MS-700 Managing Microsoft Teams Exam Guide. Ace the MS-700 exam and become a Certified Microsoft Teams Administrator - Third Edition

Nate Chamberlain, Peter Rising

MS-700 Managing Microsoft Teams Exam Guide, Third Edition provides a thorough exploration of Microsoft Teams administration, charting a clear pathway to mastering deployment, management, and optimization within the Microsoft 365 ecosystem. Devoted to empowering users to harness the full potential of Microsoft 365 tools, Nate Chamberlain draws from his extensive experience as a Microsoft Certified Trainer and Project Management Professional, to infuse this guide with educational insights into Microsoft Teams administration.This edition equips you with the latest features and essential knowledge to navigate the Teams admin center and use PowerShell for comprehensive management. This guide instills confidence for the MS-700 certification exam while serving as a handy reference for daily administration. Through concise chapters, you'll uncover Teams policies, essential settings, and configuration nuances crucial for any Teams administrator. Complex concepts are distilled into actionable strategies and best practices, preparing you for real-world challenges in deploying and managing Teams. It also includes web-based exam prep resources like mock exams, interactive flashcards, and valuable exam tips.By the end of this book, you’ll be primed to excel in the exam and advance in your role as a skilled Microsoft Teams administrator.

The PEAR Installer Manifesto. The PEAR Installer maintainer shows you the power of this code management and deployment system to revolutionize your PHP application development

Gregory Beaver

PEAR stands for PHP Extension and Application Repository, and its primary purpose is to support code re-use. PEAR provides both an advanced installer and a code repository at https://pear.php.net. PEAR code is organized into discrete re-usable components called packages. A package consists of a group of files and a descriptor file called package.xml that contains metadata about the package's contents, such as the package version, any special dependencies, and textual information such as the package description and authors.The software that transforms a package from an inert grouping of files into a dynamic software package is called the PEAR Installer and is itself a PEAR package. In other words, the PEAR Installer can be used to upgrade itself. It truly is a very powerful application. In short, the PEAR Installer is one of the most effective tools for managing a high-quality software library, high-quality applications, or high-quality websites.This book will show you a new way of organizing your PHP development, by leveraging the full power of the PEAR Installer. In a sense, the PEAR Installer is a step above a software design pattern, a meta-development pattern that can be used to systematically organize all of your PHP development.You will learn how to organize your code into packages using the package.xml format. You will learn about the revolutionary new PEAR Channel concept, and how to safely and reliably depend on external PHP libraries from sources such as pear.php.net and other PEAR channels. You will learn about the PEAR_PackageFileManager package, and how to customize individual installations of your PHP code through file roles, file tasks, and post-installation scripts.In addition, you will learn how to use the power of PEAR to manage your web projects with the PEAR installer to bring the power of versioning and rollbacks to your live website. The synergy of the PEAR Installer and a revision control system like CVS or Subversion is also explored in depth.Next, you will learn how to set up your own PEAR Channel for distributing PHP applications, both open-source and proprietary closed-source PHP applications that can be secured using technology already built into the PEAR Installer.Finally, you will learn how to embed the PEAR Installer inside your own web application in order to manage plug-ins from a remote server. The book covers in detail designing a custom plug-in system for a fictitious blog application. The plug-in system is used to manage templates, and the PEAR Installer is used to manage the details of querying the remote server for templates, handling dependencies between versioning, and doing the actual installation process as well.

Amazon DynamoDB - The Definitive Guide. Explore enterprise-ready, serverless NoSQL with predictable, scalable performance

Aman Dhingra, Mike Mackay

This book will help you master Amazon DynamoDB, the fully managed, serverless, NoSQL database service designed for high performance at any scale. Authored by Aman Dhingra, senior DynamoDB specialist solutions architect at AWS, and Mike Mackay, former senior NoSQL specialist solutions architect at AWS, this guide draws on their expertise to equip you with the knowledge and skills needed to harness DynamoDB's full potential.This book not only introduces you to DynamoDB's core features and real-world applications, but also provides in-depth guidance on transitioning from traditional relational databases to the NoSQL world. You'll learn essential data modeling techniques, such as vertical partitioning, and explore the nuances of DynamoDB's indexing capabilities, capacity modes, and consistency models. The chapters also help you gain a solid understanding of advanced topics such as enhanced analytical patterns, implementing caching with DynamoDB Accelerator (DAX), and integrating DynamoDB with other AWS services to optimize your data strategies.By the end of this book, you’ll be able to design, build, and deliver low-latency, high-throughput DynamoDB solutions, driving new levels of efficiency and performance for your applications.

Gephi Cookbook. Over 90 hands-on recipes to master the art of network analysis and visualization with Gephi

Devangana Khokar, Devangana

Technology Operating Models for Cloud and Edge. Create your purpose-built distributed operating model for public, hybrid, multicloud, and edge

Ahilan Ponnusamy, Andreas Spanner, Mirco Hering, Vincent Caldeira, ...

