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Podcasty
Node.js revolutionizes server-side JavaScript development and empowers developers to build efficient, scalable, and versatile applications across a range of use cases. This book is written by a Node.js core collaborator and releaser and is the only book for beginners on Node.js. It takes you on a progressive learning path that will give you the skills needed to leverage Node.js.You’ll learn Node.js fundamentals and refresh your knowledge of JavaScript before transitioning to the development of modern web applications using Node.js, Express.js, and MongoDB. You’ll get hands-on with complex topics such as asynchronous programming, npm libraries, event-driven patterns for HTTP servers, RESTful API, and JSON Web Tokens. The final chapters will walk you through the deployment process, offering insights into various strategies, including bare metal setups, virtual machines, and containerization with Docker. You’ll also be guided through the use of Process Manager 2 (PM2) for efficient process management.By the end of this Node.js book, you'll have the skills to craft, test, and deploy Node.js web applications confidently and use this powerful stack in your day-to-day projects.
Amazon EMR, formerly Amazon Elastic MapReduce, provides a managed Hadoop cluster in Amazon Web Services (AWS) that you can use to implement batch or streaming data pipelines. By gaining expertise in Amazon EMR, you can design and implement data analytics pipelines with persistent or transient EMR clusters in AWS.This book is a practical guide to Amazon EMR for building data pipelines. You'll start by understanding the Amazon EMR architecture, cluster nodes, features, and deployment options, along with their pricing. Next, the book covers the various big data applications that EMR supports. You'll then focus on the advanced configuration of EMR applications, hardware, networking, security, troubleshooting, logging, and the different SDKs and APIs it provides. Later chapters will show you how to implement common Amazon EMR use cases, including batch ETL with Spark, real-time streaming with Spark Streaming, and handling UPSERT in S3 Data Lake with Apache Hudi. Finally, you'll orchestrate your EMR jobs and strategize on-premises Hadoop cluster migration to EMR. In addition to this, you'll explore best practices and cost optimization techniques while implementing your data analytics pipeline in EMR.By the end of this book, you'll be able to build and deploy Hadoop- or Spark-based apps on Amazon EMR and also migrate your existing on-premises Hadoop workloads to AWS.
Zoraida Callejas, Michael McTear
Speech technology has been around for some time now. However, it has only more recently captured the imagination of the general public with the advent of personal assistants on mobile devices that you can talk to in your own language. The potential of voice apps is huge as a novel and natural way to use mobile devices.Voice Application Development for Android is a practical, hands-on guide that provides you with a series of clear, step-by-step examples which will help you to build on the basic technologies and create more advanced and more engaging applications. With this book, you will learn how to create useful voice apps that you can deploy on your own Android device in no time at all.This book introduces you to the technologies behind voice application development in a clear and intuitive way. You will learn how to use open source software to develop apps that talk and that recognize your speech. Building on this, you will progress to developing more complex apps that can perform useful tasks, and you will learn how to develop a simple voice-based personal assistant that you can customize to suit your own needs.For more interesting information about the book, visit http://lsi.ugr.es/zoraida/androidspeechbook
Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin, Xenia Ireton
This new edition of the Azure Data Factory book, fully updated to reflect ADS V2, will help you get up and running by showing you how to create and execute your first job in ADF. There are updated and new recipes throughout the book based on developments happening in Azure Synapse, Deployment with Azure DevOps, and Azure Purview. The current edition also runs you through Fabric Data Factory, Data Explorer, and some industry-grade best practices with specific chapters on each.You’ll learn how to branch and chain activities, create custom activities, and schedule pipelines, as well as discover the benefits of cloud data warehousing, Azure Synapse Analytics, and Azure Data Lake Gen2 Storage. With practical recipes, you’ll learn how to actively engage with analytical tools from Azure Data Services and leverage your on-premises infrastructure with cloud-native tools to get relevant business insights. You'll familiarize yourself with the common errors that you may encounter while working with ADF and find out the solutions to them. You’ll also understand error messages and resolve problems in connectors and data flows with the debugging capabilities of ADF.By the end of this book, you’ll be able to use ADF with its latest advancements as the main ETL and orchestration tool for your data warehouse projects.
Clinton L. Jeffery, Imran Ahmad
There are many reasons to build a programming language: out of necessity, as a learning exercise, or just for fun. Whatever your reasons, this book gives you the tools to succeed.You’ll build the frontend of a compiler for your language and generate a lexical analyzer and parser using Lex and YACC tools. Then you’ll explore a series of syntax tree traversals before looking at code generation for a bytecode virtual machine or native code. In this edition, a new chapter has been added to assist you in comprehending the nuances and distinctions between preprocessors and transpilers. Code examples have been modernized, expanded, and rigorously tested, and all content has undergone thorough refreshing. You’ll learn to implement code generation techniques using practical examples, including the Unicon Preprocessor and transpiling Jzero code to Unicon. You'll move to domain-specific language features and learn to create them as built-in operators and functions. You’ll also cover garbage collection.Dr. Jeffery’s experiences building the Unicon language are used to add context to the concepts, and relevant examples are provided in both Unicon and Java so that you can follow along in your language of choice.By the end of this book, you'll be able to build and deploy your own domain-specific language.
Anthony So, William So, Zsolt Nagy
You already know that artificial intelligence (AI) and machine learning (ML) are present in many of the tools you use in your daily routine. But do you want to be able to create your own AI and ML models and develop your skills in these domains to kickstart your AI career?The Applied Artificial Intelligence Workshop gets you started with applying AI with the help of practical exercises and useful examples, all put together cleverly to help you gain the skills to transform your career.The book begins by teaching you how to predict outcomes using regression. You will then learn how to classify data using techniques such as k-nearest neighbor (KNN) and support vector machine (SVM) classifiers. As you progress, you’ll explore various decision trees by learning how to build a reliable decision tree model that can help your company find cars that clients are likely to buy. The final chapters will introduce you to deep learning and neural networks. Through various activities, such as predicting stock prices and recognizing handwritten digits, you’ll learn how to train and implement convolutional neural networks (CNNs) and recurrent neural networks (RNNs).By the end of this applied AI book, you’ll have learned how to predict outcomes and train neural networks and be able to use various techniques to develop AI and ML models.
Ashish Prajapati, Juan Carlos Ruiz, Marco Tamassia
This book makes understanding cloud computing easy by providing relatable examples that simplify the complex technology. By drawing parallels between cloud concepts and everyday scenarios, we will demystify cloud tech, and once you start to understand it, learning cloud computing will be more enjoyable.This book will help you learn about cloud computing in general and AWS specifically, as you follow the journey of TrendyCorp—a fictitious company gearing up to move from traditional IT to cloud computing. You’ll shape your understanding of the cloud through scenarios of interactions between TrendyCorp’s new hires, seasoned IT professionals, external consultants, and the board of directors engaged in modernizing their applications. These characters’ discussions and actions are focused on learning about cloud services by drawing comparisons between the technology and examples taken from real life. Through this book, you’ll realize that cloud computing concepts have more in common with your day-to-day scenarios and situations than you’ve ever imagined.This book offers a conversational and entertaining narrative that anyone working in IT and looking to understand how the cloud works will be able to follow. By the end of it, you’ll have developed a clear and simplified perspective of cloud technologies.