Microsoft System Center Orchestrator 2012 R2 Essentials

Miguel Oliveira, Jeremy Pavleck

Jira Work Management for Business Teams. Accelerate digital transformation and modernize your organization with Jira Work Management

John Funk

Jira Work Management (JWM) is the newest project management tool from Atlassian, replacing Atlassian's previous product, Jira Core Cloud. While Jira Software focuses on development groups, JWM is specifically targeted toward business teams in your organization, such as human resources, accounting, legal, and marketing, enabling these functional groups to manage and enhance their work, as well as stay connected with their company's developers and other technical groups. This book helps you to explore Jira project templates and work creation and guides you in modifying a board, workflow, and associated schemes.Jira Work Management for Business Teams takes a hands-on approach to JWM implementation and associated processes that will help you get up and running with Jira and make you productive in no time. As you explore the toolset, you'll find out how to create reports, forms, and dashboards. The book also shows you how to manage screens, field layouts, and administer your JWM projects effectively. Finally, you'll get to grips with the basics of creating automation rules and the most popular use cases.By the end of this Jira book, you'll be able to build and manage your own Jira Work Management projects and make basic project-related adjustments to achieve optimal productivity.

Mastering Dart. Master the art of programming high-performance applications with Dart

Sergey Akopkokhyants

Working with Linux - Quick Hacks for the Command Line. Command line power like you've never seen

Bogdan Vaida, Petru I>>ôfan

Websites, online services, databases, and pretty much every other computer that offers public services runs on Linux. From small servers to clusters, Linux is anywhere and everywhere. With such a broad usage, the demand for Linux specialists is ever growing. For the engineers out there, this means being able to develop, interconnect, and maintain Linux environments.This book will help you increase your terminal productivity by using Terminator, Guake and other tools. It will start by installing Ubuntu and will explore tools and techniques that will help you to achieve more work with less effort. Next, it will then focus on Terminator, the ultimate terminal, and vim, one of the most intelligent console editors. Futhermore, the readers will see how they can increase their command line productivity by using sed, find, tmux, network, autoenv. The readers will also see how they can edit files without leaving the terminal and use the screen space efficiently and copy-paste like a pro. Towards the end, we focus on network settings, Git hacks, and creating portable environments for development and production using Docker. Through this book, you will improve your terminal productivity by seeing how to use different tools.

Mastering Social Media Mining with R. Extract valuable data from your social media sites and make better business decisions using R

Vikram Garg, Sharan Kumar Ravindran

With an increase in the number of users on the web, the content generated has increased substantially, bringing in the need to gain insights into the untapped gold mine that is social media data. For computational statistics, R has an advantage over other languages in providing readily-available data extraction and transformation packages, making it easier to carry out your ETL tasks. Along with this, its data visualization packages help users get a better understanding of the underlying data distributions while its range of standard statistical packages simplify analysis of the data.This book will teach you how powerful business cases are solved by applying machine learning techniques on social media data. You will learn about important and recent developments in the field of social media, along with a few advanced topics such as Open Authorization (OAuth). Through practical examples, you will access data from R using APIs of various social media sites such as Twitter, Facebook, Instagram, GitHub, Foursquare, LinkedIn, Blogger, and other networks. We will provide you with detailed explanations on the implementation of various use cases using R programming.With this handy guide, you will be ready to embark on your journey as an independent social media analyst.

Lighttpd. Installing, compiling, configuring, optimizing, and securing this lightning-fast web server

Andre Bogus

Hands-On Graph Neural Networks Using Python. Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

Maxime Labonne

Graph neural networks are a highly effective tool for analyzing data that can be represented as a graph, such as social networks, chemical compounds, or transportation networks. The past few years have seen an explosion in the use of graph neural networks, with their application ranging from natural language processing and computer vision to recommendation systems and drug discovery.Hands-On Graph Neural Networks Using Python begins with the fundamentals of graph theory and shows you how to create graph datasets from tabular data. As you advance, you’ll explore major graph neural network architectures and learn essential concepts such as graph convolution, self-attention, link prediction, and heterogeneous graphs. Finally, the book proposes applications to solve real-life problems, enabling you to build a professional portfolio. The code is readily available online and can be easily adapted to other datasets and apps.By the end of this book, you’ll have learned to create graph datasets, implement graph neural networks using Python and PyTorch Geometric, and apply them to solve real-world problems, along with building and training graph neural network models for node and graph classification, link prediction, and much more.

A Developer's Guide to Cloud Apps Using Microsoft Azure. Migrate and modernize your cloud-native applications with containers on Azure using real-world case studies

Hamida Rebai Trabelsi, Marc-Andre Laniel

Companies face several challenges during cloud adoption, with developers and architects needing to migrate legacy applications and build cloud-oriented applications using Azure-based technologies in different environments. A Developer’s Guide to Cloud Apps Using Microsoft Azure helps you learn how to migrate old apps to Azure using the Cloud Adoption Framework and presents use cases, as well as build market-ready secure and reliable applications.The book begins by introducing you to the benefits of moving legacy apps to the cloud and modernizing existing ones using a set of new technologies and approaches. You’ll then learn how to use technologies and patterns to build cloud-oriented applications. This app development book takes you on a journey through three major services in Azure, namely Azure Container Registry, Azure Container Instances, and Azure Kubernetes Service, which will help you build and deploy an application based on microservices. Finally, you’ll be able to implement continuous integration and deployment in Azure to fully automate the software delivery process, including the build and release processes.By the end of this book, you’ll be able to perform application migration assessment and planning, select the right Azure services, and create and implement a new cloud-oriented application using Azure containers and orchestrators.