David w liao (16 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condición: Neu. Neuware - Git, GitHub, and Markdown: A Project-Based Guide to Version Control, Collaboration, and Modern Technical WorkflowsGit and GitHub are essential tools for modern technical work-but for beginners, learning them can feel unnecessarily complicated. Commands such as clone, branch, commit, push, pull request, and merge are much easier to understand when they are part of a meaningful workflow rather than isolated commands to memorize. This book teaches Git, GitHub, and Markdown through a practical, project-based approach designed especially for college students and other first-time users. Instead of beginning with a programming project, readers contribute to a shared Freshman Success Guide written in Markdown. As the project develops, each Git and GitHub concept is introduced at the point where it is actually needed. Readers learn how to: - Understand version control and the difference between Git and GitHub- Work with local and remote repositories- Write and preview Markdown documents- Clone a GitHub repository to a local computer- Create and switch branches for safe, independent work- Inspect changes with git status and git diff- Stage changes and create meaningful commits- Push local branches to GitHub- Open and understand pull requests- Review another contributor's work and provide constructive feedback- Revise a contribution after peer review- Merge approved changes into a shared project- Resolve simple merge conflicts- Undo common mistakes safely- Use `.gitignore` and avoid exposing sensitive information- Read repository history and troubleshoot common Git problemsThe book uses both Git commands and Visual Studio Code, helping readers understand what Git is doing while also learning a practical graphical workflow. Step-by-step activities, checkpoints, diagrams, guided workflows, project milestones, and review exercises reinforce the concepts throughout the seven chapters. Five concise appendices provide additional support, including basic command-line navigation, software installation and setup, a Git command cheat sheet, a Markdown syntax reference, and a glossary of Git and GitHub terminology. By the end of the book, readers will have experienced the complete collaborative workflow: Clone ? Branch ? Edit ? Commit ? Push ? Pull Request ? Review ? Merge More importantly, they will understand why each step exists and how the pieces fit together. Whether used in a freshman seminar, introductory computing course, applied mathematics program, technical writing course, or for independent learning, this book provides an accessible foundation for the version-control and collaboration practices used in modern academic and professional environments.…

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New. Print on Demand.

Taschenbuch. Condición: Neu. Neuware - Modern Database Foundations - From Relational Design to NoSQL, Cloud, and AI Systems introduces the principles, practices, and technologies that underpin today's database systems. The book begins with the foundations of database management, including data modeling, Entity-Relationship design, relational schemas, keys, constraints, and normalization. It then moves into practical SQL skills, MySQL programmability, Python database connectivity, application development, and core database administration. The later chapters broaden the reader's perspective beyond traditional relational systems, covering security, concurrency, recovery, NoSQL databases, cloud-native database services, and the growing role of databases in AI-powered applications. Topics such as vector databases, Retrieval-Augmented Generation, and AI-assisted database work are introduced as part of the modern data landscape. Written for students, instructors, and technology professionals, this book emphasizes both conceptual understanding and practical skills. Its goal is to help readers design reliable databases, write effective queries, build database-backed applications, and understand how database systems continue to evolve in the era of cloud computing and artificial intelligence.…

Hardcover. Condición: Brand New. 1st edition. 336 pages. 9.50x6.25x1.00 inches. In Stock.

