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 Internet of Things with MQTT. Build connected IoT devices with Arduino and MQ Telemetry Transport (MQTT)

Tim Pulver

MQ Telemetry Transport (MQTT) is a lightweight messaging protocol for smart devices that can be used to build exciting, highly scalable Internet of Things (IoT) projects.This book will get you started with a quick introduction to the concepts of IoT and MQTT and explain how the latter can help you build your own internet-connected prototypes. As you advance, you’ll gain insights into how microcontrollers communicate, and you'll get to grips with the different messaging protocols and techniques involved. Once you are well-versed with the essential concepts, you’ll be able to put what you’ve learned into practice by building three projects from scratch, including an automatic pet food dispenser and a smart e-ink to-do display. You’ll also discover how to present your own prototypes professionally. In addition to this, you'll learn how to use technologies from third-party web service providers, along with other rapid prototyping technologies, such as laser cutting, 3D printing, and PCB production.By the end of this book, you’ll have gained hands-on experience in using MQTT to build your own IoT prototypes.

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.

Mathematica Data Visualization. Create and prototype interactive data visualizations using Mathematica

Nazmus Saquib

ServiceStack 4 Cookbook. Over 70 recipes to create web services, build message-based apps, and work with object-relational mapping

Kyle Hodgson, Darren Reid

Instant PhoneGap Social App Development. Consume social network feeds and share social network content using native plugins and PhoneGap

Kerri Shotts

Social media integration in our apps is almost a requirement. Using Phonegap, some plugins, and JSON, we can create an app that consumes Twitter feeds and allows the user to share on Twitter.Instant PhoneGap Social App Development shows you how to create compelling mobile apps that integrate with social media based on Phonegap. The book will show you how to consume Twitter feeds and also share content to Twitter using Twitter Web Intents.Using code listings and easy steps, this book will guide you through the process of creating a Phonegap app, adding plugins, and using the Twitter API and Twitter’s web intents.You’ll learn how to install PhoneGap plugins so that you can extend the capabilities of your application. You’ll also be introduced to Twitter’s JSON API and Twitter’s Web Intents which allow the consuming of feed content and the posting of content to Twitter respectively. Along the way, you’ll also learn how to create a cross-platform mobile app that works on iOS and Android.