Get Free Ebook Mind games : the guide to inner spaceBy Robert E. L. Masters, Jean Houston

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Mind games : the guide to inner spaceBy Robert E. L. Masters, Jean Houston

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• Sales Rank: #7295364 in Books
• Published on: 1989-01-01
• Binding: Hardcover

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Ebook Download Scarlatti Masterpieces for Solo Piano: 47 Works (Dover Music for Piano)By Domenico Scarlatti

Ebook Download Scarlatti Masterpieces for Solo Piano: 47 Works (Dover Music for Piano)By Domenico Scarlatti

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Scarlatti Masterpieces for Solo Piano: 47 Works (Dover Music for Piano)By Domenico Scarlatti

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Born in the same year as Johann Sebastian Bach, Domenico Scarlatti strongly influenced subsequent trends in keyboard music through his uniquely elegant, embellished, fleet virtuoso style. This new compilation of popular selections by the great master presents favorites drawn from his more than 500 miniature sonatas.
All of Scarlatti's familiar and best-loved masterpieces — well-known worldwide from piano recitals and CDs — appear here: tarantellas, Siciliennes, pastorals, and sparkling high-speed keyboard toccatas of the greatest ingenuity.
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• Sales Rank: #1419591 in eBooks
• Published on: 2013-01-23
• Released on: 2013-01-23
• Format: Kindle eBook

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Ebook Linux Cluster Architecture

Ebook Linux Cluster Architecture

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Linux Cluster Architecture

Ebook Linux Cluster Architecture

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From the Back Cover

Cluster computers provide a low-cost alternative to multiprocessor systems for many applications. Building a cluster computer is within the reach of any computer user with solid C programming skills and a knowledge of operating systems, hardware, and networking. This book leads you through the design and assembly of such a system, and shows you how to mearsure and tune its overall performance. A cluster computer is a multicomputer, a network of node computers running distributed software that makes them work together as a team. Distributed software turns a collection of networked computers into a distributed system. It presents the user with a single-system image and gives the system its personality. Software can turn a network of computers into a transaction processor, a supercomputer, or even a novel design of your own. Some of the techniques used in this book's distributed algorithms might be new to many readers, so several of the chapters are dedicated to such topics. You will learn about the hardware needed to network several PCs, the operating system files that need to be changed to support that network, and the multitasking and the interprocess communications skills needed to put the network to good use. Finally, there is a simple distributed transaction processing application in the book. Readers can experiment with it, customize it, or use it as a basis for something completely different.

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About the Author

Alex Vrenios is the founder and principal analyst at the Distributed Systems Research Lab, a technical consulting group specializing in the performance measurement and analysis of distributed computing architectures. He holds a BS and MS in Computer Science, is the author of numerous articles, and is a member of both the ACM and the IEEE. He started his computing career more than 30 years ago, working with communications and data transmission software on mainframe computers. He made the transition to a networked C/UNIX environment, learned about interprocess communications distributed algorithms and cluster computing, and never looked back.

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Product details

Paperback: 264 pages

Publisher: Sams Publishing; 1 edition (June 28, 2002)

Language: English

ISBN-10: 0672323680

ISBN-13: 978-0672323683

Product Dimensions:

7.3 x 0.7 x 9 inches

Shipping Weight: 15.5 ounces

Average Customer Review:

3.9 out of 5 stars

7 customer reviews

Amazon Best Sellers Rank:

#4,012,571 in Books (See Top 100 in Books)

I am reading some books in order to set up a Linux Cluster.And I found this book, by far, the best. Maybe, because in this field I am a beginner.

