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Perl's original designer was Larry Wall (Larry Wall), which was published on December 18, 1987. Perl borrows the features of C, sed, awk, shell scripting, and many other programming languages. Larry Wall Published version 1.0 of the Perl scripting

Die Function 18.4 handle errors In many cases, system calls may fail. For example, you can try to open a non-existing file, delete a directory that still contains the file, or Try to read files without read permission. In the previous example, we

I. Data Types(Data type): Perl has four data types: Scalar (variable), Scalar Array (Array), Hash Array (Hash), and References (pointer ), it seems to be rare, but it is more than enough to use it. Especially when writing Perl programs, you do not

one. DataType (data type ):Perl's data types are roughly four: Scalar (variables), Scalar Array (array), hash array (hash), References (pointer), but they seem to be small but more than sufficient. In particular, you can write a Perl program without

Perl + fastcgi + nginx Build Nginx + fastcgi is the most popular environment in PHP, then Perl will also have fastcgi it, of course, Today to build the next Nginx Perl fastcgi. Performance is no less than PHP, but now the popularity of Web programs

Introduction to Perl syntax 1.PERL variables 1.1.Perl Variable Classification 1.2.Perl variables 1.2.1 Scalar variable 1.2.2 Array Variables 1.2.3 Scalar and array variables 1.2.4 Associative arrays 2

Introduction to Perl Syntax Perl operators 1.Perl operator 1.1 Arithmetic operators Perl is very different in variables and data paradigms and C. However, its operator and C are almost identical, except for the example conversion operator type of

Introduction to Perl Operators 1. Perl Operators 1.1 Arithmetic Operators Perl is similar to C in both variables and data examples, but its operators and C are almost the same, except for C's example conversion operator type, pointer Reference

Program scripts in the process of running, always encounter such a problem, we will anticipate some problems and prepare them for processing code, and some unpredictable. The good program should be able to deal with as many of the possible anomalies

Reply content:Laxatives. First of all, my personal proposition is: Python! 3 years of experience in bioinformatics application development and data analysis show that I chose Python and recommended that my colleagues and friends around me