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Психологія
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Подкасти
SwiftUI Essentials - iOS Edition. Learn to Develop iOS Apps using SwiftUI, Swift 5 and Xcode 11
Beginning with the basics, this book provides an outline of the steps necessary to set up an iOS development environment and introduced you to Swift Playgrounds so that you can learn and experiment with Swift.You’ll begin with an introduction to the key concepts of SwiftUI and its architecture. You’ll learn how to create customer SwiftUI views and combine them to create user interface layouts including how to use stacks, frames, and forms. As you progress, you’ll learn how to handle data using state properties. You’ll also learn how to use graphics, animation, transitions, and gestures in your user interface. The book finishes by explaining how to package an application and upload it to the App Store for publication.By the end of the book, you’ll have all the necessary skills to develop your own applications for iOS 13 with SwiftUI, Swift 5, and Xcode 11.
Bret Williams, Jonathan Bownds
The long-awaited release of the world's most popular online solution, Magento 2, is now out with an all new interface and several enhancements. This book offers you advanced guidance on managing, optimizing, and extending your store while taking advantage of the new features of Magento 2.This is a comprehensive guide to using the all new features and interface of Magento 2 to build, extend, and design online stores. From planning your Magento installation through to advanced techniques designed to make your store as successful as possible, this book is your roadmap to managing your Magento store. Focusing on Magento's Community version, the book covers everything from creating and managing multiple stores to fine-tuning Magento for speed and performance. You’ll learn how to manage categories, products, design themes, extensions, and more.
Data engineering is one of the faster growing job areas as Data Engineers are the ones who ensure that the data is extracted, provisioned and the data is of the highest quality for data analysis. This book uses various Azure services to implement and maintain infrastructure to extract data from multiple sources, and then transform and load it for data analysis.It takes you through different techniques for performing big data engineering using Microsoft Azure Data services. It begins by showing you how Azure Blob storage can be used for storing large amounts of unstructured data and how to use it for orchestrating a data workflow. You'll then work with different Cosmos DB APIs and Azure SQL Database. Moving on, you'll discover how to provision an Azure Synapse database and find out how to ingest and analyze data in Azure Synapse. As you advance, you'll cover the design and implementation of batch processing solutions using Azure Data Factory, and understand how to manage, maintain, and secure Azure Data Factory pipelines. You’ll also design and implement batch processing solutions using Azure Databricks and then manage and secure Azure Databricks clusters and jobs. In the concluding chapters, you'll learn how to process streaming data using Azure Stream Analytics and Data Explorer.By the end of this Azure book, you'll have gained the knowledge you need to be able to orchestrate batch and real-time ETL workflows in Microsoft Azure.
Debu Panda, Phil Bates, Bhanu Pittampally, Sumeet Joshi, ...
Amazon Redshift Serverless enables organizations to run petabyte-scale cloud data warehouses quickly and in a cost-effective way, enabling data science professionals to efficiently deploy cloud data warehouses and leverage easy-to-use tools to train models and run predictions. This practical guide will help developers and data professionals working with Amazon Redshift data warehouses to put their SQL knowledge to work for training and deploying machine learning models.The book begins by helping you to explore the inner workings of Redshift Serverless as well as the foundations of data analytics and types of data machine learning. With the help of step-by-step explanations of essential concepts and practical examples, you’ll then learn to build your own classification and regression models. As you advance, you’ll find out how to deploy various types of machine learning projects using familiar SQL code, before delving into Redshift ML. In the concluding chapters, you’ll discover best practices for implementing serverless architecture with Redshift.By the end of this book, you’ll be able to configure and deploy Amazon Redshift Serverless, train and deploy machine learning models using Amazon Redshift ML, and run inference queries at scale.
Tripp Corbin, GISP, Kirk Larson
ArcGIS Pro, Esri's newest desktop GIS application, offers powerful tools for visualizing, maintaining, and analyzing data. This cookbook will help existing ArcMap users transition to ArcGIS Pro and teach new users how to utilize its GIS tools effectively. You’ll learn how to create geodatabases, convert data formats, link tables from outside sources, edit 2D and 3D data, ensure data integrity with topology, and enable advanced geodatabase behavior. By the end, you'll be able to effectively use ArcGIS Pro as your primary desktop GIS application, maintaining, analyzing, and displaying data using common methods and tools.
