Linux Journal Contents #76, August 2000
Linux Journal Issue #76/August 2000
Focus
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From the Editor
by Editorial Staff
Features
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LinuxPPC on the Macintosh PowerBook
by Richard Kinne
Linux goes Mac portable...
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Yellow Dog Linux on the iMac
by Stew Benedict
A guide to installing and running YDL on a power PC.
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Linux Finance Programs Review
by Ralph Krause
Forum
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Writing a Java Class to Manage RPM Package Content
by Jean-Yves Mengant
A look inside RPM packages and how to use Java to extract information.
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The Artists' Guide to the Desktop—Part IV
by Michael J. Hammel
Variety is the spice of life.
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Comparing Java Implementations for Linux
by Michael Hirsch
No hype here—find out what Java really is and what choices you have with Java for Linux.
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Configuring Bash
by David Blackman
A quick introduction to the Bash shell.
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VARs: Increasing Margins Through Free Software
by Dean Taylor
The Internet has shifted the power of presence, acquisition and is in the beginnings of shifting the power of commerce. Many Value Added Resellers (VARs) have recognized this shift and have been able to change with the new economy.
Reviews
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EasyLinux v1.2
by Pedro Bueno
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PCI Symphony Network Cards
by Denny Fox
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ImageStream IS Gateway and Rebel Routers
by Jon Valesh
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FreeNetshop
by Kevin Lyons
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Linux and The Linksys EtherFast Instant GigaDrive
by Billy Ball
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WordPerfect Office 2000 Deluxe
by Jon Valesh
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Caldera OpenLinux eDesktop 2.4
by Jon Valesh
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Open Source Linux: Web Programming
by Daniel Lazenby
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Building Database Applications on the Web Using PHP3
by Gaelyne R. Gasson
Columns
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Linux Apprentice: A Heterogeneous Linux/Windows 95 Home Network
Here's how to network your Windows machines to your Linux server.
by Chirakkal Easwaran
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Take Command : klogd: The Kernel Logging Dæmon
by Michael A. Schwarz
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Kernel Korner kHTTPd, a Kernel-Based Web Server
by Moshe Bar
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Linley on Linux Linux on Wheels: A New Opportunity
Within five years, almost every car will have a powerful computer that
provides a variety of services. Linux is a contender to win a large
share of this market.
by Linley Gwennap
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Cooking with Linux Organizing your $HOME
by Marcel Gagné
Organize your $HOME directory.
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At the Forge Session Management with Mason
by Reuven M. Lerner
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Focus on Software
by David A. Bandel
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Embedded Systems News
by Rick Lehrbaum
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The Last Word
by Stan Kelly-Bootle
Departments
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upFRONT
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Penguin's Progress: Do manufacturers have any responsibility?
by Peter H. Salus
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Linux for Suits The Shrinking Subject
by Doc Searls
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Best of Technical Support
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New Products
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6
Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.
Learn more about catching the bad guy in this free white paper.
Sponsored by DLT Solutions
| Designing Electronics with Linux | May 22, 2013 |
| Dynamic DNS—an Object Lesson in Problem Solving | May 21, 2013 |
| Using Salt Stack and Vagrant for Drupal Development | May 20, 2013 |
| Making Linux and Android Get Along (It's Not as Hard as It Sounds) | May 16, 2013 |
| Drupal Is a Framework: Why Everyone Needs to Understand This | May 15, 2013 |
| Home, My Backup Data Center | May 13, 2013 |
- New Products
- Linux Systems Administrator
- Senior Perl Developer
- Technical Support Rep
- UX Designer
- Web & UI Developer (JavaScript & j Query)
- Designing Electronics with Linux
- Dynamic DNS—an Object Lesson in Problem Solving
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- Using Salt Stack and Vagrant for Drupal Development
Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi

It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
Featured Jobs
| Linux Systems Administrator | Houston and Austin, Texas | Host Gator |
| Senior Perl Developer | Austin, Texas | Host Gator |
| Technical Support Rep | Houston and Austin, Texas | Host Gator |
| UX Designer | Austin, Texas | Host Gator |
| Web & UI Developer (JavaScript & j Query) | Austin, Texas | Host Gator |
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?




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