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.

Название: Ultimate Data Science Programming in Python: Master data science libraries with 300+ programs, 2 projects, and EDA GUI tools
Автор: Saurabh Chandrakar
Издательство: BPB Publications
Год: 2025
Страниц: 558
Язык: английский
Формат: epub (true)
Размер: 13.2 MB

In today's data-driven world, the ability to extract meaningful insights from vast datasets is crucial for success in various fields. This ultimate book for mastering open-source libraries of Data Science in Python equips you with the essential tools and techniques to navigate the ever-evolving field of data analysis and visualization. Discover how to use Python libraries like NumPy, Pandas, and Matplotlib for data manipulation, analysis, and visualization. This book also covers scientific computing with SciPy and integrates ChatGPT to boost your data science workflow. Designed for data scientists, analysts, and beginners, it offers a practical, hands-on approach to mastering data science fundamentals. With real-world applications and exercises, you will turn raw data into actionable insights, gaining a competitive edge. This book covers everything you need, including open-source libraries, Visual Explorer tools, and ChatGPT, making it a one-stop resource for Python-based Data Science. This book is ideal for diploma, undergraduate, and postgraduate students from engineering and science fields to programming and software professionals. It is also perfect for data science, ML, and AI engineers looking to expand their expertise in cutting-edge technologies.

Название: Streamlit Essentials: From basics to advanced data app development
Автор: Surabhi Pandey
Издательство: BPB Publications
Год: 2025
Страниц: 298
Язык: английский
Формат: epub (true)
Размер: 13.8 MB

Streamlit Essentials is a comprehensive guide aimed at helping you build interactive data applications using Python. With easy-to-use syntax, it allows developers to quickly build visualizations, dashboards, and Machine Learning models. This book is a practical guide to building Data Science applications using the Streamlit framework. It covers everything from installation to advanced topics like ML integration and deployment. With real-world projects and examples, you will learn how to use Streamlit's widgets, styling, and data visualization tools to create dynamic real-time dashboards, containerize your applications with Docker, securely handle sensitive data, and deploy the applications on leading cloud platforms, all while building practical projects that can be added to enhance your portfolio. Whether you are a data scientist, analyst, developer, or business professional, this book will provide you with the knowledge and skills needed to build engaging and informative dashboards, visualizations, and ML models.

Название: 3D Data Science with Python: Building Accurate Digital Environments with 3D Point Cloud Workflows (Early Release)
Автор: Florent Poux
Издательство: O’Reilly Media, Inc.
Год: 2024-10-28
Язык: английский
Формат: epub
Размер: 22.9 MB

Learn to leverage Python for advanced 3D data processing, visualization, and AI-enabled workflows. Define 3D virtual realms, immersive environments, and digital automation to analyze physical objects. With a focus on practicality, this book offers data scientists, engineers, and developers a hands-on approach to working with 3D data. From 3D reconstruction to 3D deep learning techniques, you'll learn how to extract valuable insights from massive datasets, including point clouds, voxels, 3D meshes, images, and more. This book dives deep into 3D data science with Python: building 3D workflows and wielding Python to implement your solutions.

Название: Алгоритмизация и программирование: учебник для вузов, 4-е изд.
Автор: В.В. Трофи­мов, Т.А. Павловская
Издательство: Юрайт
Год: 2024
Страниц: 109
Язык: русский
Формат: pdf
Размер: 41.1 MB

В курсе, представляющем собой один из модулей дисциплины «Инфор­матика», рассмотрены модели решения функциональных и вычислительных задач, алгоритмизация и программирование, языки программирования высокого уровня, технологии программирования. Алгоритмом называют точное предписание, которое задается вычислительному процессу и представляет собой конечную по­следовательность обычных элементарных действий, четко опре­деляющую процесс преобразования исходных данных в искомый результат. Запись алгоритма на некотором языке представляет собой про­грамму. Если программа написана на специальном алгоритмиче­ском языке (например, на языке Питон или Бейсик), то говорят об исходной программе. Программа, написанная на языке, который непосредственно понимает компьютер (как правило, это двоичные коды), называется машинной, или двоичной. Курс соответствует актуальным требованиям федерального государ­ственного образовательного стандарта высшего образования. Для студентов высших учебных заведений, обучающихся по экономиче­ским направлениям, аспирантов и преподавателей, специалистов организа­ций любого уровня и сферы хозяйствования.

