Schwartz julian (42 resultados)

Condición: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

Condición: good. Book shows general signs of use and handling. May have light wear on the cover or edges and minimal writing or highlighting. Binding remains tight, and pages are clean and readable.

Paperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

paperback. Condición: Good. 1st Edition. Corners are slightly bent. Used - Good.

Condición: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Soft cover. Condición: Very Good. Limited Edition. 1st Edition. Limited to 500 copies. This is copy number 287. Stapled bound wrappers. Wrappers show some wear, otherwise in very good condition.

Paperback. Condición: New. 1.

Soft cover. Condición: As New. 1st Edition. Trade Sized Paperback. First Printing. Excerpts from selected titles with black/white portraits of the authors. Color illustrated cover. 110 pages. AS NEW. Not read. All corners pointed. Binding tight, without stress creases and square. Without tears, creases, bumps or chips. Not marked in any way and very clean, glossy and bright. All books carefully wrapped and sent boxed. …

Hardcover. Condición: As New. Estado de la sobrecubierta: As New. 1st Edition. Volume TWO only. As new in as new dust jacket. Suitable for gift-giving. Full color illustrations throughout. No markings, no remainder mark. No jacket tears or chips and jacket not price-clipped. Stated FIRST PRINTING.

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.

Hardcover. Condición: UsedGood. Hardcover, Volume 2 only; surplus library copy with the usual stampings; re ference number written on spine and front cover; fading, soiling, and shelf wear to exterior; fading to pages; in good condition with clean text, firm binding. No dust jacket.

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.

Hardcover. Condición: As New. Estado de la sobrecubierta: As New. 1st Edition. Volume THREE only. As new in as new dust jacket. Suitable for gift-giving. Full color illustrations throughout. No markings, no remainder mark. No jacket tears or chips and jacket not price-clipped. Stated FIRST PRINTING.

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.

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

Taschenbuch. Condición: Neu. Neuware - Reactive PublishingShiny for Data Applications is a practical guide to developing interactive data tools with R and Shiny. Designed for analysts, data scientists, researchers, and technical professionals, this book explains how Shiny can be used to transform static analysis into dynamic applications that support exploration, reporting, and decision-making.Inside, readers will learn how Shiny applications are structured, how reactive programming works, and how user inputs, outputs, layouts, modules, and server logic fit together. The book covers dashboard design, data visualization, interactive filtering, analytical workflows, and the development of reusable components for more organized Shiny projects.Rather than treating Shiny as a simple dashboard layer, this guide presents it as a flexible framework for building data applications that combine statistical analysis, visualization, and user interaction. Topics include application architecture, UI design, reactive expressions, modular development, data handling, performance considerations, deployment concepts, and practical patterns for maintaining larger Shiny projects.This book is suitable for readers who already have a working knowledge of R and want to apply it in more interactive, application-oriented contexts.Topics include: Shiny application structureReactive programming conceptsUser interfaces and server logicInteractive dashboards and data toolsData visualization workflowsModules and reusable componentsApplication organization and maintenancePerformance and deployment considerationsR-based analytical app development.…

Taschenbuch. Condición: Neu. Neuware - Reactive PublishingModern databases are built on a foundation of storage design, query execution, concurrency control, indexing, memory management, and distributed systems engineering. Database Engineering with Rust is a practical technical guide to understanding how database systems work from the inside out, using Rust as the implementation language for building reliable, efficient, and maintainable data infrastructure.This book guides readers through the core components of database engineering, including storage engines, write-ahead logging, indexing structures, query parsing, execution models, transaction handling, caching, compaction, and system-level performance considerations. Rather than treating databases as black boxes, it breaks down the architectural decisions that shape how data is stored, retrieved, processed, and protected.Readers will explore how Rust's ownership model, type system, memory safety guarantees, and concurrency tools can be applied to the design of database internals and backend infrastructure. The focus is on clear engineering principles, practical system design, and implementation patterns that help developers reason about correctness, reliability, and performance in data-intensive software.Inside, readers will learn how to: Design the core architecture of a storage engineUnderstand log-structured and page-oriented storage modelsImplement indexing strategies for efficient data retrievalBuild query parsing and execution componentsReason about transactions, durability, and consistencyUse Rust for memory-safe systems programmingStructure database infrastructure for maintainability and reliabilityAnalyze trade-offs in performance, concurrency, and fault toleranceDatabase Engineering with Rust is written for software engineers, Rust developers, backend programmers, infrastructure engineers, and technically advanced readers who want to understand how modern database systems are designed and implemented. It provides a grounded path from database concepts to systems-level implementation, making it a valuable resource for anyone building data platforms, storage systems, query engines, or high-performance backend services.…

