“…What You Will Learn Run a Kotlin application and understand the integration with Android Studio Incorporate Kotlin into new/existing Android Java based project Learn about Kotlin type system to deal with null safety and immutability Define various types of classes and deal with properties Define collections and transform them in functional way Define extensions, new behaviours to existing libraries and Android framework classes Use generic type variance modifiers to define subtyping relationship between generic types Build a sample application In Detail Nowadays, improved application development does not just mean building better performing applications. …”

“…What You Will Learn Understand the core concepts of Apache Storm and real-time processing Follow the steps to deploy multiple nodes of Storm Cluster Create Trident topologies to support various message-processing semantics Make your cluster sharing effective using Storm scheduling Integrate Apache Storm with other Big Data technologies such as Hadoop, HBase, Kafka, and more Monitor the health of your Storm cluster In Detail Apache Storm is a real-time Big Data processing framework that processes large amounts of data reliably, guaranteeing that every message will be processed. …”

“…Finally, you will also be introduced to data-driven testing using TestNG to create your own automation framework. By the end of this book, you will be able to select any web application and automate it the way you want. …”

“…What you will learnUnderstand the synergy between Kubernetes and microservicesCreate a complete CI/CD pipeline for your microservices on KubernetesDevelop microservices on Kubernetes with the Go kit framework using best practicesManage and monitor your system using Kubernetes and open source toolsExpose your services through REST and gRPC APIsImplement and deploy serverless functions as a serviceExternalize authentication, authorization, and traffic shaping using a service meshRun a Kubernetes cluster in the cloud on Google Kubernetes EngineWho this book is forThis book is for developers, DevOps engineers, or anyone who wants to develop large-scale microservice-based systems on top of Kubernetes. …”

“…What you will learn Learn all about the basics of creating reusable form components with the Vue framework Understand v-model and how it plays a role in form creation Create forms that are completely powered and generated by a schema, either locally or from an API endpoint Understand how Vuelidate allows for easy declarative validation of all your form's inputs with Vue's reactivity system Connect your application with a Vuex-powered global state management Use the v-mask library to enhance your inputs and improve user experience (UX) Who this book is for If you are a developer with basic Vue experience who wants to enhance your forms, then this book is for you. …”

“…What you will learn Explore various editing, formatting, and navigational features of VS Code Understand how to add, delete, and configure extensions in VS Code Develop web APIs using Node.js, Java, and Python in VS Code Develop background service in .NET Core and explore Dapr Delve into debugging techniques such as breakpoints, log points, and data inspection Use Git with Azure DevOps to share and synchronize code with VS Code Create custom extensions in VS Code to increase developer productivity Understand the concepts of remote development using VS Code Who this book is for This book is for software developers, web developers and polyglot programmers, who are working with any language or framework such as Python, Jav..…”

“…By the end of the book, you'll have learned how to build and deploy your own AI software at scale, using various tools, API frameworks, and serialization methods. What you will learn Get to grips with the fundamentals of artificial intelligence Understand the importance of data storage and architecture in AI applications Build data storage and workflow management systems with open source tools Containerize your AI applications with tools such as Docker Discover commonly used data storage solutions and best practices for AI on Amazon Web Services (AWS) Use the AWS CLI and AWS SDK to perform common data tasks Who this book is for If you are looking to develop the data storage skills needed for machine learning and AI and want to learn AI best practices in data engineering, this workshop is for you. …”

“…These lessons have helped a generation of programmers examine the very essence of software development, independent of any particular language, framework, or methodology, and the Pragmatic philosophy has spawned hundreds of books, screencasts, and audio books, as well as thousands of careers and success stories. …”

“…This book will help you to master the most relevant areas of the framework by building practical projects from scratch. …”

“…These include the integration of the Django framework as well as the extensive support for IPython and Jupyter Notebook. …”

“…Finally, you'll use the AWS well-architected framework to conduct a technology baseline review self-assessment and identify critical areas for improvement in the management and operation of your cloud-based workloads. …”

“…Finally, the book focuses on the SharePoint framework, which helps you to build custom Teams and SharePoint solutions. …”

“…His ‘Turn It On’ innovation framework gives leaders and managers tools, processes and pathways to make bolder and more profitable innovation an inevitability, not an anomaly. …”

“…As you advance, the book will take you through modern mobile development frameworks such as SQLite, .NET Core Mono, ARKit, and ARCore. …”

“…Additionally, the course materials include a downloadable Q# framework that you can use to experiment with quantum algorithms, entanglement, and superposition. …”

“…He is an ASP.NET expert and has been working with Microsoft on the MVC framework since the initial prototype in March 2007. …”

“…These lessons provide a hands-on foundation for users to learn how to craft visual data narratives using the most appropriate visualizations, apply visual design to engage their audience, and purposefully structure a narrative framework to deliver a compelling, actionable data story that invites discovery, solicits new questions, or offers alternative explanations–all using one of the most powerful and ubiquitous visualization tools on the market today, Tableau. …”

“…New in This Edition • Modern Perl approaches to using data types, operators, conditions, subroutines, packages, modules, references, pointers, files, objects, and more • Many new examples, covering automation, testing, and data extraction • A tutorial on writing object-oriented Perl with the Moose object system • An introduction to Dancer, a powerful web application framework designed to replace CGI • Updated code examples throughout More than 50,000 sysadmins, power users, and developers have used this book’s previous editions to become expert Perl programmers, and you can, too–even if you’re completely new to Perl. …”

“…Cloud engineering tutorials, such as Patrick Meenan (Facebook) on fixing broken HTTP/2 deployments; Michael Kehoe (LinkedIn) on using Terraform to modernize your cloud infrastructure; and Ben Bleything (Google) on using the open source InSpec framework to build infrastructure and compliance tests. …”

“…Eight tutorials, including MIT's Vikash Mansinghka survey of the emerging field of probabilistic programming; Microsoft's Anusua Trivedi, Barbara Stortz, and Patrick Buehler’s examination of scalable deep learning using Microsoft's Cognitive Toolkit; and Narrative Science's Kristian Hammond’s (founder of the University of Chicago’s AI Lab) revelations on the best ways to evaluate emerging AI strategies and vendors. 40+ sessions on the tools, frameworks, algorithms, and approaches used to build practical AI technology, including Eric Greene (Wells Fargo Digital Innovation Labs) on deep learning and predictive payments; Rana el Kaliouby (Affectiva) on real life applications of artificial emotional intelligence; Jana Eggers (Nara Logics) on how to translate abstract AI into real numbers for business; Matt Shobe (Mighty AI) on building training data for autonomous driving; Jan Neumann (Comcast) on how AI powers the Comcast X1 voice interface; Pau Carré (Gilt) on deep learning in the fashion industry; Paco Nathan (O'Reilly Media) on the use of AI in publishing; and Ron Bodkin (Teradata) and Nadeem Gulzar (Danske Bank Group) on using AI to fight financial fraud at Danske Bank. 25+ sessions on d..…”