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Advanced Cypher tricks

Cypher is a highly efficient language that not only makes querying simpler but also strives to optimize the result-generation process to the maximum. A lot more optimization in performance can be achieved with the help of knowledge related to the data domain of the application being used to restructure queries. This article by Sonal Raj , the author of Neo4j High Performance , covers a few tricks that you can implement with Cypher for optmization.

Speeding Vagrant Development With Docker

In this article by Chad Thompson , author of Vagrant Virtual Development Environment Cookbook , we will learn that many software developers are familiar with using Vagrant ( to distribute and maintain development environments. In most cases, Vagrant is used to manage virtual machines running in desktop hypervisor software such as VirtualBox or the VMware Desktop product suites. (VMware Fusion for OS X and VMware Desktop for Linux and Windows environments.) More recently, Docker ( has become increasingly popular for deploying containers—Linux processes that can run in a single operating system environment yet be isolated from one another. In practice, this means that a container includes the runtime environment for an application, down to the operating system level. While containers have been popular for deploying applications, we can also use them for desktop development. Vagrant can use Docker in a couple of ways: As a target for running a process defined by Vagrant with the Vagrant provider. As a complete development environment for building and testing containers within the context of a virtual machine. This allows you to build a complete production-like container deployment environment with the Vagrant provisioner. In this example, we'll take a look at how we can use the Vagrant provider to build and run a web server. Running our web server with Docker will allow us to build and test our web application without the added overhead of booting and provisioning a virtual machine.

Learning Random Forest Using Mahout

In this article by Ashish Gupta , author of the book Learning Apache Mahout Classification , we will learn about Random forest, which is one of the most popular techniques in classification. It starts with a machine learning technique called decision tree . In this article, we will explore the following topics: Decision tree Random forest Using Mahout for Random forest

Prototyping Arduino Projects using Python

 In this article by Pratik Desai , the author of Python Programming for Arduino , we will cover the following topics: Working with pyFirmata methods Servomotor – moving the motor to a certain angle The Button() widget – interfacing GUI with Arduino and LEDs

Working with VMware Infrastructure

In this article by Daniel Langenhan , the author of VMware vRealize Orchestrator Cookbook , we will take a closer look at how Orchestrator interacts with vCenter Server and vRealize Automation (vRA—formerly known as vCloud Automation Center, vCAC). vRA uses Orchestrator to access and automate infrastructure using Orchestrator plugins. We will take a look at how to make Orchestrator workflows available to vRA. We will investigate the following recipes: Unmounting all the CD-ROMs of all VMs in a cluster Provisioning a VM from a template An approval process for VM provisioning

KnockoutJS Templates

 In this article by Jorge Ferrando , author of the book KnockoutJS Essentials , we are going talk about how to design our templates with the native engine and then we will speak about mechanisms and external libraries we can use to improve the Knockout template engine. When our code begins to grow, it's necessary to split it in several parts to keep it maintainable. When we split JavaScript code, we are talking about modules, classes, function, libraries, and so on. When we talk about HTML, we call these parts templates. KnockoutJS has a native template engine that we can use to manage our HTML. It is very simple, but also has a big inconvenience: templates, it should be loaded in the current HTML page. This is not a problem if our app is small, but it could be a problem if our application begins to need more and more templates.

Writing Consumers

 This article by Nishant Garg , the author of the book Learning Apache Kafka Second Edition , focuses on the details of Writing Consumers. Consumers are the applications that consume the messages published by Kafka producers and process the data extracted from them. Like producers, consumers can also be different in nature, such as applications doing real-time or near real-time analysis, applications with NoSQL or data warehousing solutions, backend services, consumers for Hadoop, or other subscriber-based solutions. These consumers can also be implemented in different languages such as Java, C, and Python.

Material nodes in Cycles

 In this article by Enrico Valenza , author of the book Blender Cycles: Materials and Textures Cookbook Third Edition , we will see how a Cycles material is basically made up of distinct components named shaders . They can be combined to build even more complex surface or volume shaders. In this article, we'll have a look at the basic, necessary steps required to build a basic surface Cycles material, to activate the rendered preview in the 3D window, and to finally render a simple scene.

AngularJS Performance

In this article by Chandermani , the author of AngularJS by Example , we focus our discussion on the performance aspect of AngularJS. For most scenarios, we can all agree that AngularJS is insanely fast. For standard size views, we rarely see any performance bottlenecks. But many views start small and then grow over time. And sometimes the requirement dictates we build large pages/views with a sizable amount of HTML and data. In such a case, there are things that we need to keep in mind to provide an optimal user experience. Take any framework and the performance discussion on the framework always requires one to understand the internal working of the framework. When it comes to Angular, we need to understand how Angular detects model changes. What are watches? What is a digest cycle? What roles do scope objects play? Without a conceptual understanding of these subjects, any performance guidance is merely a checklist that we follow without understanding the why part. Let's look at some pointers before we begin our discussion on performance of AngularJS: The live binding between the view elements and model data is set up using watches . When a model changes, one or many watches linked to the model are triggered. Angular's view binding infrastructure uses these watches to synchronize the view with the updated model value. Model change detection only happens when a digest cycle is triggered. Angular does not track model changes in real time ; instead, on every digest cycle, it runs through every watch to compare the previous and new values of the model to detect changes. A digest cycle is triggered when $scope.$apply is invoked. A number of directives and services internally invoke $scope.$apply : Directives such as ng-click , ng-mouse* do it on user action Services such as $http and $resource do it when a response is received from server $timeout or $interval call $scope.$apply when they lapse A digest cycle tracks the old value of the watched expression and compares it with the new value to detect if the model has changed. Simply put, the digest cycle is a workflow used to detect model changes. A digest cycle runs multiple times till the model data is stable and no watch is triggered. Once you have a clear understanding of the digest cycle, watches, and scopes, we can look at some performance guidelines that can help us manage views as they start to grow.

Getting Twitter data

In this article by Paulo A Pereira , the author of Elixir Cookbook , we will build an application that will query the Twitter timeline for a given word and will display any new tweet with that keyword in real time. We will be using an Elixir twitter client extwitter as well as an Erlang application to deal with OAuth. We will wrap all in a phoenix web application.

Your first FuelPHP application in 7 easy steps

In this article by Sébastien Drouyer , author of the book FuelPHP Application Development Blueprints we will see that FuelPHP is an open source PHP framework using the latest technologies. Its large community regularly creates and improves packages and extensions, and the framework’s core is constantly evolving. As a result, FuelPHP is a very complete solution for developing web applications.

Python functions – Avoid repeating code

In this article by Silas Toms , author of the book ArcPy and ArcGIS – Geospatial Analysis with Python we will see how programming languages share a concept that has aided programmers for decades: functions. The idea of a function, loosely speaking, is to create blocks of code that will perform an action on a piece of data, transforming it as required by the programmer and returning the transformed data back to the main body of code. Functions are used because they solve many different needs within programming. Functions reduce the need to write repetitive code, which in turn reduces the time needed to create a script. They can be used to create ranges of numbers (the range() function), or to determine the maximum value of a list (the max function), or to create a SQL statement to select a set of rows from a feature class. They can even be copied and used in another script or included as part of a module that can be imported into scripts. Function reuse has the added bonus of making programming more useful and less of a chore. When a scripter starts writing functions, it is a major step towards making programming part of a GIS workflow.

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