Taschenbuch. Condición: Neu. Neuware - Reactive PublishingLearn big data processing with Spark using R and Python.This book offers a practical introduction to Apache Spark for large-scale data work. It focuses on building scalable data pipelines using Sparklyr, PySpark, and Databricks.You will discover how to: - Work with large datasets using Apache Spark- Use Sparklyr to integrate Spark with R- Develop with PySpark in Python- Leverage Databricks for cloud-based Spark environments- Construct reliable data pipelines for real-world useThe book bridges the R and Python ecosystems, helping data professionals use the right language for different Spark tasks. It covers core concepts including data transformation, distributed processing, and moving projects from development to production.Written for data analysts, data scientists, and engineers who want to add Spark to their toolkit.Perfect for: Professionals looking to expand their skills in big data processing with Spark across both R and Python.…

Taschenbuch. Condición: Neu. Neuware - Reactive PublishingBridge the gap between modern deep learning and quantitative finance using PyTorch.PyTorch for Quantitative Finance provides a rigorous, hands-on guide to building, training, and deploying neural architectures across financial markets. Designed for quantitative analysts, developers, and data scientists, this book moves beyond toy datasets to address the real-world complexities of market microstructure, non-stationary time series, and continuous-time stochastic modeling.Rather than relying on black-box heuristics, you will learn how to integrate deep learning directly with mathematical finance. Discover how to leverage PyTorch to solve high-dimensional partial differential equations (PDEs), construct generative models for market simulation, and design robust algorithmic trading strategies.What You Will Learn: - Neural Stochastic Differential Equations (Neural SDEs): Model continuous-time asset dynamics and latent market trajectories using differentiable SDE solvers in PyTorch.- Deep Factor Models & Risk Management: Construct non-linear factor models to capture complex multi-asset dependencies and tail-risk exposures.- Market Simulation with Generative Models: Use GANs and Variational Autoencoders (VAEs) to generate realistic synthetic financial time series for backtesting.- Algorithmic Trading & Execution: Implement deep reinforcement learning algorithms for optimal execution, portfolio rebalancing, and dynamic hedging.- Production-Grade PyTorch Pipelines: Optimize model performance with custom C++ extensions, GPU acceleration, and efficient data loaders tailored for high-frequency time series.Whether you are implementing continuous-time models or deploying end-to-end algorithmic execution engines, this book delivers the code, theory, and architecture required to build state-of-the-art quantitative systems. …

Taschenbuch. Condición: Neu. Neuware - Reactive Publishing Rust Architecture Patterns: Designing Large-Scale Systems and Managing State Without Fighting the Borrow Checker delivers practical, battle-tested strategies for building robust, maintainable Rust applications at scale. Rust's ownership model and borrow checker are powerful guardians of memory safety, but they can feel like obstacles when architecting complex, real-world systems. This book shows you how to work with the language instead of against it. You'll master architectural patterns that keep your code clean, performant, and idiomatic even as your projects grow into large-scale services, libraries, and distributed systems. What You'll Learn: - Proven architecture patterns for organizing large Rust codebases- Effective state management techniques that respect ownership rules- Strategies for designing concurrent and asynchronous systems without borrow checker friction- Domain-driven design, modular architecture, and error handling at scale- Real-world examples of production-grade patterns used in high-performance Rust applications>Whether you're an intermediate Rust developer ready to level up or an experienced engineer tackling ambitious projects, this book provides the mental models and concrete patterns you need to design systems that feel natural in Rust, rather than fighting its rules. Stop wrestling with the borrow checker. Start building fearless, scalable Rust software.…

Taschenbuch. Condición: Neu. Neuware - Reactive PublishingUnlock the power of Bayesian methods and probabilistic programming with this clear, practical guide designed for data scientists, statisticians, and analysts working in R.This book bridges the gap between theory and real-world application by teaching you how to build, fit, and interpret hierarchical Bayesian models using Stan, the leading platform for probabilistic programming. Through hands-on examples and intuitive explanations, you'll learn how to effectively quantify uncertainty, make robust inferences, and support better decision-making under complexity.What You'll Learn: - The fundamentals of Bayesian modeling and why it outperforms traditional frequentist approaches in many modern applications- How to construct and diagnose hierarchical models for grouped, nested, and multilevel data- Practical workflows for probabilistic programming with Stan and R- Techniques for uncertainty quantification and propagation through complex models- Model comparison, validation, and communication of results for stakeholdersWritten for intermediate to advanced R users, this guide emphasizes code you can immediately apply to your own projects, whether in research, industry, or academia. Each chapter combines conceptual clarity with reproducible examples, helping you move confidently from basic Bayesian concepts to sophisticated modeling techniques.If you want to move beyond point estimates and p-values toward a more principled, uncertainty-aware approach to data analysis and decision making, this book provides the practical foundation you need.Perfect for: Data scientists, quantitative researchers, statisticians, and R programmers looking to master modern Bayesian workflows.…