Linux Journal Contents #6, October 1994
Linux Journal Issue #6/October 1994
Features
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Messages—A Multi-Media Mailer
by Terry Gliedt
Sent talking pictures to your friends and family
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Mobile Computing with Linux
by Marc E. Fiuczynski
An introduction to “nomadic computing” with Linux.
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Learning C++ With Linux
by Jeff Tranter
Resources for learning C++ under Linux.
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The Joy (and Agony) of SLIP
by Warren Baird
One way to connect to the Internet.
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Tutorial: Emacs for Programmers
by Matt Welsh
GNU Emacs as a complete development environment
News & Articles
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Selecting a Linux CD
by Phil Hughes
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Report from the Front: The Linux Review Group
by Magnus Y. Alvestad
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Linux Journal Demographics
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Kernel 1.2 Code Freeze Announced
by Linus Torvalds
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Harbor
by Michael K. Johnson
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Linux Events
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Cooking With Linux
by Matt Welsh
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Linux Programming Hints
by Michael K. Johnson
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What's GNU Texinfo
by Arnold Robbins
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Overview of the Debian GNU/Linux System
by Ian Murdock
Reviews
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Product Review Motif 1.2.3 Runtime and Development System
by Dale A. Lutz
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Product Review Unix Interactive Tools
by Clarence Smith, Jr.
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Product Review Crisp Text Editor
by Robert Broughton
Columns
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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| 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
- Using Salt Stack and Vagrant for Drupal Development
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
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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!
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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