Policy as Code (PaC) is a powerful paradigm that enables organizations to implement, validate, and measure policies at scale. Policy Design in the Age of Digital Adoption is a comprehensive guide to understanding policies, their design, and implementation for cloud environments using a DevOps-based framework. You'll discover how to create the necessary automation, its integration, and which stakeholders to involve.Complete with essential concepts, practical examples, and self-assessment questions, this book will help you understand policies and how new technologies such as cloud, microservices, and serverless leverage Policy as Code. You'll work with a custom framework to implement PaC in the organization, and advance to integrating policies, guidelines, and regulations into code to enhance the security and resilience posture of the organization. You'll also examine existing tools, evaluate them, and learn a framework to implement PaC so that technical and business teams can collaborate more effectively.By the end of this book, you'll have gained the confidence to design digital policies across your organizational environment.
Test Studio is Telerik's QA solution for automating your manual testing. With Test Studio's standalone edition or Visual Studio plugin, you can rule out the possibility of unreliable test execution and UI recognition, non indicative test results and reports, dispersed test repository, low code coverage, and unaffordable learning curves. With no code, this tool provides an intuitive IDE to effortlessly create maintainable tests. If you are looking for a solution to automate testing for your web, desktop, or mobile application, you can now benefit from Test Studio's rich automation features.Learning Software Testing with Test Studio will illustrate how to reliably automate test cases when it is time to relinquish manual testing habits. This book is all about less theory and more hands-on examples to present a complete manual and automated solution for your ASP .NET, WPF, Silverlight or iOS apps.This book gets you started directly with automation in Test Studio by exploiting its recording powers through series of concrete test cases built around the equipped applications. Each chapter starts with a typical automation problem which is then approached using Test Studio specialized automation features.You will learn how to create record and playback functional, performance, and load tests. Furthermore, we will see how to insert verification steps, logical constructs, convenient logging operations, and how to convert test scripts in order to implement keyword and data-driven architectures. To endow your tests with additional flexibility, each recorded automation feature will be approached from its coded perspective through the usage of the underlying ArtOfTest Test Studio automation library.This book also illustrates how Test Studio can automate pre-conditions, test result inputting, and the capturing of system states during manual test case execution in order to keep the tester's attention focused on the important details.
R Data Science Essentials. R Data Science Essentials
Raja B. Koushik, Sharan Kumar Ravindran
With organizations increasingly embedding data science across their enterprise and with management becoming more data-driven it is an urgent requirement for analysts and managers to understand the key concept of data science. The data science concepts discussed in this book will help you make key decisions and solve the complex problems you will inevitably face in this new world. R Data Science Essentials will introduce you to various important concepts in the field of data science using R. We start by reading data from multiple sources, then move on to processing the data, extracting hidden patterns, building predictive and forecasting models, building a recommendation engine, and communicating to the user through stunning visualizations and dashboards.By the end of this book, you will have an understanding of some very important techniques in data science, be able to implement them using R, understand and interpret the outcomes, and know how they helps businesses make a decision.
Cryptography Algorithms is designed to help you get up and running with modern cryptography algorithms. You'll not only explore old and modern security practices but also discover practical examples of implementing them effectively.The book starts with an overview of cryptography, exploring key concepts including popular classical symmetric and asymmetric algorithms, protocol standards, and more. You'll also cover everything from building crypto codes to breaking them. In addition to this, the book will help you to understand the difference between various types of digital signatures. As you advance, you will become well-versed with the new-age cryptography algorithms and protocols such as public and private key cryptography, zero-knowledge protocols, elliptic curves, quantum cryptography, and homomorphic encryption. Finally, you'll be able to apply the knowledge you've gained with the help of practical examples and use cases.By the end of this cryptography book, you will be well-versed with modern cryptography and be able to effectively apply it to security applications.
Ashish M Kothekar, Sandeep Patil
This comprehensive guide to QRadar will help you build an efficient security operations center (SOC) for threat hunting and need-to-know software updates, as well as understand compliance and reporting and how IBM QRadar stores network data in real time.The book begins with a quick introduction to QRadar components and architecture, teaching you the different ways of deploying QRadar. You’ll grasp the importance of being aware of the major and minor upgrades in software and learn how to scale, upgrade, and maintain QRadar. Once you gain a detailed understanding of QRadar and how its environment is built, the chapters will take you through the features and how they can be tailored to meet specifi c business requirements. You’ll also explore events, flows, and searches with the help of examples. As you advance, you’ll familiarize yourself with predefined QRadar applications and extensions that successfully mine data and find out how to integrate AI in threat management with confidence. Toward the end of this book, you’ll create different types of apps in QRadar, troubleshoot and maintain them, and recognize the current security challenges and address them through QRadar XDR.By the end of this book, you’ll be able to apply IBM QRadar SOC’s prescriptive practices and leverage its capabilities to build a very efficient SOC in your enterprise.
