In this article by Andreas Niedermair , the author of the book Mastering ServiceStack , we will see the communication between asynchronous components. The recent release of .NET has added several new ways to further embrace asynchronous and parallel processing by introducing the Task Parallel Library ( TPL ) and async and await .
In this article by Cyrille Rossan t , coming from his book, Learning IPython for Interactive Computing and Data Visualization - Second Edition , we will see how to use IPython console, Jupyter Notebook, and we will go through the basics of Python.
This article is by Ganesh Naik , the author of the book Learning Linux Shell Scripting , published by Packt Publication (https://www.packtpub.com/networking-and-servers/learning-linux-shell-scripting). Whoever works with Linux will come across the Shell as first program to work with. The Graphical User Interface (GUI) usage has become very popular due to ease of use. Those who want to take advantage of the power of Linux will use the Shell program by default. Shell is a program, which gives the user direct interaction with the operating system. Let's understand the stages in the evolution of the Linux operating system. Linux was developed as a free and open source substitute for UNIX OS. The chronology can be as follows: The UNIX operating system was developed by Ken Thomson and Dennis Ritchie in 1969. It was released in 1970. They rewrote the UNIX using C language in 1972. In 1991, Linus Torvalds developed the Linux Kernel for the free operating system.
In this article by Cecil Costa , the author of Swift 2 Blueprints , we will cover the following: Project overview Setting it up The first scene Displaying cities information
The strange relationship between objects, functions, generators and coroutines by Dusty Phillips In this article, I’d like to investigate some relationships between functions, objects, generators and coroutines in Python. At a theoretical level, these are very different concepts, but because of Python’s dynamic nature, many of them can appear to be used interchangeably. I discuss useful applications of all of these in my book, Python 3 Object-oriented Programming - Second Edition . In this essay, we’ll examine their relationship in a more whimsical light; most of the code examples below are ridiculous and should not be attempted in a production setting!
In this article, by Timothy Washington , author of the book Clojure for Finance , we will cover the following topics: Modeling the stock price activity Function evaluation First-Class functions Lazy evaluation Basic Clojure functions and immutability Namespace modifications and creating our first function
In this article by Andrew Alloway , the author of VMware Horizon View High Availability , we will review strategies for providing High Availability for various types of VMware Horizon View desktop pools.
In this article by Joseph Howse , Quan Hua , Steven Puttemans , and Utkarsh Sinha , the authors of OpenCV Blueprints , we delve into the aspect of fingerprint detection using OpenCV.
In this article by Chandan Dutta Chowdhury and Sriram Subramanian , authors of the book OpenStack Networking Cookbook , we will explore various means to monitor the network resource utilization using Ceilometer. We will cover the following topics: Virtual Machine bandwidth monitoring L3 bandwidth monitoring
In this article by Martin Czygan and Phuong Vothihong , the authors of the book Getting Started with Python Data Analysis , Data is raw information that can exist in any form, which is either usable or not. We can easily get data everywhere in our life; for example, the price of gold today is $ 1.158 per ounce. It does not have any meaning, except describing the gold price. This also shows that data is useful based on context.
In this article by Vishal Shukla , author of the book Elasticsearch for Hadoop , we will take a look at how ES-Hadoop can integrate with Pig and Spark with ease. Elasticsearch is great in getting insights into the indexed data. The Hadoop ecosystem does a great job in making Hadoop easily usable for different users by providing a comfortable interface. Some of the examples are Hive and Pig. Apart from these, Hadoop integrates well with other computing engines and platforms, such as Spark and Cascading.