GraphQL Best Practices. Gain hands-on experience with schema design, security, and error handling

Artur Czemiel

In the ever-evolving landscape of web development, GraphQL has emerged as a powerful query language that addresses the limitations of traditional REST APIs. This guide delves deep into GraphQL, starting with its foundational principles and swiftly advancing to complex topics that will equip you with the skills you need to understand this technology.As you progress, you’ll cover advanced concepts such as schema design, security enhancements, and error handling. You'll also explore essential topics such as federation and the transition from REST to GraphQL, gaining a comprehensive understanding of these critical areas. The book helps you learn through practical examples in TypeScript, guiding you through building scalable and secure GraphQL backends. Additionally, you’ll get up to speed with the intricacies of frontend integration.By the end of this book, you’ll have the skills you need to implement real-world GraphQL solutions, creating efficient and robust applications that meet modern web development demands.

IPython Notebook Essentials. Compute scientific data and execute code interactively with NumPy and SciPy

Luiz Felipe Martins

Hands-On Linux Administration on Azure. Develop, maintain, and automate applications on the Azure cloud platform - Second Edition

Kamesh Ganesan, Rithin Skaria, Frederik Vos

Thanks to its flexibility in delivering scalable cloud solutions, Microsoft Azure is a suitable platform for managing all your workloads. You can use it to implement Linux virtual machines and containers, and to create applications in open source languages with open APIs.This Linux administration book first takes you through the fundamentals of Linux and Azure to prepare you for the more advanced Linux features in later chapters. With the help of real-world examples, you’ll learn how to deploy virtual machines (VMs) in Azure, expand their capabilities, and manage them efficiently. You will manage containers and use them to run applications reliably, and in the concluding chapter, you'll explore troubleshooting techniques using a variety of open source tools.By the end of this book, you'll be proficient in administering Linux on Azure and leveraging the tools required for deployment.

Machine Learning with R. Expert techniques for predictive modeling - Third Edition

Brett Lantz

Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data.Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights, make new predictions, and visualize your findings.This new 3rd edition updates the classic R data science book to R 3.6 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Find powerful new insights in your data; discover machine learning with R.

Learning iBeacon

Craig Gilchrist

Implementing Azure DevOps Solutions. Learn about Azure DevOps Services to successfully apply DevOps strategies

Henry Been, Maik van der Gaag

Implementing Azure DevOps Solutions helps DevOps engineers and administrators to leverage Azure DevOps Services to master practices such as continuous integration and continuous delivery (CI/CD), containerization, and zero downtime deployments.This book starts with the basics of continuous integration, continuous delivery, and automated deployments. You will then learn how to apply configuration management and Infrastructure as Code (IaC) along with managing databases in DevOps scenarios. Next, you will delve into fitting security and compliance with DevOps. As you advance, you will explore how to instrument applications, and gather metrics to understand application usage and user behavior. The latter part of this book will help you implement a container build strategy and manage Azure Kubernetes Services. Lastly, you will understand how to create your own Azure DevOps organization, along with covering quick tips and tricks to confidently apply effective DevOps practices.By the end of this book, you’ll have gained the knowledge you need to ensure seamless application deployments and business continuity.

Graph Data Processing with Cypher. A practical guide to building graph traversal queries using the Cypher syntax on Neo4j

While it is easy to learn and understand the Cypher declarative language for querying graph databases, it can be very difficult to master it. As graph databases are becoming more mainstream, there is a dearth of content and guidance for developers to leverage database capabilities fully. This book fills the information gap by describing graph traversal patterns in a simple and readable way.This book provides a guided tour of Cypher from understanding the syntax, building a graph data model, and loading the data into graphs to building queries and profiling the queries for best performance. It introduces APOC utilities that can augment Cypher queries to build complex queries. You’ll also be introduced to visualization tools such as Bloom to get the most out of the graph when presenting the results to the end users.After having worked through this book, you’ll have become a seasoned Cypher query developer with a good understanding of the query language and how to use it for the best performance.

Enhancing Your Cloud Security with a CNAPP Solution. Unlock the full potential of Microsoft Defender for Cloud to fortify your cloud security

Yuri Diogenes

Cloud security is a pivotal aspect of modern IT infrastructure, essential for safeguarding critical data and services. This comprehensive book explores Cloud Native Application Protection Platform (CNAPP), guiding you through adopting, deploying, and managing these solutions effectively. Written by Yuri Diogenes, Principal PM at Microsoft, who has been with Defender for Cloud (formerly Azure Security Center) since its inception, this book distills complex concepts into actionable knowledge making it an indispensable resource for Cloud Security professionals.The book begins with a solid foundation detailing the why and how of CNAPP, preparing you for deeper engagement with the subject. As you progress, it delves into practical applications, including using Microsoft Defender for Cloud to enhance your organization's security posture, handle multicloud environments, and integrate governance and continuous improvement practices into your operations.Further, you'll learn how to operationalize your CNAPP framework, emphasizing risk management & attack disruption, leveraging AI to enhance security measures, and integrating Defender for Cloud with Microsoft Security Exposure Management. By the end, you'll be ready to implement and optimize a CNAPP solution in your workplace, ensuring a robust defense against evolving threats.