gitforgits jul 2023 (3 results)

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'Terraform for Developers' provides a comprehensive guide to mastering infrastructure as code with Terraform, intended for both beginners and experienced practitioners. The book starts by introducing foundational Terraform concepts like its architecture, setup on various cloud platforms, and the syntax of its configuration language HCL. This grounds the reader in core skills needed to author infrastructure code.It then explores the full lifecycle of a Terraform project from state management, provisioning, networking, troubleshooting errors, and testing practices. Each phase is explained through practical examples relevant to real-world usage. Advanced skills like performance optimization, CI/CD integration, and modules are covered to take the reader from basic to expert.The book finishes with sophisticated use cases like Kubernetes infrastructure automation and secrets management with HashiCorp Vault with elementary level demonstrations. The end result is a 360-degree education in Terraform - from installation to advanced usage across public clouds. Readers gain both theoretical foundations and hands-on skills transferred through practical examples. The book takes a holistic approach that equips practitioners to leverage Terraform in production environments.[Note: Readers are advised not to misguide this book as a mastering book but does covers every possible task Terraform can perform.]Key LearningsComprehensive introduction to Terraform's architecture, syntax, and semantics.Practical examples to understand Infrastructure as Code (IaC) concept.Detailed guidance on setting up Terraform in diverse environments.Exploring Terraform's lifecycle, from initialization to resource destruction.Insightful exploration of error management and troubleshooting techniques.In-depth discussion on network management using Terraform for real-world scenarios.Advanced topics coverage like Kubernetes resources and dynamic secrets.Detailed explanation of Terraform's integration with CI/CD pipelines.Extensive study of Terraform testing, including unit, integration, and compliance tests.Knowledge on module creation and version control for efficient code reuse.Table of ContentIntroduction to Terraform and Infrastructure as Code (IaC)Getting Started with TerraformEssentials of Terraform Configuration Language (HCL)Terraform Modules and Reusable InfrastructureTerraform State ManagementProvisioners and Provisioning ResourcesWorking with SecretsAdministering Networks with TerraformAdvanced Topics in TerraformAdministering Terraform As ExpertAudienceThis book is designed for software professionals, system administrators, DevOps engineers, and cloud architects who aim to master Infrastructure as Code (IaC) using Terraform. Basic knowledge of cloud computing and some experience with coding will aid in comprehending the book's content. 204 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is a comprehensive guide to understanding and utilizing PyTorch 2.0 for deep learning applications. It starts with an introduction to PyTorch, its various advantages over other deep learning frameworks, and its blend with CUDA for GPU acceleration. We delve into the heart of PyTorch - tensors, learning their different types, properties, and operations. Through step-by-step examples, the reader learns to perform basic arithmetic operations on tensors, manipulate them, and understand errors related to tensor shapes.A substantial portion of the book is dedicated to illustrating how to build simple PyTorch models. This includes uploading and preparing datasets, defining the architecture, training, and predicting. It provides hands-on exercises with a real-world dataset. The book then dives into exploring PyTorch's nn module and gives a detailed comparison of different types of networks like Feedforward, RNN, GRU, CNN, and their combination.Further, the book delves into understanding the training process and PyTorch's optim module. It explores the overview of optimization algorithms like Gradient Descent, SGD, Mini-batch Gradient Descent, Momentum, Adagrad, and Adam. A separate chapter focuses on advanced concepts in PyTorch 2.0, like model serialization, optimization, distributed training, and PyTorch Quantization API.In the final chapters, the book discusses the differences between TensorFlow 2.0 and PyTorch 2.0 and the step-by-step process of migrating a TensorFlow model to PyTorch 2.0 using ONNX. It provides an overview of common issues encountered during this process and how to resolve them.Key LearningsA comprehensive introduction to PyTorch and CUDA for deep learning.Detailed understanding and operations on PyTorch tensors.Step-by-step guide to building simple PyTorch models.Insight into PyTorch's nn module and comparison of various network types.Overview of the training process and exploration of PyTorch's optim module.Understanding advanced concepts in PyTorch like model serialization and optimization.Knowledge of distributed training in PyTorch.Practical guide to using PyTorch's Quantization API.Differences between TensorFlow 2.0 and PyTorch 2.0.Guidance on migrating TensorFlow models to PyTorch using ONNX.Table of ContentIntroduction to Pytorch 2.0 and CUDA 11.8Getting Started with TensorsAdvanced Tensors OperationsBuilding Neural Networks with PyTorch 2.0Training Neural Networks in PyTorch 2.0PyTorch 2.0 AdvancedMigrating from TensorFlow to PyTorch 2.0End-to-End PyTorch Regression ModelAudienceA perfect and skillful book for every machine learning engineer, data scientist, AI engineer and data researcher who are passionately looking towards drawing actionable intelligence using PyTorch 2.0. Knowing Python and the basics of deep learning is all you need to sail through this book. 148 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'Practical C++ Backend Programming' is a comprehensive walkthrough that provides readers with the necessary tools and knowledge to become proficient C++ backend developers. With a strong focus on real-world application and practical implementation, this book takes readers on a journey through the multifaceted landscape of backend development, making it an essential resource for any aspiring or current backend developer.Starting with the basics, the book introduces C++, providing a solid foundation in the language, its structure, and core concepts with regards to backend programming. From there, readers dive into the more complex elements of backend development. Through our engaging sections, use-cases and sample examples, readers are introduced to advanced topics such as concurrent programming, exploring threading and multiprocessing to handle intensive computational tasks, thus laying the groundwork for scalable applications.This book offers an in-depth look into APIs, specifically gRPC, along with caching strategies, and database management, using MongoDB as a NoSQL database of choice. All the while, readers will learn to implement these technologies in a practical context, building a blog application from scratch, thereby bridging the gap between theory and practical implementation. An entire section is dedicated to securing applications, wherein the book teaches authentication, authorization, and database security, and demonstrates how to implement these measures in the blog application.Another utmost important part of this book is to cover testing strategies, teaching the reader how to employ Google Test (gtest) to create robust and fail-proof backend solutions. Finally, the journey culminates in a step-by-step walkthrough to deploying applications on AWS, ensuring the reader is equipped with the necessary skills to take their applications live.Key LearningsDetailed overview of C++ programming, catering to both beginners and experienced coders.Practical exploration of concurrent programming for scalable and efficient application design.Comprehensive understanding of API usage, specifically using the gRPC framework.Deep dive into MongoDB for effective NoSQL database management and operations.Thorough walkthrough to implementing caching strategies for performance optimization.Strategic use of Nginx for handling web server needs including load balancing.Hands-on guide to implementing security measures for databases, APIs, and web servers.Instruction on employing Google Test for robust application testing and debugging.Step-by-step guidance for deploying applications on AWS, ensuring real-world readiness.Practical application of concepts via building and refining a blog application.Table of ContentIntroduction to Backend DevelopmentC++ Refresher and EssentialsDeep Dive into AlgorithmsMastering Version Control - Git and GitHubManaging Database Operations with MongoDBCrafting Rest APIs with gRPCDealing with Client-side and Server-side CachingManaging Web Servers with NginxTesting Your C++ BackendSecuring Your C++ BackendDeploying Your ApplicationAudienceThis book is appropriate for readers with some background in C++ and nothing about back-end development. It's great for those just getting their feet wet in back-end, as well as seasoned pros looking to hone their craft and learn something new. Whether you're a student, or professional this book will teach you everything you need to know to master the art of C++ back-end development. 228 pp. Englisch.