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  2. grep - Wikipedia

    en.wikipedia.org/wiki/Grep

    grep is a command-line utility for searching plaintext datasets for lines that match a regular expression. Its name comes from the ed command g/re/p (global regular expression search and print), which has the same effect.

  3. Regular expression - Wikipedia

    en.wikipedia.org/wiki/Regular_expression

    The character class is the most basic regex concept after a literal match. It makes one small sequence of characters match a larger set of characters. For example, [A-Z] could stand for any uppercase letter in the English alphabet, and \ d could mean any digit. Character classes apply to both POSIX levels.

  4. pgrep - Wikipedia

    en.wikipedia.org/wiki/Pgrep

    Additional functionality of pgrep is listing the process name as well as the PID (-l Lists the process name as well as the process ID) of all processes belonging to the group alice (-G Only match processes whose real group ID is listed. Either the numerical or symbolical value may be used): $

  5. agrep - Wikipedia

    en.wikipedia.org/wiki/Agrep

    agrep (approximate grep) is an open-source approximate string matching program, developed by Udi Manber and Sun Wu between 1988 and 1991, [1] for use with the Unix operating system. It was later ported to OS/2 , DOS , and Windows .

  6. AWK - Wikipedia

    en.wikipedia.org/wiki/AWK

    AWK (/ ɔː k / [4]) is a domain-specific language designed for text processing and typically used as a data extraction and reporting tool. Like sed and grep, it is a filter, [4] and it is a standard feature of most Unix-like operating systems.

  7. Semgrep - Wikipedia

    en.wikipedia.org/wiki/Semgrep

    Semgrep rules are similar to source code and do not require knowledge of a domain specific language to write. Both open source and commercial rules can be forked and customized to a user's codebase, however only commercial users are able to customize commercial rules. All users are free to fork and modify open source (community) rules. [7]

  8. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2. [37] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning community. [38] [39] [40] [41]

  9. Referential integrity - Wikipedia

    en.wikipedia.org/wiki/Referential_integrity

    An example of a database that has not enforced referential integrity. In this example, there is a foreign key (artist_id) value in the album table that references a non-existent artist — in other words there is a foreign key value with no corresponding primary key value in the referenced table.