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Big Data

 In this article by Henry Garner , author of the book Clojure for Data Science , we'll be working with a relatively modest dataset of only 100,000 records. This isn't big data (at 100 MB, it will fit comfortably in the memory of one machine), but it's large enough to demonstrate the common techniques of large-scale data processing. Using Hadoop (the popular framework for distributed computation) as its case study, this article will focus on how to scale algorithms to very large volumes of data through parallelism. Before we get to Hadoop and distributed data processing though, we'll see how some of the same principles that enable Hadoop to be effective at a very large scale can also be applied to data processing on a single machine, by taking advantage of the parallel capacity available in all modern computers.

Walking You Through Classes

 In this article by Narayan Prusty , author of Learning ECMAScript 6 , you will learn how ES6 introduces classes that provide a much simpler and clearer syntax to creating constructors and dealing with inheritance. JavaScript never had the concept of classes, although it's an object-oriented programming language. Programmers from the other programming language background often found it difficult to understand JavaScript's object-oriented model and inheritance due to lack of classes. In this article, we will learn about the object-oriented JavaScript using the ES6 classes: Creating objects the classical way What are classes in ES6 Creating objects using classes The inheritance in classes The features of classes

Meeting SAP Lumira

In this article by Dmitry Anoshin , author of the book SAP Lumira Essentials , Dmitry talks about living in a century of information technology. There are a lot of electronic devices around us which generate lots of data. For example, you can surf the Internet, visit a couple of news portals, order new Nike Air Max shoes from a web store, write a couple of messages to your friend, and chat on Facebook. Your every action produces data. We can multiply that action by the amount of people who have access to the internet or just use a cell phone, and we get really BIG DATA. Of course, you have a question: how big is it? Now, it starts from terabytes or even petabytes . The volume is not the only issue; moreover, we struggle with the variety of data. As a result, it is not enough to analyze only the structured data. We should dive deep in to unstructured data, such as machine data which are generated by various machines.

From Code to the Real World

 In this article by Jorge R. Castro , author of Building a Home Security System with Arduino , you will learn to read a technical specification sheet, the ports on the Uno and how they work, the necessary elements for a proof of concept . Finally, we will extend the capabilities of our script in Python and rely on NFC technology. We will cover the following points: ProtoBoards and wiring Signals (digital and analog) Ports Datasheets

Tappy Defender – Building the home screen

In this article by John Horton , the author of Android Game Programming by Example , we will look at developing the home screen UI for our game.

Starting with YARN Basics

 In this article by Akhil Arora and Shrey Mehrotra , authors of the book Learning YARN , we will be discussing how Hadoop was developed as a solution to handle big data in a cost effective and easiest way possible. Hadoop consisted of a storage layer, that is, Hadoop Distributed File System ( HDFS ) and the MapReduce framework for managing resource utilization and job execution on a cluster. With the ability to deliver high performance parallel data analysis and to work with commodity hardware, Hadoop is used for big data analysis and batch processing of historical data through MapReduce programming.

Connecting to Open Ports

 Miroslav Vitula , the author of the book Learning zANTI2 for Android Pentesting , penned this article on Connecting to Open Ports , focusing on cracking passwords and setting up a remote desktop connection. Let's delve into the topics.

How It All Fits Together

 In this article by Jonathan Hayward author of the book Reactive Programming with JavaScript  he explains that Google Maps were a big hit when it came out, and it remains quite important, but the new functionality it introduced was pretty much nothing. The contribution Google made with its maps site was taking things previously only available with a steep learning cliff and giving them its easy trademark simplicity. And that was quite a lot.

Building a "Click-to-Go" Robot

 In this article by Özen Özkaya and Giray Yıllıkçı , author of the book Arduino Computer Vision Programming , you will learn how to approach computer vision applications, how to divide an application development process into basic steps, how to realize these design steps and how to combine a vision system with the Arduino. Now it is time to connect all the pieces into one! In this article you will learn about building a vision-assisted robot which can go to any point you want within the boundaries of the camera's sight. In this scenario there will be a camera attached to the ceiling and, once you get the video stream from the robot and click on any place in the view, the robot will go there. This application will give you an all-in-one development application.

Creating test suites, specs and expectations in Jest

In this article by Artemij Fedosejev , the author of React.js Essentials , we will take a look at test suites, specs, and expectations.

Installing/upgrading PowerShell

In this article written by Michael Shepard , author of the book Getting Started with PowerShell , the author goes on to explain that if you don't have PowerShell installed or want a more recent version of PowerShell, you'll need to find the Windows Management Framework ( WMF ) download that matches the PowerShell version you want. WMF includes PowerShell as well as other related tools such as Windows Remoting ( WinRM ), Windows Management Instrumentation ( WMI ), and Desired State Configuration ( DSC ). The contents of the distribution change from version to version, so make sure to read the release notes included in the download

Asynchronous Programming with Python

 In this article by Giancarlo Zaccone , the author of the book Python Parallel Programming Cookbook , we will cover the following topics: Introducing Asyncio GPU programming with Python Introducing PyCUDA Introducing PyOpenCL

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