![]() ![]() Regular Expressions for MS SQL server v.1.51 The Regular Expressions for MS SQL Server offer an extremely powerful way to search, replace, format and extract text data inside a string using sophisticated search criteria, far above the capabilities of the MSSQL's PATINDEX and REPLACE functions.JavaScript Regular Expressions guide Regular expressions are a powerful tool for performing pattern matches in Strings in JavaScript.This is a comprehensive guide and reference on JS regular. Microsoft PowerPivot for Excel 2010 Data Analysis Expressions Sample v.1.0 Microsoft PowerPivot for Excel 2010 Data Analysis Expressions Sample.Expressions 3.7.4 v.B1130 The filter module 'Expressions' for data loggers is an interpreter for quick and easy evaluation of expressions. ![]() ![]() Supports different data types (string, date, time, decimal, float and boolean), arithmetic and boolean. ![]()
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