Linux Journal Contents #35, March 1997
Linux Journal Issue #35/March 1997
Features
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Creating and Using a Database with Perl
by Randy Scott
There are a variety of different database formats in a UNIX environment available to the Perl programmer.
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Perl and Sockets
by Mike Mull
Learn about Perl's ability to use sockets, a mechanism of interprocess communication and the basis for most Internet clients and servers.
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Wherefore Art, Thou?
by Larry Wall
The discourse on the art of Perl programming, originally printed in The Perl Journal .
News & Articles
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AMD—AutoMount Daemon
by Matthew Crosby
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Using the 12C Bus with Linux
by Simon G. Vogl
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The Death of Xenix
by Evan Leibovitch
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The Guide to Virtual Services
by Chad Robinson
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NEdit
by Dan Wilder
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Setting Up UUCP
by James L Hill
Reviews
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Product Review Metro-X and Accelerated-X
by Jonathan Gross
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Book Review Programming Perl
by Phil Hughes
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Book Review Perl 5 by Example
by Sid Wentworth
WWWsmith
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Writing Man Pages in HTML
by Michael Hamilton
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A Point About Polygons
by Bob Stein
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At the Forge Using the httpd error log to debug CGI
by Reuven Lerner
Columns
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Letters to the Editor
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Linux Means Business
Linux Means Business for the City of Garden Grove, CA
by Pyng Chang and Charles Kalil
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New Products
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Linux Gazette
Using the TCSH Shell
by Jasper K Pedersen
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Best of Technical Support
by Gena Shurtleff
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.
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| 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 |
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- 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
- New Products
- A Topic for Discussion - Open Source Feature-Richness?
- Drupal Is a Framework: Why Everyone Needs to Understand This
- Validate an E-Mail Address with PHP, the Right Way
- RSS Feeds
- Readers' Choice Awards
- Tech Tip: Really Simple HTTP Server with Python
- DynDNS
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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!
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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