Cloud goals, such as faster time to market, lower total cost of ownership (TCO), capex reduction, self-service enablement, and complexity reduction are important, but organizations often struggle to achieve the desired outcomes. With edge computing gaining momentum across industries and making it possible to move workloads seamlessly between cloud and edge locations, organizations need working recipes to find ways of extracting the most value out of their cloud and edge estate.This book provides a practical way to build a strategy-aligned operating model while considering various related factors such as culture, leadership, team structures, metrics, intrinsic motivators, team incentives, tenant experience, platform engineering, operations, open source, and technology choices. Throughout the chapters, you’ll discover how single, hybrid, or multicloud architectures, security models, automation, application development, workload deployments, and application modernization can be reutilized for edge workloads to help you build a secure yet flexible technology operating model. The book also includes a case study which will walk you through the operating model build process in a step-by-step way.By the end of this book, you’ll be able to build your own fit-for-purpose distributed technology operating model for your organization in an open culture way.

Getting Started with nopCommerce. You don't have to be a techie to use the power of nopCommerce to sell your products online. This guide walks you through the many features of the engine to create a complete working store in easy steps

Brandon Atkinson, Andrei Mazoulnitsyn

nopCommerce is a powerful e-commerce engine that gives you the tools to build an online store and start making money. Starting your own e-commerce store can seem like a daunting task. However, with nopCommerce you can easily start selling products online in no time. nopCommerce comes loaded with everything you need to run a first class e-commerce storefront.Getting Started with nopCommerce walks you through all the steps to get your storefront up and running. You will learn how to download and install nopCommerce, as well as how to configure all the main components of the storefront. From learning about the public facing storefront to managing orders in the backend, you will have all the skills needed to run a successful store.Getting Started with nopCommerce is a step-by-step guide for creating your online store with nopCommerce, allowing you to build a feature-rich and customizable store to sell your products online. It guides you through installation, the public facing storefront, configuration, adding products, accepting payments, and processing orders. As you work through each chapter, your online store will grow in scope and functionality. By the time you finish this book, you will have a complete and working store.

Python: Data Analytics and Visualization. Perform data processing and analysis with the help of python libraries, gain practical insights into predictive modeling and generate effective results in a variety of visually appealing charts using the plotting packages in Python

Martin Czygan, Phuong Vo.T.H, Ashish Kumar, Kirthi Raman

You will start the course with an introduction to the principles of data analysis and supported libraries, along with NumPy basics for statistics and data processing. Next, you will overview the Pandas package and use its powerful features to solve data-processing problems. Moving on, you will get a brief overview of the Matplotlib API .Next, you will learn to manipulate time and data structures, and load and store data in a file or database using Python packages. You will learn how to apply powerful packages in Python to process raw data into pure and helpful data using examples. You will also get a brief overview of machine learning algorithms, that is, applying data analysis results to make decisions or building helpful products such as recommendations and predictions using Scikit-learn. After this, you will move on to a data analytics specialization—predictive analytics. Social media and IOT have resulted in an avalanche of data. You will get started with predictive analytics using Python. You will see how to create predictive models from data. You will get balanced information on statistical and mathematical concepts, and implement them in Python using libraries such as Pandas, scikit-learn, and NumPy. You’ll learn more about the best predictive modeling algorithms such as Linear Regression, Decision Tree, and Logistic Regression. Finally, you will master best practices in predictive modeling.After this, you will get all the practical guidance you need to help you on the journey to effective data visualization. Starting with a chapter on data frameworks, which explains the transformation of data into information and eventually knowledge, this path subsequently cover the complete visualization process using the most popular Python libraries with working examplesThis Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:? Getting Started with Python Data Analysis, Phuong Vo.T.H &Martin Czygan•Learning Predictive Analytics with Python, Ashish Kumar•Mastering Python Data Visualization, Kirthi Raman

The Deep Learning with PyTorch Workshop. Build deep neural networks and artificial intelligence applications with PyTorch

Hyatt Saleh

Want to get to grips with one of the most popular machine learning libraries for deep learning? The Deep Learning with PyTorch Workshop will help you do just that, jumpstarting your knowledge of using PyTorch for deep learning even if you’re starting from scratch.It’s no surprise that deep learning’s popularity has risen steeply in the past few years, thanks to intelligent applications such as self-driving vehicles, chatbots, and voice-activated assistants that are making our lives easier. This book will take you inside the world of deep learning, where you’ll use PyTorch to understand the complexity of neural network architectures.The Deep Learning with PyTorch Workshop starts with an introduction to deep learning and its applications. You’ll explore the syntax of PyTorch and learn how to define a network architecture and train a model. Next, you’ll learn about three main neural network architectures - convolutional, artificial, and recurrent - and even solve real-world data problems using these networks. Later chapters will show you how to create a style transfer model to develop a new image from two images, before finally taking you through how RNNs store memory to solve key data issues.By the end of this book, you’ll have mastered the essential concepts, tools, and libraries of PyTorch to develop your own deep neural networks and intelligent apps.