Free vmware workstation tutorial software for linux

Derbrill Tutorials are Free Tutorials For Writing Games and Multimedia Applications in Runtime Revolution with ArcadeEngine.

The tutorials come in a visually appealing e-book format which is both easy to read and use, the range of topics covered includes:

* The basics of Revolution such as: stacks, cards, scripts, messages and timers
* How to use geometric properties such as distances, angles and intersection rectangles
* Understanding and using different movements including linear, polygonal, circular and elliptic
* Advanced use of images
* Using the built-in collision detection

KDE Simple Programming Tutorial is a tutorial for developing a KDE application.

With the only requirement of a little C++ knowledge, and using the latest KDE snapshots, the reader will learn how to build his/her first KDE application from a simple "Hello world" button to a Web browser with a DCOP interface that communicates with a bookmark application running in a separate process.

Theres also a spanish and a romanian version of the documentation.

Test::Unit::Tutorial is a Perl module that contains a tutorial on unit testing.

SYNOPSIS

perldoc Test::Unit::Tutorial

Here should be extensive documentation on what unit testing is, why it is useful, and how to do it with the Test::Unit collection of modules.

Sorry for not implementing this yet.

Please have a look at the examples in the examples directory and read the README file that came with this distribution.

A short tutorial on how to use the unit testing framework is included in Test::Unit::TestCase.

Further examples can be found by looking at the self test collection, starting in Test::Unit::tests::AllTests.

Array::Each::Tutorial - POD giving various examples how to use Array::Each.

SYNOPSIS

man Array::Each
man Array::Each::Tutorial

or

perldoc Array::Each
perldoc Array::Each::Tutorial

Overview

This tutorial contains only POD, so dont do this:

use Array::Each::Tutorial; # dont do this

Rather, simply read the POD (as you are doing). But first, please read the docs for Array::Each, because the whole scoop is there.

This tutorial is intended to augment those docs with examples showing situations where you might want to use Array::Each instead of other techniques.

EXAMPLES

Parallel Arrays vs. Using a Hash

First of all, use a hash. Its almost always the best solution if you want to associate a "key" with a "value". And there are modules available that will let you do wonderful things with hashes, like keeping the keys sorted or keeping them in the order they were added.

So given a hash, you might at some point want to do this:

my %h = ( a=>1, b=>2, c=>3, d=>4, e=>5 );
while( my( $k, $v ) = each %h ) {
# ... do something with $k and $v ...
}

On the other hand, if parallel arrays better implement your algorithm, then you may find you want to do something like this:

my @k = qw( a b c d e );
my @v = qw( 1 2 3 4 5 );
for my $i ( 0 .. $#k ) {
my( $k, $v ) = ( $k[$i], $v[$i] );
# ... do something with $k and $v (and maybe $i) ...
}

Using Array::Each, you could do the same thing this way:

use Array::Each;
my @k = qw( a b c d e );
my @v = qw( 1 2 3 4 5 );
my $obj = Array::Each->new( @k, @v );
while( my( $k, $v, $i ) = $obj->each ) {
# ... do something with $k and $v (and maybe $i) ...
}

If you dont need $i at all, you can leave it out, e.g.,

while( my( $k, $v ) = $obj->each ) {
# ... do something with $k and $v ...
}

If you have more than two parallel arrays, include them all in the call to new() and add as many "capture" variables as you need, e.g.,

my @k = qw( a b c d e );
my @v = qw( 1 2 3 4 5 );
my @p = qw( - + ~ = : );
my $obj = Array::Each->new( @k, @v, @p );
while( my( $k, $v, $p, $i ) = $obj->each ) {
# ... do something with $k, $v, and $p (and maybe $i) ...
}

Games::ScottAdams::Tutorial is a Perl module with the Scott Adams Adventure Compiler Tutorial.

INTRODUCTION

This document walks you through the process of creating a small but complete and playable game with six rooms, seven items including a single treasure, and a couple of puzzles.

It makes no attempt to be complete: you need the reference manual for that. But by the time youve worked your way through this tutorial you should be familiar with rooms, items, actions and occurrences, and youll be ready to start writing your own games.

