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Understanding Microservices

This article by Tarek Ziadé , author of the book Python Microservices Development explains the benefits and implementation of microservices with Python. While the microservices architecture looks more complicated than its monolithic counterpart, its advantages are multiple. It offers the following benefits.

Windows Drive Acquisition

In this article, by Oleg Skulkin   and Scar de Courcier , authors of  Windows Forensics Cookbook , we   will cover drive acquisition in E01 format with FTK Imager, drive acquisition in RAW Format with DC3DD, and mounting forensic images with Arsenal Image Mounter.

Up and Running with pandas

In this article by Michael Heydt , author of the book  Learning Pandas - Second Edition , we will cover how to install pandas and start using its basic functionality.  The content is provided as IPython and Jupyter notebooks, and hence we will also take a quick look at using both of those tools. We will utilize the Anaconda Scientific Python distribution from Continuum. Anaconda is a popular Python distribution with both free and paid components. Anaconda provides cross-platform support—including Windows, Mac, and Linux. The base distribution of Anaconda installs pandas, IPython and Jupyter notebooks, thereby making it almost trivial to get started.

Chart Model and Draggable and Droppable Directives

In this article by  Sudheer Jonna  and  Oleg Varaksin , the author of the book  Learning Angular UI Development with PrimeNG , we will see how to work with the chart model and learn about draggable and droppable directives.

Exposure to RxJava

In this article by  Thomas Nield , the author of the book  Learning RxJava , we will cover a quick exposure to RxJava, which is a Java VM implementation of ReactiveX (Reactive Extensions): a library for composing asynchronous and event-based programs by using observable sequences.

Parallelize It

In this article by Elliot Forbes , the author of the book  Learning Concurrency in Python , will explain concurrency and parallelism thoroughly, and bring necessary CPU knowledge related to it. Concurrency and parallelism are two concepts that are commonly confused. The reality though is that they are quite different and if you designed software to be concurrent when instead you needed parallel execution then you could be seriously impacting your software’s true performance potential. Due to this, it's vital to know exactly what the two concepts mean so that you can understand the differences. Through knowing these differences you’ll be putting yourself at a distinct advantage when it comes to designing your own high performance software in Python. In this article we’ll be covering the following topics: What is concurrency and what are the major bottlenecks that impact our applications? What is parallelism and how does this differ from concurrency?

Ruby Strings

In this article by Jordan Hudgens , the author of the book Comprehensive Ruby Programming , you'll learn about the Ruby String data type and walk through how to integrate string data into a Ruby program. Working with words, sentences, and paragraphs are common requirements in many applications. Additionally you learn how to: Employ string manipulation techniques using core Ruby methods Demonstrate how to work with the string data type in Ruby

Optimizing Hadoop

In this article by Gurmukh Singh , the author of the book  Hadoop Administration 2.x Cookbook , we will cover the some Hadoop concepts throughout this article.

Initial Configuration of SCO 2016

In this article by  Michael Seidl , author of the book  Microsoft System Center 2016 Orchestrator Cookbook - Second Edition , will show you how to setup Orchestrator Environment and how to deploy and configure Orchestrator Integration Packs.

Introduction to HoloLens

In this article, Abhijit Jana , Manish Sharma , and Mallikarjuna Rao , the authors of the book, HoloLens Blueprints , we will be covering the following points to introduce you to using HoloLens for exploratory data analysis. Digital Reality - Under the Hood Holograms in reality Sketching the scenarios 3D Modeling workflow Adding Air Tap on speaker Real-time visualization through HoloLens

Object-Oriented Scala

In this article by  Md. Rezaul Karim   and  Sridhar Alla , author of  Scala and Spark for Big Data Analytics , we will discuss the basic object-oriented features in Scala. In a nutshell, the following topics will be covered in this article: Variables in Scala

HPC Cluster Computing

In this article by,  Raja Malleswara Rao Pattamsetti , the author of the book Distributed Computing in Java 9 , the author is going to look into the processing capabilities for organizational applications are more than a chronological computer configuration that can be addressed to an extent by increasing the processor capacity and other resource allocation. While this can alleviate the performance for a while, the future computational requirements are restricted for adding more powerful computational processors and cost incurred in producing such powerful systems. Also, there is a need to produce efficient algorithms and practices to produce the best result out of it. A practical and economic substitute for these single high-power computers is to establish multiple low-power capacity processors that work collectively and organize their processing capabilities, which results in a powerful system, that is, parallel computers that permit the processing activities to be distributed among multiple low-capacity computers and together obtain the best expected result.   In this article, we will cover the following topics: Era of Computing Commanding Parallel System Architectures MPP: Massively Parallel Processors SMP: Symmetric Multiprocessors CC-NUMA: Cache Coherent Nonuniform Memory Access Distributed Systems Clusters Java support for High-Performance Computing

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