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 Название: Learning Go with Networking: Automating network programming, operations, and security
Автор: Yogananth T.V., Balachandar A.
Издательство: BPB Publications
Год: 2025
Страниц: 572
Язык: английский
Формат: pdf, epub (true)
Размер: 14.9 MB
Golang has emerged as a powerful language for networking, known for its efficiency and concurrency, making it ideal for building resilient and scalable network applications. This book is designed to equip networking professionals with the Golang skills needed to navigate this dynamic landscape, providing a practical guide from fundamental concepts to advanced network programming. This book systematically guides you through Golang's core features, including concurrency, generics, and error handling, before diving into essential networking principles like IP, TCP, and UDP. You will learn to develop applications, design synchronous and asynchronous APIs (with a focus on Ponzu and Keycloak), and effectively handle data using formats like JSON and XML, along with stream processing with AMQP, Kafka, and MQTT. The book explores Golang network packages for protocols such as ARP, FTP, DNS, and raw sockets. This book is for software developers, DevOps engineers, backend architects, and cybersecurity professionals who want to build scalable, secure, and efficient systems using Golang. It is ideal for anyone working in infrastructure, automation, or cloud-native development looking to sharpen their development skills in Golang with respect to network programming. | |
Разместил: Ingvar16 21-06-2025, 06:23 | Комментарии: 0 | Подробнее
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 Название: Linux Kernel Programming: Developing kernel architecture and device drivers for character, block, USB, and network interfaces
Автор: Thierry Gayet
Издательство: BPB Publications
Год: 2025
Страниц: 558
Язык: английский
Формат: epub (true)
Размер: 13.8 MB
Linus Torvald released the first version of a kernel in 1991, inspired at the time by both proprietary Unix and the Minix system. Thirty-four years later, this system has evolved with stability and robustness, making it almost indispensable for the DevSecOps community. The Linux kernel forms the robust core of countless systems, from embedded devices to vast data centers, driving unparalleled power and flexibility. This book is your essential guide to deeply understanding this fundamental component and mastering the art of developing high-performance kernel-level code. This book meticulously details the kernel's history, architectural evolution, and custom build processes. You will master device driver fundamentals, distinguishing user from kernel space, and understanding the Linux Device Model (LDM). The guide concludes with task/process management, real-time concepts, and essential kernel debugging and profiling. By the end of this book, you will be well-equipped to confidently develop, optimize, and debug kernel-level code. This book is for software engineers looking to understand the Linux kernel's architecture, modify it, and develop custom modules. | |
Разместил: Ingvar16 21-06-2025, 05:39 | Комментарии: 0 | Подробнее
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 Название: The AI Pocket Book
Автор: Emmanuel Maggiori
Издательство: Manning Publications
Год: 2025
Страниц: 200
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB
If you’re worried about your tech career going obsolete in a world of super-powered AI, never fear. The AI Pocket Book crams everything engineers need to know about AI into one short volume you can fit into your pocket. You’ll build a better understanding of AI (and its limitations), learn how to use it more effectively, and future-proof your job against its advancement. The AI Pocket Book takes a peek inside the AI black box and gives you just enough on key topics like transformers, hallucinations, and the modern ecosystem of AI models and tools. You’ll get handy techniques to select AI tools, learn when putting AI first is the smart move, and pick up some excellent tips for managing the inevitable, potentially expensive, screw ups. The first part of this chapter is a high-level explanation of how large language models (LLMs) such as ChatGPT work. Two main groups of people should read this book. The first one is software engineers—aspiring, novice, and seasoned ones—who want to understand the effects of AI on their careers and prepare for it. The second group includes people related to or interested in the software industry, even if they’re not engineers themselves. | |
Разместил: Ingvar16 21-06-2025, 04:41 | Комментарии: 0 | Подробнее
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 Название: Software Performance Engineering: A comprehensive guide for high-performance development
Автор: Alon Rotem
Издательство: BPB Publications
Год: 2025
Страниц: 521
Язык: английский
Формат: epub (true)
Размер: 10.1 MB
This book introduces the concept of Software Performance Engineering throughout the development process. Software performance yields from a wide range of factors: from hardware through coding standards, runtime frameworks, design patterns, quality assurance and testing, and system architectural patterns, to name a few. This book takes a holistic view of the entire software development lifecycle, learning each of its phases, to understand the technologies, techniques, and tools available, and how we can use them to improve the behavior and performance of our system. Technical hands-on chapters introduce tools and libraries, showing practical examples of how to set them up and use them with ease, while theoretical chapters include comprehensive information and deep explanations of a broad selection of concepts, all accompanied by relevant charts, screenshots, and code samples. Code snippets are mainly written in Python, as the book focuses on current technologies, delving into concepts of cloud computing, design patterns, and best practices, in order to learn how to optimize the entire software delivery process, end-to-end. | |
Разместил: Ingvar16 21-06-2025, 03:58 | Комментарии: 0 | Подробнее
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 Название: Applied TinyML: End-to-end machine learning for microcontrollers with examples
Автор: Ricardo Cid
Издательство: BPB Publications
Год: 2025
Страниц: 371
Язык: английский
Формат: epub (true)
Размер: 16.8 MB