JOpt.SDK library is a routing software for Java that uses specialized genetic algorithms to calculate an optimized allocation of orders and stops to mobile resources.
The algorithm not only provides tours at minimum costs but also considers an arbitrary set of constraints for each tour. You may define your own constraints and optimization goals in order to customize JOpt.SDK to your specific planning needs or you decide to use one of our best practices addons in order to achieve a fast application of our optimization algorithms to selected industries.
JOpt.SDK can solve nearly any problem that can be classified by one of the following types:
TSP - Traveling Salesman Problem. JOpt.SDK finds the shortest or fastest path for your mobile resources
VRPTW - Vehicle routing problem with time windows - like TSP but for a set of vehicles. JOpt.SDK finds an optimal allocation of orders and stops within a vehicle fleet. It may also consider different constraints for vehicles, drivers and stops.
JOpt.SDK functionality can be accessed via Java API and thus fits seamlessly into any JAVA application. Software developers may integrate the JOpt.SDK component into their application in order to offer their customers a consistent solution including optimization of mobile workforce schedules.
Enhancements:
- The tutorial has been revised to reflect some major API changes introduced since JOpt 2.0.0.

Test::LectroTest::Tutorial is a Perl module that contains documentation on how to use LectroTest to test your software.

SYNOPSIS

LectroTest is an automated, specification-based testing system. To use it, declare properties that specify the expected behavior of your software. Then invoke LectroTest to test whether those properties hold.

LectroTest does this by running repeated random trials against your software. If LectroTest finds that a property doesnt hold, it emits the counterexample that "broke" your software. You can then plug the counterexample into your software to debug the problem. (Its also a good idea to add the counterexample to your list of regression tests.)

Think of your softwares behavior as a haystack that youre searching for needles. Each error is a needle. You want to find the needles and remove of them. LectroTest will search the haystack for you -- its nice that way -- but first you must tell it about the shape of the haystack and how to recognize a needle when it sees one.

The Haystack

The shape of the haystack is defined by a set of "generator bindings," in which variables are bound to the output of value generators:

x = 0;

The above asserts for each point in the haystack that the output of the function the_thing_we_are_testing must be non-negative.

Put them together to make a Property

The generator bindings and needle recognizer are combined to make a property:

Property {
##[ x = 0;
}, name => "the_thing_we_are_testing(...) is non-negative";

Youll note that we also added a meaningful name. Although not strictly required, its an excellent practice that makes life easier. (Youll also note that we placed the generator bindings inside of the magic delimiters ##[ ]##. This tells Perl that our bindings are bindings and not regular Perl code.)

We can read the above property like so: "For all integers x and all characters c in the range A through Z, we assert that the_thing_we_are_testing is non-negative."

Testing whether your Properties hold

After you define properties for your software, just add them to a small Perl program that uses the Test::LectroTest module:

# MyProperties.l.t

use MyModule; # provides the_thing_we_are_testing
use Test::LectroTest;

Property {
##[ x = 0;
}, name => "the_thing_we_are_testing(...) is non-negative";

Then you can test your properties simply by running the program:

$ perl MyProperties.l.t

If your properties check out, youll see something like this:

1..1
ok 1 - the_thing_we_are_testing(...) is non-negative (1000 attempts)

If something goes wrong, however, LectroTest will tell you where it happened:

1..1
not ok 1 - the_thing_we_are_testing(...) is non-negative
falsified in 23 attempts
# Counterexample:
# $x = 4
# $c = "R"

What this says is that at the point (x=4, c="R") in the haystack, there is a needle (i.e., your property doesnt hold). With this information, you can examine your code to determine the cause of the error.

Prima::tutorial is an introductory tutorial.

Programming graphic interfaces is often considered somewhat boring, and not without a cause. It is a small pride in knowing that your buttons and scrollbars work exactly as millions of others buttons and scrollbars do, so whichever GUI toolkit is chosen, it is usually regarded as a tool of small importance, and the less obtrusive, the better.

Given that, and trying to live up to the famous Perl making easy things easy and hard things possible mantra, this manual page is an introductory tutorial meant to show how to write easy things easy. The hard things are explained in the other Prima manual pages ( see Prima ).