Soheil Bakhshi, Christian Wade
This book is a comprehensive guide to understanding the ins and outs of data modeling and how to create data models using Power BI confidently.You'll learn how to connect data from multiple sources, understand data, define and manage relationships between data, and shape data models to gain deep and detailed insights about your organization.In this book, you'll explore how to use data modeling and navigation techniques to define relationships and create a data model before defining new metrics and performing custom calculations using modeling features. As you advance through the chapters, the book will demonstrate how to create full-fledged data models, enabling you to create efficient data models and simpler DAX code with new data modeling features. With the help of examples, you'll discover how you can solve business challenges by building optimal data models and changing your existing data models to meet evolving business requirements. Finally, you'll learn how to use some new and advanced modeling features to enhance your data models to carry out a wide variety of complex tasks.By the end of this Power BI book, you'll have gained the skills you need to structure data coming from multiple sources in different ways to create optimized data models that support reporting and data analytics.
Associations and Correlations. Unearth the powerful insights buried in your data
Associations and correlations are ways of describing how a pair of variables change together as a result of their connection. By knowing the various available techniques, you can easily and accurately discover and visualize the relationships in your data. This book begins by showing you how to classify your data into the four distinct types that you are likely to have in your dataset. Then, with easy-to-understand examples, you’ll learn when to use the various univariate and multivariate statistical tests. You’ll also discover what to do when your univariate and multivariate results do not match. As the book progresses, it describes why univariate and multivariate techniques should be used as a tag team, and also introduces you to the techniques of visualizing the story of your data. By the end of the book, you’ll know exactly how to select the most appropriate univariate and multivariate tests, and be able to use a single strategic framework to discover the true story of your data.
Liferay portal is the leading horizontal portal product available in the market. It was named lLeader in Gartner's Magic Quadrant for Horizontal Portals. Because of the flexibility offered by Liferay Portal for customizations, it is becoming a preferred best choice for portal implementations. Many influential sites have been implemented with or have switched to the Liferay portal. More and more Liferay developers and architects are needed in the IT industry.Liferay Portal Performance Best Practices will guide you in how to build high performing Liferay -based solutions. The book guides you on how to define the architecture of Liferay- based solutions to meet performance expectations. You will learn how to fine- tune the Liferay portal using configuration changes or applying the right caching strategy. By the time you finish reading, you will realize that you know all the essential best practices to improve the performance of the Liferay portal solution. The book comprises of Liferay portal performance best practices related to various aspects. It starts with the architecture and design best practices and ends with performance tuning and lLoad testing best practices.The book follows the logical flow. In the first chapter it talks about various architectural options and best practices. It also talks about the consequences of various architectural options. It talks about how to configure the Liferay portal to work in a clustered environment. It discusses the various options available in a cluster configuration. The book further talks about various configuration options of different components that are available for improving performance. The book also talks about various development best practices. It concludes with best practices related to load testing and a performance tuning exercise.Liferay Portal Performance Best Practices explains performance best practices with real examples and samples. By the end of this book, the reader will have learned everything he/she needs to know about Liferay portal performance best practices.
John Buechler, Georgios Diamantopoulos, Sohail Salehi, Avery Lee
VirtualDub is one of the most popular video processing applications for Windows. As an open source application, it's free, and is constantly updated and expanded by an active community of developers and experts. VirtualDub is particularly popular for capturing video from analogue sources such as video tape, cleaning up the image and compressing it ready for distribution over the Internet. This book provides a rapid and easy to use tutorial to the basic features of VirtualDub to get you up and running quickly. It explains how to capture great quality video from various sources, use filters to clean up the captured image and add special effects. The book also shows how to use VirtualDub to cut and paste video to remove or insert sequences, including removing ad breaks or trailers. It goes on to cover the art of effective encoding and compression, so you end up with great quality videos that won't hog your bandwidth forever. VirtualDub is the fastest and most effective way to capture, process and encode video on your PC. This book gets you started fast, and goes on to give you full control of all the features of this legendary tool.
