Название: Core Java, Volume II: Advanced Features (Final), 13th Edition
Автор: Cay S. Horstmann
Издательство: Oracle Press/Pearson Education
Год: 2024
Страниц: 992
Язык: английский
Формат: True EPUB (Retail Copy)
Размер: 15.4 MB

Core Java is the leading no-nonsense tutorial and reference for experienced programmers who want to write robust Java code for real-world applications. Now, Core Java, Volume II: Fundamentals, Thirteenth Edition, has been revised to cover the new features and enhancements in the Java 21 long-term support release. As always, all chapters have been completely updated, outdated material has been removed, and the new APIs are covered in detail. This volume focuses on the advanced topics that a programmer needs to know for professional software development and includes authoritative coverage of enterprise programming, networking, databases, security, internationalization, and native methods, as well as complete chapters on the Streams, XML, Date and Time, Scripting, and Compilation APIs. In addition, the chapters on Swing and Graphics cover techniques that are applicable to both client-side user interfaces and server-side generation of graphics and images.

Название: Core Java, Volume I: Fundamentals (Final), 13th Edition
Автор: Cay S. Horstmann
Издательство: Oracle Press/Pearson Education
Год: 2024
Страниц: 840
Язык: английский
Формат: True EPUB (Retail Copy)
Размер: 11.3 MB

The Classic Guide to the Java Programming Language—Fully Updated through Java 21. Whatever version of Java you are using, Core Java, Volume I: Fundamentals, Thirteenth Edition, will help you achieve a deep and practical understanding of the language and APIs. With hundreds of realistic examples, Java Champion Cay S. Horstmann demonstrates the most powerful and effective ways to get the job done. Written for experienced programmers looking for in-depth coverage of the Java language and platform, this revised and updated edition continues to be the first choice for serious programmers. The carefully crafted sample programs demonstrate almost every language and library feature, as well as the newest capabilities introduced in Java 21. The examples are purposefully simple to focus on the major points, but, for the most part, they aren't fake and they don't cut corners. They should make good starting points for your own code. This first of two volumes offers a detailed treatment of fundamental Java programming topics, including object-oriented programming, reflection and proxies, interfaces and inner classes, exception handling, generics, collections, lambda expressions, concurrency, annotations, and the Java Platform Module System.

Название: Automating Excel with Python: Processing Spreadsheets with OpenPyXL
Автор: Michael Driscoll
Издательство: Leanpub
Год: 2021-12-10
Страниц: 213
Язык: английский
Формат: pdf (true), epub
Размер: 28.9 MB

You can use Python to create, edit or read Microsoft Excel documents using OpenPyXL. In this book, you will learn all you need to get started automating Excel with Python! Python is a versatile programming language. You can use Python to read, write and edit Microsoft Excel documents. There are several different Python packages you can use, but this book will focus on OpenPyXL. The OpenPyXL package allows you to work with Excel files on Windows, Mac and Linux, even if Excel isn't installed. This book is targeted at intermediate level developers. The ideal person reading this book will know the Python language already and understand how to install 3rd party packages. However, if you are new to Python, the examples in this book should still be easy to follow. If you need to know more about the Python programming language, there are many free resources.

Название: Scientific Data Analysis with R: Biostatistical Applications
Автор: Azizur Rahman, Faruq Abdulla, Md. Moyazzem Hossain
Издательство: CRC Press
Год: 2025
Страниц: 419
Язык: английский
Формат: pdf (true)
Размер: 100.3 MB

In an era marked by exponential growth in data generation and an unprecedented convergence of technology and healthcare, the intersection of biostatistics and Data Science has become a pivotal domain. This book is the ideal companion in navigating the convergence of statistical methodologies and Data Science techniques with diverse applications implemented in the open-source environment of R. It is designed to be a comprehensive guide, marrying the principles of biostatistics with the practical implementation of statistics and Data Science in R, thereby empowering learners, researchers, and practitioners with the tools necessary to extract meaningful knowledge from biological, health, and medical datasets. The unifying concept of Data Science integrates statistics, data analysis, Machine Learning, and related methodologies to comprehend and analyze real-­world phenomena through data. Drawing on applied mathematics, statistics, Computer Science, and information and communication technologies, Data Science represents the empirical synthesis of actionable knowledge throughout the entire data lifecycle process. This book is intended for students, researchers, and professionals eager to harness the combined power of biostatistics, Data Science, and the R programming language while gathering vital statistical knowledge needed for cutting-edge scientists in all fields.

