Видавець: Packt Publishing
Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools. As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.
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SQL for Data Analytics. Harness the power of SQL to extract insights from data - Third Edition

Jun Shan, Matt Goldwasser, Upom Malik, Benjamin Johnston

Every day, businesses operate around the clock, and a huge amount of data is generated at a rapid pace. This book helps you analyze this data and identify key patterns and behaviors that can help you and your business understand your customers at a deep, fundamental level.SQL for Data Analytics, Third Edition is a great way to get started with data analysis, showing how to effectively sort and process information from raw data, even without any prior experience.You will begin by learning how to form hypotheses and generate descriptive statistics that can provide key insights into your existing data. As you progress, you will learn how to write SQL queries to aggregate, calculate, and combine SQL data from sources outside of your current dataset. You will also discover how to work with advanced data types, like JSON. By exploring advanced techniques, such as geospatial analysis and text analysis, you will be able to understand your business at a deeper level. Finally, the book lets you in on the secret to getting information faster and more effectively by using advanced techniques like profiling and automation. By the end of this book, you will be proficient in the efficient application of SQL techniques in everyday business scenarios and looking at data with the critical eye of analytics professional. 

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Mastering Palo Alto Networks. Deploy and manage industry-leading PAN-OS 10.x solutions to secure your users and infrastructure

Tom Piens aka 'reaper'

To safeguard against security threats, it is crucial to ensure that your organization is effectively secured across networks, mobile devices, and the cloud. Palo Alto Networks’ integrated platform makes it easy to manage network and cloud security along with endpoint protection and a wide range of security services. With this book, you'll understand Palo Alto Networks and learn how to implement essential techniques, right from deploying firewalls through to advanced troubleshooting.The book starts by showing you how to set up and configure the Palo Alto Networks firewall, helping you to understand the technology and appreciate the simple, yet powerful, PAN-OS platform. Once you've explored the web interface and command-line structure, you'll be able to predict expected behavior and troubleshoot anomalies with confidence. You'll learn why and how to create strong security policies and discover how the firewall protects against encrypted threats. In addition to this, you'll get to grips with identifying users and controlling access to your network with user IDs and even prioritize traffic using quality of service (QoS). The book will show you how to enable special modes on the firewall for shared environments and extend security capabilities to smaller locations.By the end of this network security book, you'll be well-versed with advanced troubleshooting techniques and best practices recommended by an experienced security engineer and Palo Alto Networks expert.

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Hands-On Deep Learning Architectures with Python. Create deep neural networks to solve computational problems using TensorFlow and Keras

Yuxi (Hayden) Liu, Saransh Mehta

Deep learning architectures are composed of multilevel nonlinear operations that represent high-level abstractions; this allows you to learn useful feature representations from the data. This book will help you learn and implement deep learning architectures to resolve various deep learning research problems.Hands-On Deep Learning Architectures with Python explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations and ideas to help you build efficient artificial intelligence systems (AI), this book will help you learn how neural networks play a major role in building deep architectures. You will understand various deep learning architectures (such as AlexNet, VGG Net, GoogleNet) with easy-to-follow code and diagrams. In addition to this, the book will also guide you in building and training various deep architectures such as the Boltzmann mechanism, autoencoders, convolutional neural networks (CNNs), recurrent neural networks (RNNs), natural language processing (NLP), GAN, and more—all with practical implementations.By the end of this book, you will be able to construct deep models using popular frameworks and datasets with the required design patterns for each architecture. You will be ready to explore the potential of deep architectures in today's world.

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Mastering QuickBooks(R) 2023. The Ultimate Guide to Bookkeeping with QuickBooks® - Fourth Edition

Crystalynn Shelton

Mastering QuickBooks® 2023 is a comprehensive guide that covers everything you need to know to master QuickBooks, from setting up your accounts and managing your transactions to generating reports and integrating with other software.With step-by-step instructions, real-world examples, and practical tips and tricks, this book is designed to help small business owners, independent contractors, and bookkeepers optimize their financial management and streamline their business operations.

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Getting Started with Talend Open Studio for Data Integration. This is the complete course for anybody who wants to get to grips with Talend Open Studio for Data Integration. From the basics of transferring data to complex integration processes, it will give you a head start

Jonathan Bowen

Talend Open Studio for Data Integration (TOS) is an open source graphical development environment for creating custom integrations between systems. It comes with over 600 pre-built connectors that make it quick and easy to connect databases, transform files, load data, move, copy and rename files and connect individual components in order to define complex integration processes.Getting Started with Talend Open Studio for Data Integration illustrates common uses and scenarios in a simple, practical manner and, building on knowledge as the book progresses, works towards more complex integration solutions.TOS is a code generator and so does a lot of the heavy liftingù for you. As such, it is a suitable tool for experienced developers and non-developers alike. You'll start by learning how to construct some common integrations tasks ñ transforming files and extracting data from a database, for example. These building blocks form a toolkitù of techniques that you will learn how to apply in many different situations.By the end of the book, once complex integrations will appear easy and you will be your organization's integration expert!Best of all, TOS makes integrating systems fun!

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Practical Microservices with Dapr and .NET. A developer's guide to building cloud-native applications using the event-driven runtime - Second Edition

Davide Bedin, Mark Russinovich

This second edition will help you get to grips with microservice architectures and how to manage application complexities with Dapr in no time. You'll understand how Dapr simplifies development while allowing you to work with multiple languages and platforms. Following a C# sample, you'll understand how Dapr's runtime, building blocks, and software development kits (SDKs) help you to simplify the creation of resilient and portable microservices.Dapr provides an event-driven runtime that supports the essential features you need for building microservices, including service invocation, state management, and publish/subscribe messaging. You'll explore all of those in addition to various other advanced features with this practical guide to learning Dapr. With a focus on deploying the Dapr sample application to an Azure Kubernetes Service cluster and to the Azure Container Apps serverless platform, you’ll see how to expose the Dapr application with NGINX, YARP, and Azure API Management.By the end of this book, you'll be able to write microservices easily by implementing industry best practices to solve problems related to distributed systems.

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