My book DOES contain information that every sysadmin knows, and it ALSO contains information that every C programmer knows. My POINT in including this material is that a sysadmin doesn't know much about C; nor does a C programmer know much about networking; I included both so that both types of readers can expand their knowledge enough to actually build a working cluster computer!I should also note that the older kernel was used to TEST the software. That means you can run it on a bunch of cheap computers, and not have to spend thousands of dollars on high performance processors. That old kernel is NOT a requirement, as some readers might believe.One final note: if you have a bunch of PCs on a network, that's ALL you've got. It's the software that makes them work together as a "team" of individual processors, toward some common goal. That's about the clearest definition of a "cluster" that I've come across.The (debugged) software described in my book is available from the Sams Publishing web site for free download. It works just fine on my current cluster running CentOS 4, which is the free OS version of Red Hat's Enterprise Linux 4. (That's just one generation ago. It's like running XP instead of Vista, like most of us do at home and at work.)There are some issues related to the (then) R-commands: rsh and rcp, for example are suggested as a test for network connectivity. Shortly after the book came out, Linux dropped these in favor of the secure S-commands, like ssh and scp. A few minutes of your time reading the latest MAN (help manual) pages should bring you up to date.

I found this book by shelf-shopping at MicroCenter in Dallas. My brother, who is a mechanical engineer, mentioned needing a cluster computer for his work. It was the first I'd ever heard about this sort of contraption, although I've been a hardware-hacker for years, and have played around with Slackware and RedHat since 1996."Linux Cluster Architecture" is an excellent place to start. It has a lot of basic hardware background, including a compelling argument for using the obsolete "digital doorstop" computers that clutter your guest room floor. (There's also a lot of C code in the book, which I skipped over, because I don't do programming.)Following successful hardware configuration on three junkers, I bought "The Red Hat Bible" and continued with the setup. The newest computer became the Master and the identical-twins became Nodes, using RedHat 9.That done, I gave the Homemade Cray and "Linux Cluster Architecture" to my brother, and he's using the book to learn about distributed loads. He is well-versed in C++ and in FORTRAN, and says that the programs are just what he needs to get started.

I've been dealing with Linux clustering for a while. I found the basic and difficult concepts are well explained and useful for newbies and more experienced. The book makes you want to read more with interesting, practical sample codes. The author is very knowledgeble and hits a nail right on the head.Although, some topics seem outdated, the underlying concepts holds through time. You're gonna enjoy tuning and adjusting it to fit your system environment. There is no abusolte solution for every system. As long as you understand what the book explains and many useful examples, you'll never get lost with lastest technologies and be equied with some solutions in mind. The rest is up to you to work on your cluster piece by piece. That's the beaty of clustering.I love the sections of Distributed Server Process in action, external performance measurement and analysis - estimating and displaying network utilization, inter-process commincation - messaging and more. I think most information in this book could not be found anywhere, even on the web.

This book shows how to assemble and configure several PCs into a network, how to configure Linux so each machine recognizes the others. It has example C programs showing how to do subtasking, and how these processes can communicate using shared memory, or sockets. The simple examples are expanded, showing how to set up a service that starts on a remote machine when I send a message to its registered port. There are details on how to send queries to the cluster server using different statistical distributions, and on how to monitor and display their response times. There is complete system-wide performance monitoring software, based on the /proc pseudo-file statistics. Each node machine is displayed on a separate monitor node that shows CPU and Memory use, disk and network I/O, etc.This book is complete: I don't have to install any third-party software like PVM or MPI. And I can customize the example system because I can download all the source code form the publisher's web site.

This is the first book I have found that actually tells you how to build up your cluster. Yes, it is technical. But it actually talks about everyman-hardware not just the high-end unobtainable. I came at this project from a power-user perspective in the *nix world. I can build up a Novell or MS network in a snap but some of the *nix topics are new to me, like shared memory across the network. When I built up my cluster I ran into a few problems. I contacted the published and within a couple of days Alex wrote back. Together we spent the next 3 weeks emailing back and forth. I would make a change, reinstall the OS, etc. Alex hung in there and helped me get everything running. That was a first for me, an author that actually cares.

