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

Devangana Khokar, Devangana

Spring MVC Cookbook. Over 40 recipes for creating cloud-ready Java web applications with Spring MVC

Alex Bretet

Spring MVC is a lightweight application framework that comes with a great configuration by default. Being part of the Spring Framework, it naturally extended and supported it with an amazing set of recognizable annotations. External libraries can be plugged in and plugged out. It also possesses a request flow.Complete support of REST web services makes the Spring architecture an extremely consistent choice to support your front-end needs and Internet transformations.From the design of your Maven modules, you will achieve an Enterprise-standard for a stateless REST application based on Spring and Spring MVC with this book.This guide is unique in its style as it features a massive overview of practical development techniques brought together from the Spring ecosystem, the new JEE standards, the JavaScript revolution and Internet of Things.You will begin with the very first steps of Spring MVC's product design. Focused on deployment, viability, and maintainability, you will learn the use of Eclipse, Maven, and Git. You will walk through the separation of concerns driven by the microservices principles. Using Bootstrap and AngularJS, you will develop a responsive front-end, capable of interacting autonomously with a REST API.Later in the book, you will setup the Java Persistence API (JPA) within Spring; learn how to configure your Entities to reflect your domain needs, and discover Spring Data repositories. You will analyze how Spring MVC responds to complex HTTP requests. You will implement Hypermedia and HATEOAS to guide your customer's stateless conversation with the product and see how a messaging-service based on WebSocket can be configured. Finally you will learn how to set up and organize different levels of automated-tests, including logging and monitoring.

Getting Started with MariaDB. Explore the powerful features of MariaDB with practical examples

Daniel Bartholomew

MariaDB is a database that has become very popular in the few short years that it has been around. It does not require a big server or expensive support contract. It is also powerful enough to be the database of choice for some of the biggest and most popular websites in the world, taking full advantage of the latest computing hardware available.From installing and configuring through basic usage and maintenance, each chapter in this revised and expanded guide leads on sequentially and logically from the one before it, introducing topics in their natural order so you learn what you need, when you need it. The book is based on the latest release of MariaDB and covers all the latest features and functions. By the end of this beginner-friendly book, not only will you have a running installation of MariaDB, but you will have practical, hands-on experience in the basics of how to install, configure, administer, use, and maintain it.

MDX with Microsoft SQL Server 2016 Analysis Services Cookbook. Over 70 practical recipes to analyze multi-dimensional data in SQL Server 2016 Analysis Services cubes - Third Edition

Tomislav Piasevoli, Sherry Li

If you're often faced with MDX challenges, this is a book for you. It will teach you how to solve various real-world businessrequirements using MDX queries and calculations. Examples in the book introduce an idea or a problem and then guide you throughthe process of implementing the solution in a step-by-step manner, inform you about the best practices and offer a deep knowledge in terms of how the solution works. Recipes are organized by chapters, each covering a single topic. They start slowly and logically progress to more advanced techniques. In case of complexity, things are broken down. Instead of one, there are series of recipes built one on top of another. This way you are able to see intermediate results and debug potential errors faster. Finally, the cookbook format is here to help you quickly identify the topic of interest and in it a wide range of practical solutions, that is – MDX recipes for your success.

PrimeFaces Cookbook. Here are over 100 recipes for PrimeFaces, the ultimate JSF framework. It's a great practical introduction to leading-edge Java web development, taking you from the basics right through to writing custom components

Mert Caliskan, MERT ??ALI??KAN, Oleg Varaksin, Cagatay Civici

PrimeFaces is the de facto standard in the Java web development. PrimeFaces is a lightweight library with one jar, zero-configuration, and no required dependencies. You just need to download PrimeFaces, add the primefaces-{version}.jar to your classpath and import the namespace to get started. This cookbook provides a head start by covering all the knowledge needed for working with PrimeFaces components in the real world. PrimeFaces Cookbook covers over 100 effective recipes for PrimeFaces 3.x which is a leading component suite to boost JSF applications. The book's range is wide‚Äí from AJAX basics, theming, and input components to advanced usage of datatable, menus, drag & drop, and charts. It also includes creating custom components and PrimeFaces Extensions.You will start with the basic concepts such as installing PrimeFaces, configuring it, and writing a first simple page. You will learn PrimeFaces' theming concept and common inputs and selects components. After that more advanced components and use cases will be discussed. The topics covered are grouping content with panels, data iteration components, endless menu variations, working with files and images, using drag & drop, creating charts, and maps. The last chapters describe solutions for frequent, advanced scenarios and give answers on how to write custom components based on PrimeFaces and also show the community-driven open source project PrimeFaces Extension in action.

