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 Название: Data Science with Python: From Data Wrangling to Visualization
Автор: Laszlo Bocso
Издательство: Independently published
Год: 2024
Страниц: 544
Язык: английский
Формат: pdf, epub
Размер: 10.9 MB
Unlock the power of Data Science with Python in this comprehensive guide that takes you from beginner to advanced practitioner. Whether you're an aspiring data scientist, a seasoned analyst looking to expand your skillset, or a software developer venturing into the world of data, this book is your roadmap to mastering the essential tools and techniques of modern Data Science. In today's data-driven world, the ability to extract meaningful insights from vast amounts of information is a critical skill. "Data Science with Python" provides a structured approach to learning, covering the entire data science pipeline from data collection to visualization and deployment. Starting with the basics of Python programming, you'll quickly progress to working with powerful libraries such as Pandas, NumPy, and Scikit-learn. Through hands-on examples and real-world projects, you'll gain practical experience. | |
Разместил: Ingvar16 6-12-2024, 11:33 | Комментарии: 0 | Подробнее
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 Название: Data Visualization in R and Python
Автор: Marco Cremonini
Издательство: Wiley
Год: 2025
Страниц: 576
Язык: английский
Формат: epub
Размер: 98.2 MB
Communicate the data that is powering our changing world with this essential text. The advent of Machine Learning and neural networks in recent years, along with other technologies under the broader umbrella of ‘Artificial Intelligence,’ has produced an explosion in Data Science research and applications. Data Visualization, which combines the technical knowledge of how to work with data and the visual and communication skills required to present it, is an integral part of this subject. The expansion of Data Science is already leading to greater demand for new approaches to Data Visualization, a process that promises only to grow. Data Visualization in R and Python offers a thorough overview of the key dimensions of this subject. Beginning with the fundamentals of data visualization with Python and R, two key environments for data science, the book proceeds to lay out a range of tools for data visualization and their applications in web dashboards, Data Science environments, graphics, maps, and more. With an eye towards remarkable recent progress in open-source systems and tools, this book offers a cutting-edge introduction to this rapidly growing area of research and technological development. | |
Разместил: Ingvar16 6-12-2024, 01:50 | Комментарии: 0 | Подробнее
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 Название: Learn Haskell by Example
Автор: Philipp Hagenlocher
Издательство: Manning Publications
Год: 2025
Страниц: 456
Язык: английский
Формат: epub
Размер: 10.6 MB
Learn Haskell by doing Haskell projects! In this book, you’ll get practical experience writing Haskell code and applying functional programming to actual development challenges. In Learn Haskell by Example, you’ll build your Haskell skills by working through hands-on challenges and conundrums. You’ll learn to look at each project through a Haskell lens, and then solve it using features like lazy evaluation, immutable data structures, and monads. Haskell is a language that, from the outside, may seem shrouded in mystery, academic vocabulary, and foreign concepts. While some of that is true, I fully believe you don’t have to have a PhD in mathematics to get things done with the language. It’s only a matter of the right introduction. It’s possible to start writing real programs very quickly with Haskell, and that is what this book is primarily about. | |
Разместил: Ingvar16 6-12-2024, 00:53 | Комментарии: 0 | Подробнее
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 Название: The Definitive Guide to Modern Java Clients with JavaFX: Cross-Platform Mobile and Cloud Development Updated for JavaFX 21 and 23, 3rd Edition
Автор: Stephen Chin, Johan Vos, James Weaver
Издательство: Apress
Год: 2024
Страниц: 622
Язык: английский
Формат: pdf
Размер: 18.1 MB
Build enhanced visual experiences and design and deploy modern, easy-to-maintain, client applications across a variety of platforms. This book will show you how these applications can take advantage of JavaFX's latest user interface components, 3D technology, and cloud services to create immersive visualizations and allow high-value data manipulation. This book is a professional reference for building Java applications for desktop, mobile, and embedded in the Cloud age. It offers end-to-end coverage of the latest features in JavaFX 21 and 23. This third edition has been updated to include new features introduced in JavaFX 21 and 23, including NEW APIs: Map, FlatMap, and OrElse fluent bindings for ObservableValue, along with the new Subscription API. Additionally, it's updated to account for new bug fixes and overall improvements to existing functionality in Java. For professional Java developers who are interested in learning the latest client Java development techniques to fill out their skills set. | |
Разместил: Ingvar16 6-12-2024, 00:24 | Комментарии: 0 | Подробнее
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 Название: R for Basic Biostatistics in Medical Research
Автор: Anand Srinivasan, Archana Mishra, Praveen Kumar-M
Издательство: Springer
Год: 2024
Страниц: 307
Язык: английский
Формат: pdf (true), epub
Размер: 29.3 MB
The scientific community at the global level is fast becoming aware of the rising use of open-source tools such as R and Python for data analysis. Unfortunately, in spite of the awareness, the conversion of the intrigue to the practical knowledge in utilization of the open-source tools for routine day-to-day data analysis is seriously lacking both among physicians and medical scientists. This book enables physician-scientists to understand the complexity of explaining a programming/ data-analytic language to a healthcare professional and medical scientist. It simplifies and explains how R can be used in medical projects and routine office works. It also talks about the methodologies to convert the knowledge to practice. The book starts with the introduction to the structure of R programming language in the initial chapters, followed with explanations of utilizing R in the basics of data analysis like data importing and exporting, operations on a data frame, parametric and non-parametric tests, regression, sample size calculation, survival analysis, receiver operator characteristic analysis (ROC) and techniques of randomization. | |
