Perl

Edit · View history

Perl is a high-level, general-purpose, interpreted, dynamic programming language. Created by Larry Wall in 1987, Perl was originally designed for text processing and system administration tasks, but has since evolved to support a wide range of programming paradigms including procedural, object-oriented, and functional styles. Its motto, "There's more than one way to do it" (TMTOWTDI), reflects the language's philosophy of providing flexibility and expressiveness to the programmer.

Perl is particularly known for its powerful built‑in support for regular expressions, extensive third‑party module repository (the Comprehensive Perl Archive Network, or CPAN), and its ability to handle tasks ranging from quick one‑liners to large‑scale application development. It has been widely used in web development (via mod_perl and the CGI protocol), system administration, network programming, and bioinformatics.

History

Perl was developed by Larry Wall while he was working at Unisys. He released version 1.0 on December 18, 1987. The language was influenced by the C programming language, Unix shell scripting, sed, awk, and some Lisp concepts. Wall released Perl 2 in 1988, adding more features, followed by Perl 3 in 1989, which introduced support for binary data streams.

Perl 4, released in 1991, included the first version of the Camel book (Programming perl) and became widely popular. In 1994, Perl 5 was released, introducing a complete rewrite of the interpreter, modules, objects, and references. Perl 5 has since seen continuous development, with regular major releases (e.g., 5.10, 5.20, 5.30, and the latest as of 2025, Perl 5.40).

In 2000, work began on Perl 6, a major redesign. The project eventually spun off into a separate language, Raku (formerly known as Perl 6), released in 2015. The original Perl language continues to be maintained and developed as Perl 5, while Raku is considered a sister language.

Features

Despite its strengths, Perl has been criticized for code readability, especially in large codebases, and for its relatively late adoption of modern language features compared to alternatives like Python and Ruby. Nevertheless, it remains actively used in legacy systems, DevOps automation, and certain niche domains.