New Projects - Fresh from the Labs
People interested in sharpening their mental faculties in an environment that is genuinely challenging would do well to give this a go. According to gbrainy's Web site:
gbrainy is a brain-teaser game and trainer to have fun and to keep your brain trained. It provides the following types of games:
Logic puzzles: games designed to challenge your reasoning and thinking skills.
Mental calculation: games based on arithmetical operations designed to prove your mental calculation skills.
Memory trainers: games designed to challenge your short-term memory.
Verbal analogies: games that challenge your verbal aptitude.
gbrainy provides different difficulty levels, making gbrainy enjoyable for kids, adults or senior citizens. It also features player's game history, player's personal records, tips for the player, or fullscreen mode. gbrainy also can be extended easily with new games developed by third parties.
For those chasing binaries, packages are available for Debian, Ubuntu, Fedora, SUSE, Mandriva, One Laptop Per Child and NetBSD. Also available is the obligatory source tarball, and for those who want to run the bleeding-edge version, you can grab it using git. I won't be covering how to run git here, but nevertheless, I will incorporate git users into a line of my instructions. As usual, I'm going with the source tarball.
Here are the library requirements, according to the gbrainy Web site:
intltool 0.35 or higher.
Mono 1.1.7 or higher.
GTK and GTK Sharp 2.8 or higher.
librsvg 2.2 or higher.
Cairo 1.2 or higher.
Mono.Addins 0.3 or higher.
And, also according to the Web site, for a standard Ubuntu installation, the packages required for compiling gbrainy are intltool, mono-gmcs, mono-devel, libmono-dev, libgnome2-dev, libgnomeui-dev and libmono-cairo2.0-cil.
Download the latest tarball, extract it, and open a terminal in the new folder. If you've downloaded the development git version, before carrying on, enter:
For everyone else, simply enter:
If your distro uses sudo:
$ sudo make install
If your distro doesn't use sudo:
$ su # make install
Note that compilation doesn't seem to require the use of make. Once the installation is finished, run the program with the command:
Once you're inside, using gbrainy is pretty straightforward. The GUI layout and design are excellent, along with many other functions, such as text input, difficulty settings and so on. gbrainy even has a special setting to adjust for the color blind. Starting out in gbrainy is obvious. There are buttons for testing the following subjects: Logic, Calculation, Memory, Verbal or All (for taking every subject at once).
As each test starts, bear in mind that most questions aren't in the realm of “mildly taxing”. Even on the default medium setting, most of these questions are quite tricky. It quickly will become apparent which subjects you have a knack for and which you'll struggle with.
Logic uses puzzles, such as number and block sequences, grid layouts and so on, generally for guessing the next number or arrangement in a sequence.
Calculation typically has you guessing for the closest number to something, using very thought-intensive divisions, multiplications, averages and so on, that seem to move beyond basic arithmetic skills.
Memory introduces a time factor, so pay close attention. Things such as a series of directions, a grid containing different objects or words spelling out colors that are actually colored with something different (such as the word yellow colored blue) are shown on-screen for a very short amount of time, and you'll be asked about an individual element that's usually pretty hard to recall.
And finally, there's Verbal, which plays games like finding the odd word out, identifying the word most suitable for a given situation, choosing what word can be used in relation to a certain word pairing and so on.
Thankfully, the text input is very dynamic in that the developers have thought ahead about what possible combinations people may enter, so chances are if you enter something in a different case or some other kind of textual variation, the input accepts it or instructs you as to how to answer the question.
All in all, this is a very challenging package. I wouldn't be surprised if it becomes a mainstay of educational distros, but hopefully, it catches on in standard distributions as well.
John Knight is the New Projects columnist for Linux Journal.
|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|
|Non-Linux FOSS: Seashore||May 10, 2013|
- 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
- Drupal Is a Framework: Why Everyone Needs to Understand This
- Validate an E-Mail Address with PHP, the Right Way
- A Topic for Discussion - Open Source Feature-Richness?
- Download the Free Red Hat White Paper "Using an Open Source Framework to Catch the Bad Guy"
- The Secret Password Is...
- New Products
3 hours 25 min ago
- Keeping track of IP address
5 hours 16 min ago
- Roll your own dynamic dns
10 hours 30 min ago
- Please correct the URL for Salt Stack's web site
13 hours 41 min ago
- Android is Linux -- why no better inter-operation
15 hours 56 min ago
- Connecting Android device to desktop Linux via USB
16 hours 25 min ago
- Find new cell phone and tablet pc
17 hours 23 min ago
18 hours 52 min ago
- Automatically updating Guest Additions
20 hours 50 sec ago
- I like your topic on android
20 hours 47 min ago
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?