AI is useful when it runs in large machines in data centers, but only when it makes it down to stand-alone edge devices will it unlock countless new use cases and applications. TinyML is transforming AI by bringing ML capabilities to small, low-power devices at the very edge of the network. This book will guide you through building these smart devices. It establishes TinyML's core foundations and a methodology for application development, from problem definition to power management and cost analysis. You will explore practical skills applications, learning sound, movement, and image classification, followed by advanced techniques like object tracking and sensor fusion, using methods such as Kalman filters. You will explore deep learning regression for predictive tasks and essential anomaly detection for identifying unusual patterns, all demonstrated through real-world use cases. This book is for engineers, developers, and AI enthusiasts eager to build intelligent edge devices. No prior deep expertise in AI or electronics is required; it is perfect for anyone starting their journey in creating smart widgets with TinyML. | |
Разместил: Ingvar16 21-06-2025, 03:24 | Комментарии: 0 | Подробнее
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 Название: Deep Learning in Modern C++: End-to-end development and implementation of deep learning algorithms
Автор: Luiz Carlos d'Oleron
Издательство: BPB Publications
Год: 2025
Страниц: 525
Язык: английский
Формат: epub (true)
Размер: 36.0 MB
Deep learning is revolutionizing how we approach complex problems, and harnessing its power directly within C++ provides unparalleled control and efficiency. This book bridges the gap between cutting-edge Deep Learning techniques and the robust, high-performance capabilities of modern C++, empowering developers to build sophisticated AI applications from the ground up. This book guides you through the entire development lifecycle, starting with a solid foundation in the modern features and essential libraries, like Eigen, for C++. You will master core Deep Learning concepts by implementing convolutions, fully connected layers, and activation functions, while learning to optimize models using gradient descent, backpropagation, and advanced optimizers like SGD, Momentum, RMSProp, and Adam. Crucial topics like cross-validation, regularization, and performance evaluation are covered, ensuring robust and reliable applications. This book is tailored for C++ developers, data scientists, and Machine Learning engineers seeking to implement Deep Learning models using modern C++. A foundational understanding of C++ programming and basic linear algebra is recommended. | |
Разместил: Ingvar16 21-06-2025, 02:37 | Комментарии: 0 | Подробнее
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 Название: Прописи-раскраски для малышей (13 тетрадей)
Автор: Гаврина С.Е., Кутявина Н.Л., Топоркова И.Г., Щербинина С.В.
Изд-во: Экзамен
Год: 2016-2017
К-во стр.: 13*16
Формат: pdf
Размер: 136,54 Мб
Язык: русский
Данные пособия полностью соответствуют федеральному государственному образовательному стандарту дошкольного образования. Занимаясь по книгам, дошкольники в доступной занимательной форме смогут развивать такие познавательные процессы, как зрительное восприятие, произвольное внимание, наглядно-образное и логическое мышление. Игровые задания, представленные в книгах, помогут малышу также развивать мелкую моторику пальцев и кисти руки. Заниматься по книгам можно как индивидуально, так и с группой детей. | |
Разместил: TTT22 20-06-2025, 23:38 | Комментарии: 0 | Подробнее
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 Название: The Art and Science of Quantitative Research (Studies in Systems, Decision and Control, 599)
Автор: Alaba Ayotunde Fadele, Alvaro Rocha
Издательство: Springer
Год выхода: 2025
Страниц: 197
Формат: True PDF, True ePUB
Размер: 13 MB
Язык: английский
This book reflects on the insights gained from exploring the key dimensions of quantitative research as outlined in the preceding chapters. Quantitative research, with its emphasis on objectivity, systematic methodologies, and statistical rigor, plays a pivotal role in advancing knowledge across diverse fields. The study began with an introduction to its foundational principles, highlighting its distinct characteristics and relevance. | |
Разместил: Dovegone 20-06-2025, 23:11 | Комментарии: 0 | Подробнее
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Название: Коэффициент шума и его измерение на СВЧ
Автор: Алмазов-Долженко К.И.
Издательство: Научный мир
Год издания: 2000
Количество страниц: 243
Язык: русский
Формат: DjVu
Размер: 10,18 Мб
Обобщены и систематически изложены основные вопросы, связанные с практической оценкой чувствительности усилительных и приемных устройств СВЧ диапазона.
Рассматривается нормирование условий при измерении "коэффициента шума" (Кш), "шумовой температуры" (Ту) и системы шумовых параметров усилителя в рассогласованном тракте. Сведения о шумовых параметрах приводятся в объеме, необходимом для понимания вопросов, связанных с измерениями.
Указываются особенности измерения шумовых сигналов и используемые методы... | |
Разместил: Belka01 20-06-2025, 21:33 | Комментарии: 0 | Подробнее
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 Название: Practical Deep Learning with PyTorch: PyTorch implementation for computer vision, NLP, audio, and language translation
Автор: Deepak Gowda
Издательство: BPB Publications
Год: 2025
Страниц: 328
Язык: английский
Формат: epub (true)
Размер: 21.2 MB
Deep Learning is revolutionizing how we solve complex problems, and PyTorch has emerged as a leading framework for its ease of use and flexibility. This book is designed to bridge the gap between theory and practice, providing a hands-on approach to understanding Deep Learning with PyTorch. It covers fundamental and advanced topics, including object detection, NLP, GANs, and time series forecasting. The book begins with foundational Deep Learning concepts and guides you through setting up PyTorch. You will learn to manipulate tensors, load data, build models, and understand computer vision with multi-object detection using YOLO to enhance image recognition through transfer learning techniques. You will also analyze generative models with GANs for data augmentation and venture into audio processing with text-to-speech and speech-to-text using TorchAudio. Learn NLP tasks like text classification, summarization, sentiment analysis, and question answering with pre-trained models like BERT. Finally, learn to tackle time series forecasting using RNNs, LSTMs, CNNs, and transformers. This book is for AI enthusiasts, data scientists, and engineers seeking practical knowledge of Deep Learning. | |
Разместил: Ingvar16 20-06-2025, 21:01 | Комментарии: 0 | Подробнее
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