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The prototype is used by Perl to make decisions about the number and type of arguments that are supplied to the function The prototypes only affect function calls in the new form, that is, without a leading ampersand If it looks like a built-in function, Perl will treat it as such If you call a function using the old ampersand style, prototypes are ignored In all cases, Perl only checks at compile time, so the function and calls must be visible at the time the functions are compiled You specify the function arguments by using the special characters that precede normal variables as indicators of the variable type expected In the preceding example, the dollar signs signify that scalar values are expected The @ and % characters, as expected, specify arrays and hashes However, except in the upcoming case (where a subroutine is treated as a named unary operator), unbackslashed entries gobble up all the remaining arguments, regardless of the rest of the prototype In addition, the $ implies a scalar context, and @ and % imply list context accordingly An ampersand requires an anonymous subroutine that can be specified without the sub keyword or the trailing comma, if it is specified as the first argument A * character specifies a typeglob, typically used to supply filehandles Any backslash-quoted character signifies that the argument absolutely must start with that character for example, \@ would require that the function call specify a list as the first argument A semicolon separates the required arguments from optional arguments in the prototype The semicolon is used to distinguish between the arguments

n In your methods and constructors ( I got to method X ) n Inside any loops n To check the state of your data: What s the value of x How many entries are

Perl objects have some very specific features and advantages that make them easy to use within a Perl script The lack of a distinct compartment for object-oriented programs may seem like a problem for programmers used to the confinement of Python or C++ In fact, it makes programming with objects and normal structures much more fluid and intelligent you can use objects when the need requires it without having to make the decision before starting to program Let s have a look at some other differences between the object implementation in Perl and other languages

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< php // suppress all error messages (except fatal errors) error_reporting(E_ERROR); // call a function without required arguments echo strrev(); >

Python is an object-oriented language All data structures are created within an object environment and the individual structures, such as lists and dictionaries (which are like Perl s hashes), can all be accessed using a consistent object interface The external

10:

Typing it You ll remember stuff better if you ve typed it in rather than cutting and pasting it It s kind of like muscle memory for your brain Don t Use an iDE We ve said it a million times The exam was created and tested using simple text editors and the command line During the course of writing this book, we discovered a discrepancy between the compiler and a very common IDE Also, even if you knew that your IDE would always agree with the compiler, IDEs are supposed to help by doing stuff for you behind the scenes Once you ve got your certification, go ahead and crank up your IDE; you ll be more efficient But don t do it while you re studying (Okay, if you get really really stuck, you could use it once in a while as a last resort) Memorizing apis We get a lot of grief about having the APIs on the exam Candidates rightfully claim that they would never trust their memory of an API in production code, so why should they have to memorize API stuff for the exam The exam creation team had a couple of very specific goals in mind for the API portions of the exam:

libraries also have an object interface Although this all appears to be restrictive, in fact Python makes it very easy and straightforward, and you never feel as confined as you do with, say, C++ or Java As such, Python is an excellent language for learning objectoriented techniques; and although it is more structured than Perl, the fluidity of the environment will appeal to Perl programmers The main difference between Python and Perl is that Perl does not impose the structure Perl also supports objects based on scalars, arrays, and hashes; Python only supports objects using dictionaries (hashes)

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