Название: Urban Artificial Intelligence: A Guidebook for Understanding Perceptions and Ethics
Автор: Tan Yigitcanlar
Издательство: CRC Press
Год: 2025
Страниц: 415
Язык: английский
Формат: pdf (true), epub
Размер: 30.0 MB

This volume thoroughly explores the perceptions and ethical considerations surrounding urban Artificial Intelligence (AI). Tan Yigitcanlar delves into the complex public and professional views on AI, offering invaluable insights for policymakers, urban planners, and developers. As the world rapidly advances technologically, the role of AI has become increasingly significant. AI’s transformative power spans various sectors, revolutionising how we operate and innovate in fields such as healthcare, finance, agriculture, and space exploration. Despite its wide‑reaching impact, the integration of AI into urban planning and development remains relatively underexplored. This is surprising given AI’s immense potential to revolutionise urban design, management, and experience. Comprising eight comprehensive and insightful chapters, this book examines AI’s role in urban contexts, including its applications, public perceptions, and ethical implications. The first part of the guidebook delves into varied perceptions of AI within different urban sectors, presenting detailed perception analyses on AI’s role in urban planning, local government services, disaster management, and the construction industry. The second part shifts focus to the ethical implications and responsible implementation of AI in urban settings.

Название: Urban Artificial Intelligence: A Guidebook for Understanding Concepts and Technologies
Автор: Tan Yigitcanlar
Издательство: CRC Press
Год: 2025
Страниц: 431
Язык: английский
Формат: pdf (true), epub
Размер: 26.9 MB

Tan Yigitcanlar offers a comprehensive exploration of Artificial Intelligence’s (AI) role in shaping modern cities. This volume delves into how AI‑driven analytics and big data provide city planners with deeper insights, enabling more informed decision‑making. These insights lead to more efficient resource use, improved public services, and better infrastructure management. In the digital age, AI is revolutionising various sectors, fundamentally altering our approach to problem‑solving and innovation. AI’s transformative power spans industries from healthcare to finance, and now, it is poised to redefine urban planning and development. Urban areas, as the epicentres of human activity and progress, face myriad challenges such as population growth, resource management, environmental sustainability, and infrastructure development. Traditional methods often fall short in addressing these complexities, making the integration of AI an essential frontier. Comprising seven extensive and insightful chapters, this volume bridges the gap between the theoretical potential and practical implementation of AI in urban contexts. It covers foundational concepts of urban AI, examines its applications across different domains, and explores how AI can improve urban life through smarter home technologies and personalised public services.

Название: A Primer for Spatial Econometrics: With Applications in R, STATA and Python, 2nd Edition
Автор: Giuseppe Arbia
Издательство: Palgrave Macmillan
Год: 2024
Страниц: 250
Язык: английский
Формат: pdf (true)
Размер: 13.6 MB

This textbook offers a practical and engaging introduction to spatial econometric modelling, detailing the key models, methodologies and tools required to successfully apply a spatial approach. The second edition contains new methodological developments, new references and new software routines in R that have emerged since the first edition published in 2014. It also extends practical applications with the use of the software STATA and of the programming language Python. The first software is used increasingly by many economists, applied econometricians and social scientists while the software Python is becoming the elective choice in many scientific applications. With new statistical appendices in R, STATA and Python, as well as worked examples, learning questions, exercises and technical definitions, this is a significantly expanded second edition that will be a valuable resource for advanced students of econometrics.

Название: Exploring Scientific Computing with Java: A practical guide for logic and application building
Автор: Subhajit Adhikari, Sunil Karforma
Издательство: BPB Publications
Год: 2025
Страниц: 306
Язык: английский
Формат: epub (true)
Размер: 14.0 MB

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. This 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.

Название: Python The Complete Manual - 17th Edition, 2024
Автор: Jon White (Editor)
Издательство: Future Publishing
Год: 2024
Страниц: 132
Язык: английский
Формат: pdf
Размер: 58.3 MB

Python - универсальный язык, и неудивительно, что его популярность растет. Его схожесть с повседневным английским делает его идеальным компаньоном для Raspberry Pi, который часто становится первым шагом в изучении программирования. Но не стоит обманываться тем, что он удобен для начинающих: Python обладает множеством более продвинутых функций. В этом новом издании вы узнаете, как программировать на Python, найдете замечательные проекты для углубления вашего понимания Python и способы использования Python для улучшения ваших вычислительных возможностей. Вы также создадите увлекательные проекты, например, напишете клон Space Invaders или научитесь работать в многозадачном режиме на Raspberry Pi. Давайте, начинайте программировать!

Название: 40 Algorithms Every Data Scientist Should Know: Navigating through essential AI and ML algorithms
Автор: Jürgen Weichenberger, Huw Kwon
Издательство: BPB Publications
Год: 2025
Страниц: 588
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

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. This book 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. This book is ideal for data scientists, ML engineers, and anyone interested in entering the world of AI.