is perfect for beginners, user-friendly, and future-oriented. Embark on your Python programming journey today and transform your skills with "Python 3, Essentials for Beginners, Volume 1". Get your copy now and start coding with confidence!
Azure Bicep QuickStart Pro
"Azure Bicep QuickStart Pro" is a handy reference for getting up and running with the Azure Bicep platform and deploying your first projects quickly and easily. Starting with the basics, this book walks you through the syntax of JSON and the templates available in Azure Resource Manager (ARM). With Bicep's declarative syntax and structure, you'll be up and running in no time, making infrastructure code management a breeze.Parameters, conditions, and loops are some of the Bicep features that you will learn how to use to manage infrastructure deployments. Reusable module definition, decomposing complicated deployments into manageable components, and Bicep integration with CI/CD pipelines are all covered in the book. You will automate deployments and maintain consistency across development, staging, and production environments by utilizing GitHub Actions and Azure DevOps. To deal with deployment failures and minimize downtime, the book offers rollback and rollforward strategies, which are based on real-world problems.Additionally, Blue-Green Deployments are covered, which involve running two identical production environments to reduce risk during updates. Managing dependencies, securely handling secrets, and monitoring and auditing your deployments are all within your reach with the help of practical solutions and troubleshooting techniques. When you finish this book, you will be able to confidently and efficiently deploy Azure resources.Key LearningsLearn the ins and outs of Azure deployments using ARM templates written in JSON syntax.Efficiently manage your infrastructure by mastering Bicep's declarative syntax.Create a system of parameters, conditions, and loops to deploy resources dynamically.Decompose complex deployments into Bicep modules that can be reused.Create CI/CD pipelines to automate deployments with Azure DevOps and GitHub Actions.Distribute to various environments to ensure uniformity in staging, production, and development.Master the art of handling deployment failures with rollback and rollforward strategies.Make use of Blue-Green Deployments to reduce update risk.Use Azure Key Vault to safely store sensitive information in Bicep templates.
Formal Methods
The open access book set LNCS 14933 + 14934 constitutes the refereed proceedings of the 26th International Symposium on Formal Methods, FM 2024, which took place in Milan, Italy, in September 2024. The 51 full and 4 short papers included in these proceedings were carefully reviewed and selected from 219 submissions. They also include 2 invited talks in full paper length and 10 tutorial papers. The contributions were organized in topical sections as follows: Part I: Invited papers; fundamentals of formal verification; foundations; learn and repair; programming languages.- logic and automata; Part II: Tools and case studies; embedded systems track; industry day track; tutorial papers.
Love of Objects
Objectophilia: Exploring the Intriguing World of Human-Object Relationships. A fascinating look into the world of objectophilia and the sexual attraction to objects. Part of the 'fetish series'.
C# 12 for Cloud, Web, and Desktop Applications
DESCRIPTION The world of application development is constantly changing with the rise of open-source languages and technologies. Since Microsoft made the .NET platform and C# open-source in 2014, a vibrant community of developers has contributed to the language's evolution on GitHub. Microsoft releases a new version of .NET every year, leading to newer patterns, frameworks, and design approaches in active application development. Learn C# 11 & 12 and use Entity Framework Core for data management. Explore cloud development with Azure Functions, Azure SQL Database, Cosmos DB, and Blob Storage. Implement async communication with Azure Service Bus and secure apps with Azure Key Vault. Build web apps with Blazor and ASP.NET, and add real-time features with SignalR. Discover microservices with Web APIs, and streamline your workflow using Azure DevOps and Docker. Develop applications for mobile, desktop, and Windows with .NET MAUI, Blazor Hybrid, and WinUI.Upon completion, readers will have a solid understanding of the latest C# features and how they fit into current design approaches. The book is not intended to be an exhaustive reference on the subject, but rather a jumping-off point for developers with some experience to begin working with the newest concepts. WHAT YOU WILL LEARN● Learning the fundamentals of C# 12 programming language.● Understanding advanced concepts like LINQ and asynchronous programming.● Building web applications using ASP.NET Core, MVC and Blazor.● Crafting cross-platform desktop applications using .NET MAUI.● Unit testing using NUnit for robust code validation. WHO THIS BOOK IS FORThis book is geared towards intermediate to advanced .NET developers and software engineers seeking to expand their skill set in building modern cloud-based applications, web apps, and mobile experiences.
