Regular expressions are powerful tools for working with unstructured data in SAS, allowing you to search for specific patterns, extract substrings, and perform text substitutions using metacharacters in Perl. While writing regular expressions can be challenging at first, with practice, you can becom

1 views • 33 slides

Learn how to extract data from Alma using PERL programming language and the Alma Analytics API. Get insights on API calls, required parameters, optional parameters like setting row limits, and using resumption tokens for handling large data sets efficiently.

0 views • 16 slides

Explore how to extend popular languages like R, Perl, and Python by installing extensions for new functionalities. Learn about installing R packages from different sources - CRAN, BioConductor, and others. Discover how to install Perl modules using CPAN and structured naming formats.

0 views • 16 slides

In Perl, comparison operators are used for standard comparisons, where Perl supports operators like greater than (>), less than (<), greater than or equal to (>=), less than or equal to (<=), equal to (==), and not equal to (!=). Boolean values like true and false are represented by numerical values

0 views • 25 slides

Perl is a versatile scripting language suitable for various tasks such as test processing, system administration, and bioinformatics. Despite a decline in popularity due to the rise of languages like PHP and Python, Perl remains useful and easily accessible on different platforms. Learning Perl requ

0 views • 24 slides

Perl is a high-level, general-purpose, interpreted, dynamic programming language created by Larry Wall. It is known for its practical extraction and reporting capabilities, robust shell scripting, and support for CGI scripts. Perl is celebrated for its modularity, case-sensitivity, and extensive lib

0 views • 27 slides