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Ebook Practical Business Analytics Using SAS: A Hands-on GuideBy Shailendra Kadre, Venkat Reddy Konasani

Ebook Practical Business Analytics Using SAS: A Hands-on GuideBy Shailendra Kadre, Venkat Reddy Konasani

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Practical Business Analytics Using SAS: A Hands-on GuideBy Shailendra Kadre, Venkat Reddy Konasani

Ebook Practical Business Analytics Using SAS: A Hands-on GuideBy Shailendra Kadre, Venkat Reddy Konasani

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Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios.

The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors—both SAS, statistics, analytics, and big data experts—first show how SAS is used in business, and then how to get started programming in SAS by importing data and learning how to manipulate it. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need to improve business performance. Each chapter offers hands-on exercises drawn from real business situations.

The book then provides an overview of statistics, as well as instruction on exploring data, preparing it for analysis, and testing hypotheses. You will learn how to use SAS to perform analytics and model using both basic and advanced techniques like multiple regression, logistic regression, and time series analysis, among other topics. The book concludes with a chapter on analyzing big data. Illustrations from banking and other industries make the principles and methods come to life.

Readers will find just enough theory to understand the practical examples and case studies, which cover all industries. Written for a corporate IT and programming audience that wants to upgrade skills or enter the analytics field, this book includes:

• More than 200 examples and exercises, including code and datasets for practice.
• Relevant examples for all industries.
• Case studies that show how to use SAS analytics to identify opportunities, solve complicated problems, and chart a course.

Practical Business Analytics Using SAS: A Hands-on Guide gives you the tools you need to gain insight into the data at your fingertips, predict business conditions for better planning, and make excellent decisions. Whether you are in retail, finance, healthcare, manufacturing, government, or any other industry, this book will help your organization increase revenue, drive down costs, improve marketing, and satisfy customers better than ever before.

What you’ll learn

• Which are the most important tools for performing analytics
• How to program in SAS
• How to explore, validate, and clean data
• How to understand and use basic statistical methods and techniques
• How to forecast future value using SAS
• How to build predictive models
• Fundamentals of big data

Who this book is for

This book is for IT Professionals who want to become business or data analysts, predictive modelers, data scientists, social media analysts, big data analysts, or BI analysts. It's also for anyone who wants to break into data analytics or professionals who want to expand their skills.

Table of Contents

Part One: Basics of SAS Programming for Analytics

Chapter 01 Introduction to Business Analytics and Data Analysis Tools

Chapter 02: SAS Introduction

Chapter 03: SAS Handling Using SAS

Chapter 04 : Important SAS Functions and Procs

Part Two: Using SAS for Business Analytics

Chapter 05 Introduction to Statistical Analysis

Chapter 06 Basic Descriptive Statistics

Chapter 07 Data Exploration, Validation, and Data Sanitization

Chapter 08 Testing of Hypothesis

Chapter 09 Correlation and Linear Regression

Chapter 10 Multiple Regression Analysis

Chapter 11: Logistic Regression

Chapter 12: Time Series Analysis and Forecasting

Chapter 13: Introducing Big Data Analytics

• Sales Rank: #1231658 in Books
• Published on: 2015-01-29
• Released on: 2015-01-30
• Original language: English
• Number of items: 1
• Dimensions: 10.00" h x 1.31" w x 7.00" l, .0 pounds
• Binding: Paperback
• 580 pages

About the Author
Shailendra Kadre is a senior IT and management consultant from Bangalore, India. He is the author of a 2011 Apress book, Going Corporate: A Geek’s Guide, which covers IT operations management and the business aspects of IT. He has more than 20 years of experience in manufacturing, IT delivery and operations, program management, pre-sales, enterprise sales, and business analytics. Currently, he is working with Hewlett-Packard India as a solutions consultant. His current interests include business analytics and enterprise printing solutions.Shailendra earned his master’s degree in mechanical engineering from the Indian Institute of Technology (IIT), Delhi. He lives in Bangalore with his wife Meenakshi, daughter Neha, and son Vivek. He can be contacted at shailendrakadre@gmail.com.

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