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Exchange Management Shell Common Tasks

In this article by Jonas Andersson , Nuno Mota , Michael Pfeiffer , the author of the book Microsoft Exchange Server 2016 PowerShell Cookbook , they will cover: Manually configuring remote PowerShell connections Using explicit credentials with PowerShell cmdlets

What makes Hadoop so revolutionary?

In this article by Sourav Gulati and Sumit Kumar authors of book Apache Spark 2.x for Java Developers , explain in classical sense if we are to talk of Hadoop, then it comprises of two components a storage layer called HDFS and a processing layer called MapReduce. The resource management task prior to Hadoop 2.X was done using MapReduce Framework of Hadoop itself, however that changed with the introduction of YARN. In Hadoop 2.0 YARN was introduced as the third component of Hadoop to manage the resources of Hadoop Cluster and make it more Map Reduce agnostic.

Your First Swift Program

 In this article, by  Keith Moon author of the book  Swift 4 Programming Cookbook , we will learn how to write your first swift program.

Introduction to WordPress Plugin

In this article,  Yannick Lefebvre , author of Wordpress Plugin Development Cookbook , Second Edition ,  we will cover the following recipes: Creating a new shortcode with parameters Managing multiple sets of user settings from a single admin page

K Nearest Neighbors

 In this article by Gavin Hackeling , author of book Mastering Machine Learning with scikit-learn - Second Edition , we will start with K Nearest Neighbors ( KNN ) which is a simple model for regression and classification tasks. It is so simple that its name describes most of its learning algorithm. The titular neighbors are representations of training instances in a metric space . A metric space is a feature space in which the distances between all members of a set are defined. In the previous chapter’s pizza problem, our training instances were represented in a metric space because the distances between all of the pizza diameters is defined. These neighbors are used to estimate the value of the response variable for a test instance. The hyperparameter k  specifies how many neighbors can be used in the estimation. A hyperparameter is a parameter that controls how the algorithm learns; hyperparameters are not estimated from the training data and are sometimes set manually. Finally, the k neighbors that are selected are those that are nearest to the test instance, as measured by some distance function.

Decision Trees

In this article by David Toth , the author of the book Data Science Algorithms in a Week , we will cover the following topics: Concepts Analysis

Consuming Diagnostic Analyzers in .NET projects

We know how to write diagnostic analyzers to analyze and report issues about .NET source code and contribute them to the .NET developer community. In this article by the author Manish Vasani , of the book  Roslyn Cookbook, we will show you how to search, install, view and configure the analyzers that have already been published by various analyzer authors on NuGet and VS Extension gallery. We will cover the following recipes:

Enhancing Your Blog with Advanced Features

In this article by Antonio Melé , the author of the Django by Example book shows how to use the Django forms, and ModelForms. You will let your users share posts by e-mail, and you will be able to extend your blog application with a comment system. You will also learn how to integrate third-party applications into your project, and build complex QuerySets to get useful information from your models. In this article, you will learn how to add tagging functionality using a third-party application.

Apache Camel: Transformation

This article by Scott Cranton and Jakub Korab , the authors of Apache Camel Developer's Cookbook , introduces various ways in which Camel allows us to transform or convert between and manipulate common message formats such as Java objects, XML, and JSON. The following ways are discussed in this article: Transforming using a Simple Expression Transforming inline with XQuery Transforming with XSLT Transforming from Java to XML with JAXB Transforming from Java to JSON Transforming from XML to JSON

Expert Python Programming: Interfaces

This article by, Michał Jaworski and Tarek Ziadé , the authors of the book, Expert Python Programming - Second Edition , will mainly focus on interfaces.

Learning JavaScript Data Structures: Arrays

In this article by Loiane Groner , author of the book Learning JavaScript Data Structures and Algorithms, Second Edition , we will learn about arrays. An array is the simplest memory data structure. For this reason, all programming languages have a built-in array datatype. JavaScript also supports arrays natively, even though its first version was released without array support. In this article, we will dive into the array data structure and its capabilities. An array stores values sequentially that are all of the same datatype. Although JavaScript allows us to create arrays with values from different datatypes, we will follow best practices and assume that we cannot do this(most languages do not have this capability). (For more resources related to this topic, see here .)

Cassandra High Availability: Replication

This article by Robbie Strickland , the author of Cassandra High Availability , describes the data replication architecture used in Cassandra. Replication is perhaps the most critical feature of a distributed data store, as it would otherwise be impossible to make any sort of availability guarantee in the face of a node failure. As you already know, Cassandra employs a sophisticated replication system that allows fine-grained control over replica placement and consistency guarantees. In this article, we'll explore Cassandra's replication mechanism in depth. Let's start with the basics: how Cassandra determines the number of replicas to be created and where to locate them in the cluster. We'll begin the discussion with a feature that you'll encounter the very first time you create a keyspace: the replication factor. (For more resources related to this topic, see here .)

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