Название: Learning Microsoft Power Apps: Building Business Applications with Low-Code Technology (Final Release)
Автор: Arpit Shrivastava
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 587
Язык: английский
Формат: True/Retail PDF, True EPUB (Retail Copy)
Размер: 71.4 MB, 68.6 MB

In today's fast-paced world, more and more organizations require rapid application development with reduced development costs and increased productivity. This practical guide shows application developers how to use PowerApps, Microsoft's no-code/low-code application framework that helps developers speed up development, modernize business processes, and solve tough challenges. Author Arpit Shrivastava provides a comprehensive overview of designing and building cost-effective applications with Microsoft Power Apps. You'll learn fundamental concepts behind low-code and no-code development, how to build applications using pre-built and blank templates, how to design an app using Copilot AI and drag and drop PowerPoint-like controls, use Excel-like expressions to write business logic for an app, and integrate apps with external data sources. By reading this book, both technical and nontechnical folks can begin developing mobile, tablet, and web applications using many of the Power Apps built-in capabilities. Technical folks (such as full stack developers, solution architects, and so on) will learn how to quickly put together an app, but also extend the app’s functionality by connecting it to external data sources, developing custom components, writing jаvascript and C# code, using Web APIs, and so on.

Название: Optimizing Cloud Native Java: Practical Techniques for Improving JVM Application Performance, 2nd Edition (Final Release)
Автор: Benjamin J. Evans, James Gough
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 497
Язык: английский
Формат: True/Retail PDF, True EPUB (Retail Copy)
Размер: 16.4 MB, 10.1 MB

Performance tuning is an experimental science, but that doesn't mean engineers should resort to guesswork and folklore to get the job done. Yet that's often the case. With this practical book, intermediate to advanced Java technologists working with complex platforms will learn how to tune Java cloud applications for performance using a quantitative, verifiable, and repeatable approach. In response to the ubiquity of cloud computing, this updated edition of Optimizing Cloud Native Java addresses topics that are key to high performance of Java applications in the cloud. Many resources on performance tend to focus on the theory and internals of Java virtual machines, but this book discusses the low-level technical aspects within the context of performance-tuning practicalities and examines a wide range of aspects. Java performance optimization is of interest to several different groups of professionals, not just developers.

Название: We, Programmers: A Chronicle of Coders from Ada to AI (Early Release)
Автор: Robert C. Martin
Издательство: Pearson
Год: 2024
Страниц: 298
Язык: английский
Формат: epub
Размер: 10.1 MB

The Journey of Programming and Its Pioneers: From the Birth of Code to the Rise of AI. In We, Programmers, software legend Robert C. Martin--"Uncle Bob"--dives deep into the world of programming, exploring the lives of the groundbreaking pioneers who built the foundation of modern computing. From Charles Babbage and Ada Lovelace to Alan Turing, Grace Hopper, and Dennis Ritchie, Martin shines a light on the figures whose brilliance and perseverance changed the world. This memoir-infused narrative provides a rich human history filled with technical insights for developers, examining the coding breakthroughs that shaped computing at the bit and byte level. By connecting these technical achievements with the human stories behind them, Martin gives readers a rare glimpse into the struggles and triumphs of the people who made modern technology possible. For programmers, coders, and anyone fascinated by the intersection of people and machines, this guide to the history, humanity, and technology behind the code that powers our world today is a fascinating and essential read.