VMware Workstation - No Experience Necessary. Get started from scratch with Vmware Workstation using this essential guide. Taking you from installation on Windows or Linux through to advanced virtual machine features, you'll be setting up a test environment in no time

Sander van Vugt

VMware Workstation runs on Linux as well as Windows hosts and handles different virtual machine formats, which allows you to share your work with users of other virtualization platforms, including VirtualBox, VMware Player, and VMware vSphere environments.VMware Workstation - No Experience Necessary helps you in getting started with VMware Workstation. You'll learn how to install VMware Workstation in any circumstance, and how to create virtual machines and keep different configurations for each virtual machine, which helps in setting up extensive test environments. You'll also learn how to share these virtual machines with users of other virtualization products as well as the cloud.In VMware Workstation - No Experience Necessary you'll start learning about different virtualization solutions. In this introduction you'll learn how VMware Workstation differs from other workstation virtualization platforms such as Oracle Virtual Box, and from data centre virtualization solutions such as VMware vSphere. Next, you'll learn how to install VMware Workstation on either a Windows or a Linux host and how to create virtual machines on these host platforms.After installing virtual machines, you'll learn about advanced virtual machine features, including advanced networking and storage setups, which allow you to mirror a data centre setup as closely as possible. An important part of the setup of such an environment is working with snapshots and clones, which is discussed in detail. You'll also learn how to use virtual machines that are created on other host computers.The final part of the book teaches you how to share virtual machines with others. You'll learn how to upload virtual machines to VMware vSphere, and how to share virtual machines with users of VMware Player.

Mastering WooCommerce 4. Build complete e-commerce websites with WordPress and WooCommerce from scratch

Patrick Rauland

WooCommerce is one of the most flexible platforms for building online stores. With its flexibility, you can offer virtually any feature to a client using the WordPress system. WooCommerce is also self-hosted, so the ownership of data lies with you and your client.This book starts with the essentials of building a WooCommerce store. You’ll learn how to set up WooCommerce and implement payment, shipping, and tax options, as well as configure your product. The book also demonstrates ways to customize and manage your products by using SEO for enhanced visibility. As you advance, you’ll understand how to manage sales by using POS systems, outsource fulfillment, and external reporting services. Once you’ve set up and organized your online store, you’ll focus on improving the user experience of your e-commerce website. In addition to this, the book takes you through caching techniques to not only improve the speed and performance of your website but also its look and UI by adding themes. Finally, you’ll build the landing page for your website to promote your product, and design WooCommerce plugins to customize the functionalities of your e-commerce website.By the end of this WooCommerce book, you’ll have learned how to run a complete WooCommerce store, and be able to customize each section of the store on the frontend as well as backend.

Learning Predictive Analytics with Python. Click here to enter text

Ashish Kumar

Social Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not in its raw form - It needs to be processed and modeled, and Python is one of the most robust tools out there to do so. It has an array of packages for predictive modeling and a suite of IDEs to choose from. Learning to predict who would win, lose, buy, lie, or die with Python is an indispensable skill set to have in this data age. This book is your guide to getting started with Predictive Analytics using Python. You will see how to process data and make predictive models from it. We balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and numpy. You’ll start by getting an understanding of the basics of predictive modeling, then you will see how to cleanse your data of impurities and get it ready it for predictive modeling. You will also learn more about the best predictive modeling algorithms such as Linear Regression, Decision Trees, and Logistic Regression. Finally, you will see the best practices in predictive modeling, as well as the different applications of predictive modeling in the modern world.