gitforgits mai 2023 (2 Ergebnisse)

Taschenbuch. Zustand: Neu. Neuware -This book is an invaluable resource for aspiring network administrators aiming to deepen their understanding of networking concepts while strengthening their C++ programming skills. Across eleven chapters, this book bridges the gap between network administration and programming, providing readers with a holistic approach to mastering network operations. Readers begin with a deep dive into network fundamentals such as TCP/IP models, sockets, and protocols. They then progress to practical programming, employing C++ to establish TCP/UDP client-server connections, handle network errors, and deal with application layer protocols such as HTTP/HTTPS, FTP, SMTP, IMAP, and DNS.The book then guides readers through Virtual Private Networks (VPNs), detailing their importance, functioning, and distinct types of VPNs. It explores wireless networking and asynchronous programming, providing clear illustrations of WiFi, Bluetooth, and Zigbee setup using C++. It covers critical wireless standards and security protocols. For a comprehensive understanding, the book illustrates network configuration management using C++ to automate crucial network operations tasks, thus highlighting the power of programming in network management.Advanced topics include network testing and simulations, which provide insights into performance enhancement and network robustness. A detailed exploration of network monitoring enhances the reader's skillset, teaching ways to conduct fault, performance, security, and account monitoring. In the end, the book rounds up with network troubleshooting, elucidating several essential network troubleshooting tools and methodologies.Key LearningsUnderstand TCP/IP model and protocols with hands-on C++ programming.Master TCP/UDP client-server connections and error handling.Grasp application layer protocols like HTTP/HTTPS, FTP, SMTP, IMAP, and DNS.Discover the importance and use of VPNs and how to set them up.Learn about wireless networking and asynchronous programming.Gain insights into network configuration management.Understand network testing methodologies and simulations.Learn to monitor various aspects of a network using Nagios.Learn about essential network troubleshooting tools and methodologies.Enhance network performance and reliability through C++ programming.The essence of this book lies in its practical approach. With ample illustrations, code snippets, and hands-on exercises using C++, this book stands out as a definitive guide for anyone aiming to become a competent network administrator, equipped with the power of programming.Table of ContentsIntroduction to Networking and C++Understanding Internet Protocols - TCP and UDPNetwork Interfaces and AddressingApplication Layer ProtocolsVPNsWireless NetworksAsynchronous ProgrammingNetwork Testing and SimulationNetwork Configuration and ManagementNetwork MonitoringNetwork TroubleshootingAudienceThis book is suitable for every computer programmer or computer science graduate with a basic understanding of C++. No prior networking knowledge is required. Familiarity with fundamental C++ concepts, such as variables, loops, and basic syntax, is assumed. By focusing on practical examples and clear explanations, this guide ensures a fast-paced learning experience.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 202 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -'Google JAX Essentials' is a comprehensive guide designed for machine learning and deep learning professionals aiming to leverage the power and capabilities of Google's JAX library in their projects. Over the course of eight chapters, this book takes the reader from understanding the challenges of deep learning and numerical computations in the existing frameworks to the essentials of Google JAX, its functionalities, and how to leverage it in real-world machine learning and deep learning projects.The book starts by emphasizing the importance of numerical computing in ML and DL, demonstrating the limitations of standard libraries like NumPy, and introducing the solution offered by JAX. It then guides the reader through the installation of JAX on different computing environments like CPUs, GPUs, and TPUs, and its integration into existing ML and DL projects. The book details the advanced numerical operations and unique features of JAX, including JIT compilation, automatic differentiation, batched operations, and custom gradients. It illustrates how these features can be employed to write code that is both simpler and faster.The book also delves into parallel computation, the effective use of the vmap function, and the use of pmap for distributed computing. Lastly, the reader is walked through the practical application of JAX in training different deep learning models, including RNNs, CNNs, and Bayesian models, with an additional focus on performance-tuning strategies for JAX applications.Key LearningsMastering the installation and configuration of JAX on various computing environments.Understanding the intricacies of JAX's advanced numerical operations.Harnessing the power of JIT compilation in JAX for accelerated computations.Implementing batched operations using the vmap function for efficient processing.Leveraging automatic differentiation and custom gradients in JAX.Proficiency in using the pmap function for distributed computing in JAX.Training different types of deep learning models using JAX.Applying performance tuning strategies to maximize JAX application efficiency.Integrating JAX into existing machine learning and deep learning projects.Complementing the official JAX documentation with practical, real-world applications.Table of ContentNecessity for Google JAXUnravelling JAXSetting up JAX for Machine Learning and Deep LearningJAX for Numerical ComputingDiving Deeper into Auto Differentiation and GradientsEfficient Batch Processing with JAXPower of Parallel Computing with JAXTraining Neural Networks with JAXAudienceThis is must read for machine learning and deep learning professionals to be skilled with the most innovative deep learning library. Knowing Python and experience with machine learning is sufficient is desired to begin with this bookLibri GmbH, Europaallee 1, 36244 Bad Hersfeld 120 pp. Englisch.