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. Git, GitHub, and Markdown: A Project-Based Guide to Version Control, Collaboration, and Modern Technical WorkflowsGit and GitHub are essential tools for modern technical work-but for beginners, learning them can feel unnecessarily complicated. Commands such as clone, branch, commit, push, pull request, and merge are much easier to understand when they are part of a meaningful workflow rather than isolated commands to memorize. This book teaches Git, GitHub, and Markdown through a practical, project-based approach designed especially for college students and other first-time users. Instead of beginning with a programming project, readers contribute to a shared Freshman Success Guide written in Markdown. As the project develops, each Git and GitHub concept is introduced at the point where it is actually needed. Readers learn how to: Understand version control and the difference between Git and GitHubWork with local and remote repositoriesWrite and preview Markdown documentsClone a GitHub repository to a local computerCreate and switch branches for safe, independent workInspect changes with git status and git diffStage changes and create meaningful commitsPush local branches to GitHubOpen and understand pull requestsReview another contributor's work and provide constructive feedbackRevise a contribution after peer reviewMerge approved changes into a shared projectResolve simple merge conflictsUndo common mistakes safelyUse `.gitignore` and avoid exposing sensitive informationRead repository history and troubleshoot common Git problemsThe book uses both Git commands and Visual Studio Code, helping readers understand what Git is doing while also learning a practical graphical workflow. Step-by-step activities, checkpoints, diagrams, guided workflows, project milestones, and review exercises reinforce the concepts throughout the seven chapters. Five concise appendices provide additional support, including basic command-line navigation, software installation and setup, a Git command cheat sheet, a Markdown syntax reference, and a glossary of Git and GitHub terminology. By the end of the book, readers will have experienced the complete collaborative workflow: Clone Branch Edit Commit Push Pull Request Review Merge More importantly, they will understand why each step exists and how the pieces fit together. Whether used in a freshman seminar, introductory computing course, applied mathematics program, technical writing course, or for independent learning, this book provides an accessible foundation for the version-control and collaboration practices used in modern academic and professional environments. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condición: new. Paperback. Modern Database Foundations - From Relational Design to NoSQL, Cloud, and AI Systems introduces the principles, practices, and technologies that underpin today's database systems. The book begins with the foundations of database management, including data modeling, Entity-Relationship design, relational schemas, keys, constraints, and normalization. It then moves into practical SQL skills, MySQL programmability, Python database connectivity, application development, and core database administration. The later chapters broaden the reader's perspective beyond traditional relational systems, covering security, concurrency, recovery, NoSQL databases, cloud-native database services, and the growing role of databases in AI-powered applications. Topics such as vector databases, Retrieval-Augmented Generation, and AI-assisted database work are introduced as part of the modern data landscape. Written for students, instructors, and technology professionals, this book emphasizes both conceptual understanding and practical skills. Its goal is to help readers design reliable databases, write effective queries, build database-backed applications, and understand how database systems continue to evolve in the era of cloud computing and artificial intelligence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. Learn the foundations of Data Structures and Algorithms while discovering how they power modern software and Generative AI systems.Data Structures and Algorithms in the Era of GenAI presents the essential topics of a traditional undergraduate DSA course through a practical, contemporary lens. Using Python, the book explains not only how common data structures and algorithms work, but also why they matter in applications involving large language models, retrieval systems, intelligent agents, caching, ranking, and data processing.The book begins with Python and object-oriented programming foundations, then connects Big-O analysis to real-world performance measures such as latency, throughput, memory use, and scalability. It develops the major structures and algorithms step by step, including: Arrays, lists, strings, and sequence-processing patternsLinked lists, stacks, queues, and dequesTrees, binary search trees, AVL trees, and Red-Black treesHeaps and priority queuesGraph representations, traversal, shortest paths, and spanning treesHash tables, dictionaries, sets, caches, and memoizationLinear search, binary search, and search variantsClassic sorting algorithms, Timsort, partial sorting, and Top-K selectionBridge Theory with Modern AI PracticeGenerative AI examples are used to clarify the computer science rather than replace it. Readers will see how strings support prompt and response processing, queues manage requests and streaming work, heaps select the best candidates, graphs model workflows and relationships, hash tables support caching and token mappings, and searching and sorting contribute to retrieval and ranking.Who This Book Is ForDesigned for undergraduate students, self-learners, instructors, and industry practitioners, this book requires no prior background in machine learning. Its goal is to help readers move beyond memorizing complexity tables and develop the judgment to choose the right structure for a problem, analyze its tradeoffs, evaluate AI-generated code, and build software that remains efficient as it scales.Whether you are preparing for a Data Structures course, strengthening your programming foundations, or building modern AI-enabled applications, this book provides the concepts and practical reasoning needed to design better systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condición: new. Paperback. Modern Database Foundations - From Relational Design to NoSQL, Cloud, and AI Systems introduces the principles, practices, and technologies that underpin today's database systems. The book begins with the foundations of database management, including data modeling, Entity-Relationship design, relational schemas, keys, constraints, and normalization. It then moves into practical SQL skills, MySQL programmability, Python database connectivity, application development, and core database administration. The later chapters broaden the reader's perspective beyond traditional relational systems, covering security, concurrency, recovery, NoSQL databases, cloud-native database services, and the growing role of databases in AI-powered applications. Topics such as vector databases, Retrieval-Augmented Generation, and AI-assisted database work are introduced as part of the modern data landscape. Written for students, instructors, and technology professionals, this book emphasizes both conceptual understanding and practical skills. Its goal is to help readers design reliable databases, write effective queries, build database-backed applications, and understand how database systems continue to evolve in the era of cloud computing and artificial intelligence. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…