Разместил: Ingvar16 6-12-2024, 00:01 | Комментарии: 0 | Подробнее
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 Название: Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Systems Using Kubernetes, 2nd Edition
Автор: Brendan Burns
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 250
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB
Every distributed system strives for reliability, performance, and quality, but building such a system is hard. Establishing a set of design patterns enables software developers and system architects to use a common language to describe their systems and learn from the patterns and practices developed by others. The popularity of containers and Kubernetes paves the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help guide the systems you build using common patterns and practices drawn from some of the highest performing distributed systems in use today. These common patterns make the systems you build far more approachable and efficient, even if you've never built a distributed system before. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. | |
Разместил: Ingvar16 5-12-2024, 17:58 | Комментарии: 0 | Подробнее
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 Название: Full Stack Development with Microsoft Blazor: Building Web, Mobile, and Desktop Applications in .Net 8 and Beyond, 4th Edition
Автор: Peter Himschoot
Издательство: Apress
Год: 2024
Страниц: 697
Язык: английский
Формат: pdf
Размер: 18.6 MB
Become a full-stack web developer using the Microsoft Blazor framework and the techniques shown in this book. This new edition will have you building all kinds of applications in C# and Microsoft .NET 8, from static web sites to fully interactive single page applications, and desktop and mobile applications, in no time. At it's core, this book teaches you to build user interfaces and present data to a user for display and modification, capturing the user’s changes via data binding. The book shows you how to access a rich library of .NET functionality such as a component modeling for building composable user interfaces—including developing reusable components that can be used across many pages and websites. New for this edition, the book now covers server communication using SignalR and/or gRPC, the use of virtualization to load large quantities of data efficiently, deployment and ahead-of-time compilation into WASM, new unit testing features, security using OpenID Connect, and more features added in Blazor in .NET 8. | |
Разместил: Ingvar16 5-12-2024, 17:03 | Комментарии: 0 | Подробнее
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 Название: Engineering Data Analysis with MATLAB
Автор: Tanvir Mustafy, Tauhid Rahman, Nafisa Siddiqui
Издательство: CRC Press
Год: 2024
Страниц: 903
Язык: английский
Формат: pdf (true)
Размер: 93.7 MB
This book provides a concise overview of a variety of techniques for analyzing statistical, scientific, and financial data, using MATLAB to integrate several approaches to data analysis and statistics. The chapters offer a broad review of computational data analysis, illustrated with many examples and applications. Topics range from the basics of data and statistical analysis to more advanced subjects such as probability distributions, descriptive and inferential statistics, parametric and non-parametric tests, correlation, and regression analysis. Each chapter combines theoretical concepts with practical MATLAB applications and includes practice exercises, ensuring a comprehensive understanding of the material. With coverage of both basic and more complex ideas in applied statistics, the book has broad appeal for undergraduate students up to practicing engineers. | |
Разместил: Ingvar16 5-12-2024, 12:50 | Комментарии: 0 | Подробнее
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 Название: Practical C++ STL Programming: Real-world Applications With C++20 and C++23
Автор: Daniel Kusswurm
Издательство: Apress
Год: 2024
Страниц: 933
Язык: английский
Формат: True PDF, True EPUB
Размер: 11.4 MB
Learn how to use the classes, algorithms, and other programming constructs of C++ STL. This comprehensive and practical guide covers a broad range of STL programming topics and highlights numerous programming constructs from the C++20 and C++23 standards. Mastering use of STL can be daunting for both new and experienced C++ programmers. This book is accompanied by over 100 source code examples, designed to accelerate learning by emphasizing practical use cases. It coincides with the C++20 and C++23 standards and works with any OS platform that supports these standards including Windows (Visual C++), Linux (GNU C++) and macOS (clang). After reading Practical C++ STL Programming, you’ll be able to exploit the computational capabilities of STL to implement a wide variety of software algorithms and solve unique programming challenges. For software developers and programmers who understand the basic syntax and semantics of C++ and want/need to learn how to use STL’s classes and algorithms, or programmers who have experience using STL as specified by the C++11/14/17 standards and are interested in learning how to use the new STL classes and algorithms of C++20/23. | |
Разместил: Ingvar16 5-12-2024, 05:14 | Комментарии: 0 | Подробнее
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 Название: Privacy and Security for Large Language Models: Hands-On Privacy-Preserving Techniques for Personalized AI (Early Release)
Автор: Baihan Lin
Издательство: O’Reilly Media, Inc.
Год: 2024-11-20
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB
As the deployment of AI technologies surges, the need to safeguard privacy and security in the use of large language models (LLMs) is more crucial than ever. Professionals face the challenge of leveraging the immense power of LLMs for personalized applications while ensuring stringent data privacy and security. The stakes are high, as privacy breaches and data leaks can lead to significant reputational and financial repercussions. This book serves as a much-needed guide to addressing these pressing concerns. Dr. Baihan Lin offers a comprehensive exploration of privacy-preserving and security techniques like differential privacy, federated learning, and homomorphic encryption, applied specifically to LLMs. With its hands-on code examples, real-world case studies, and robust fine-tuning methodologies in domain-specific applications, this book is a vital resource for developing secure, ethical, and personalized AI solutions in today's privacy-conscious landscape. | |
Разместил: Ingvar16 4-12-2024, 23:08 | Комментарии: 0 | Подробнее
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