As Kubernetes (or K8s) becomes more prolific, managing large clusters at scale in a multi-cloud environment becomes more challenging – especially from a developer productivity and operational efficiency point of view. DevSecOps in Practice with VMware Tanzu addresses these challenges by automating the delivery of containerized workloads and controlling multi-cloud Kubernetes operations using Tanzu tools.This comprehensive guide begins with an overview of the VMWare Tanzu platform and discusses its tools for building useful and secure applications using the App Accelerator, Build Service, Catalog service, and API portal. Next, you’ll delve into running those applications efficiently at scale with Tanzu Kubernetes Grid and Tanzu Application Platform. As you advance, you’ll find out how to manage these applications, and control, observe, and connect them using Tanzu Mission Control, Tanzu Observability, and Tanzu Service Mesh. Finally, you’ll explore the architecture, capabilities, features, installation, configuration, implementation, and benefits of these services with the help of examples.By the end of this VMware book, you’ll have gained a thorough understanding of the VMWare Tanzu platform and be able to efficiently articulate and solve real-world business problems.
Matthew Nohr, Isaac Rabinovitch
AppFog is the leading platform-as-a-service provider of PHP, Ruby, Node.js, and Java solutions. It is used by developers worldwide to deploy tens of thousands of applications. AppFog delivers a reliable, scalable, and fast platform for deploying applications in the cloud.This book is a hands-on guide that will walk you through creating and deploying applications to the cloud using AppFog, which will allow you to get your application deployed without the hassle of setting up servers.This book demonstrates how to use the AppFog service to build an application and have it running in the Cloud. It will walk you through the initial AppFog setup process and explain how to create your first application in minutes.You will also discover how to use services such as databases to make your applications more powerful. You will also learn how to create applications from scratch.You will find out everything you need to know to get an application running in the cloud for the first time.
Threat Hunting with Elastic Stack will show you how to make the best use of Elastic Security to provide optimal protection against cyber threats. With this book, security practitioners working with Kibana will be able to put their knowledge to work and detect malicious adversary activity within their contested network.You'll take a hands-on approach to learning the implementation and methodologies that will have you up and running in no time. Starting with the foundational parts of the Elastic Stack, you'll explore analytical models and how they support security response and finally leverage Elastic technology to perform defensive cyber operations.You’ll then cover threat intelligence analytical models, threat hunting concepts and methodologies, and how to leverage them in cyber operations. After you’ve mastered the basics, you’ll apply the knowledge you've gained to build and configure your own Elastic Stack, upload data, and explore that data directly as well as by using the built-in tools in the Kibana app to hunt for nefarious activities.By the end of this book, you'll be able to build an Elastic Stack for self-training or to monitor your own network and/or assets and use Kibana to monitor and hunt for adversaries within your network.
Before Rust, blockchain developers didn’t have a systems programming language that was type-safe, fast, and, at the same time, had stable and easy memory management. Rust proved to be a boon for developers and works as the perfect solution for not only blockchain and protocol development but also dApp development.Rust for Blockchain Application Development focuses on demonstrating solutions that can help blockchain developers productize decentralized applications using Rust, which is a complex language with a steep learning curve.This book starts with basic Rust language concepts and then builds on these concepts to enable you to develop your own blockchain from scratch. As you progress, you’ll learn how to build dApps on popular chains like Solana and NEAR. You’ll also be guided through creating Ethereum dApps using Foundry (Rust). Finally, you’ll develop a custom blockchain using Substrate by Parity (Polkadot). The book provides a complete 360-degree view of Rust in the blockchain ecosystem.By the end of this Rust book, you’ll have a thorough understanding of how to apply your Rust knowledge to building dApps and blockchains from scratch.
The AWS Certified Machine Learning Specialty exam tests your competency to perform machine learning (ML) on AWS infrastructure. This book covers the entire exam syllabus using practical examples to help you with your real-world machine learning projects on AWS.Starting with an introduction to machine learning on AWS, you'll learn the fundamentals of machine learning and explore important AWS services for artificial intelligence (AI). You'll then see how to prepare data for machine learning and discover a wide variety of techniques for data manipulation and transformation for different types of variables. The book also shows you how to handle missing data and outliers and takes you through various machine learning tasks such as classification, regression, clustering, forecasting, anomaly detection, text mining, and image processing, along with the specific ML algorithms you need to know to pass the exam. Finally, you'll explore model evaluation, optimization, and deployment and get to grips with deploying models in a production environment and monitoring them.By the end of this book, you'll have gained knowledge of the key challenges in machine learning and the solutions that AWS has released for each of them, along with the tools, methods, and techniques commonly used in each domain of AWS ML.