Tools and Skills for .NET 8
Elevate your career by mastering key .NET tools and skills, including debugging, source code management, testing, cloud-native development, intelligent apps and more.Purchase of the print or Kindle book includes a free PDF eBook.Key features: - Coverage of key .NET tools and skills including refactoring, source code management, debugging, memory troubleshooting, and more- Practical guidance on using code editors effectively, implementing best practices, and protecting data- Explore cutting-edge techniques like building intelligent apps, cloud native development with .NET Aspire, and Docker containerizationBook Description: Unlock the full potential of .NET development with Tools and Skills for .NET 8.Dive into source code management using Git and learn how to navigate projects while ensuring version control. Discover advanced debugging techniques and troubleshooting strategies to identify and resolve issues, and gain practical insights on documenting your code, APIs, and services, fostering project clarity and maintainability. Delve into the world of cryptography, ensuring confidentiality and integrity throughout your development lifecycle.Elevate your skills as you explore cutting-edge topics such as building intelligent apps using custom LLM-based chat services, mastering dependency injection, optimizing performance through testing, and Docker containerization. Harness the power of cloud-native development with .NET Aspire, unlocking the benefits of modern cloud platforms. With guidance on software architecture best practices, this book empowers you to build robust, scalable and maintainable applications.Advance your career with invaluable insights on job readiness and interview preparation, positioning yourself as a top-tier candidate in today's competitive job market.Whether you're a seasoned .NET professional or an aspiring developer looking to enhance your skills, this book is your ultimate companion on the journey to .NET mastery.What You Will Learn: - Make the most of code editor tools for efficient development- Learn advanced debugging techniques and troubleshooting strategies- Understand how to protect data and applications using cryptography- Build a custom LLM-based chat service- Discover how to master dependency injection- Optimize performance through benchmarking and testing- Delve into cloud-native development using .NET Aspire- Advance your career with advice on job readiness and interviewsWho this book is for: .NET professionals seeking to enhance their expertise, as well as aspiring developers aiming to advance their careers in the field. This book caters to individuals eager to master essential .NET tools, refine their development practices, explore advanced techniques and cutting-edge tools, and prepare themselves for job opportunities and interviews in the competitive landscape of .NET developmentTable of Contents- Introducing Tools and Skills for .NET- Making the Most of the Tools in your Code Editor- Source Code Management Using Git- Debugging and Memory Troubleshooting- Alerts, Metrics, and Logging for Observability- Documenting Code, APIs, and Services- Observing and Modifying Code Execution Dynamically- Protecting Data and Apps Using Cryptography- Building a Custom LLM-based Chat Service- Dependency Injection, Containers and Service Lifetime- Unit Testing and Mocking- Integration and Security Testing- Benchmarking Performance, Load, and Stress Testing- (N.B. Please use the Read Sample option to see further chapters)
Neural-Symbolic Learning and Reasoning
This book constitutes the refereed proceedings of the 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024, held in Barcelona, Spain during September 9-12th, 2024. The 30 full papers and 18 short papers were carefully reviewed and selected from 89 submissions, which presented the latest and ongoing research work on neurosymbolic AI. Neurosymbolic AI aims to build rich computational models and systems by combining neural and symbolic learning and reasoning paradigms. This combination hopes to form synergies among their strengths while overcoming their complementary weaknesses.
Neural-Symbolic Learning and Reasoning
This book constitutes the refereed proceedings of the 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024, held in Barcelona, Spain during September 9-12th, 2024. The 30 full papers and 18 short papers were carefully reviewed and selected from 89 submissions, which presented the latest and ongoing research work on neurosymbolic AI. Neurosymbolic AI aims to build rich computational models and systems by combining neural and symbolic learning and reasoning paradigms. This combination hopes to form synergies among their strengths while overcoming their complementary weaknesses.
Spring Boot 3.0 Crash Course
This Spring Boot 3.0 Crash Course will teach you all you need to know to create powerful Spring applications with the latest version of the framework. You will be able to create any feature that an application may require because this book covers everything from the fundamentals to advanced features.First things first: get your development environment ready and build your very first Spring Boot App. Data access, security, configuration, and testing are some of the more advanced subjects you'll cover as you go along. This crash course will teach you how to create RESTful services, use Spring Data JPA to integrate different types of data, and work with properties and YAML files to oversee configurations. You practice to manage application properties, get into the application of annotations, and master the Spring MVC architecture. It will teach you to manage form submissions, validate user input, and construct dynamic web pages using Thymeleaf templates. The book also covers topics like integrating front-end frameworks, handling errors, and deploying applications to cloud platforms and Kubernetes.Issues with configuring URL authorization, implementing JWT authentication, and integrating with OAuth2 and OpenID Connect are some of the critical problems that are being solved in this book. Methods for troubleshooting auto-configuration issues, managing environment variables in Docker, and making use of performance testing tools such as JMeter are all topics that will be covered. Additionally, the book delves into the topic of how to integrate with Active Directory and LDAP for centralized user management and authentication.Key LearningsIntegrate various data sources and construct strong RESTful services with the help of Spring Data JPA.Get to know Spring Boot's properties and YAML files to set up customizable apps.Use Spring Security and JWT tokens to implement secure authorization and authentication.Use Thymeleaf templates to build interactive websites and easily handle form submissions.Use Kubernetes and cloud platforms to effortlessly deploy Spring Boot applications.Use Docker to manage environment variables and JMeter to optimize application performance.Table of ContentUp and Running with Spring BootBuilding First Spring Boot AppConfiguration and PropertiesSpring Boot Packaging and DeploymentSpring Boot Auto-configurationData Access with Spring Data JPABuilding Web ApplicationsTesting Spring Boot ApplicationsSecurity in Spring Boot
