Regular Expressions Masterclass: REGEX Universal 8.5 Hours!

Master universal regular expressions with a practical master class covering regex across Python, Perl, and Basche. Learn from experts in Linux, dev ops, HPC, and data science.

Enroll now to access practical, beginner-friendly instruction starting from zero, with clear video explanations, exercises, and hands-on projects. Includes lifetime access and a 30-day money-back guarantee.

Meet the instructor from the scientific programming school and discover how experts teach advanced scientific coding and Linux administration to solve real world problems in the regular expressions masterclass.

Explore an interactive shell to practice command-line regex, understand how the tool works, and stay engaged as you continue through the regular expressions masterclass.

Master regular expressions by covering basics, character classes, anchors, grouping, backreferences, and lookarounds, then apply patterns to numbers, letters, and text across Bash, Python, C++, and Perl for text analysis.

Explore the history and fundamentals of regular expressions, a concise tool for matching text, tracing its evolution from early theory to modern text processing and analytics.

Learn how to test and apply regular expressions using regex101.com and Notepad++, explore editors like Sublime Text, Vim, and Emacs, plus regex use in Bash, Python, Perl, C++, and Java.

Learn how dots match a single character and how character classes and ranges select characters. Use start and end anchors, and quantifiers like ?, +, and * to control repetition.

Master literals in regular expression BASIX by learning how literal characters match exact text between forward slashes. Practice simple matches with letters and numbers on test strings, noting left-to-right matching.

Explore the five basic regex models—global, case insensitive, single-line, multiline, and standard—together with syntax using slashes, and learn how global finds all matches while standard returns the first.

Explore metacharacters in regular expressions, distinguishing literal characters from special ones, and learn how to escape them with backslashes to match digits, whitespace, and other patterns.

Master wildcards and non-printables in regular expressions, using the dot to match any character except newline and escaping it to match literals like file extensions, with tab and newline sequences.

Explore character sets (character classes) using square brackets to match a character from a set. See how ranges, digits, and the dot wildcard enable year patterns like 2014 to 2018.

Master how character ranges define a series of characters inside a set, using hyphens for ranges and literal hyphens when needed, to match uppercase and lowercase letters and digits.

Master negating a character class with a caret and escaping meta characters in regular expressions, using practical rules for hyphen, backslash, and closing bracket to ensure literal matches.

Explore shorthand characters in regex, including digits with \d, non-digits with \D, whitespace with \s, non-whitespace with \S, and word and non-word characters with \w and \W.

Master repetition with quantifiers, including ? * + and optional groups, apply braces for exact or ranged repeats, and use word boundaries to refine matches.

Explain greedy and lazy matches in regular expressions, show quantifiers default to greediness, and demonstrate making them lazy with ? or negated character classes to reduce backtracking and improve efficiency.

Explore anchors and boundaries in regular expressions, using start and end positions, word boundaries like \b and \B, and the roles of ^, $, and multiline mode to control matches.

Explore alternation in regular expressions, using the pipe and grouping to match one of several patterns, with nested alternatives and examples like domains, filenames, and Toyota or Honda.

Master groupings in regular expressions by learning capturing and non-capturing groups, numbering groups including group zero, and using backreferences to match repeated text such as words or phone formats.

Explores lookaround concepts in regular expressions, detailing positive and negative lookahead and look behind assertions, with practical examples of matching only when specific words appear before or after.

Analyze date data, break into columns, and build regex patterns per column, then combine with character classes, backslash d, quantifiers, escaping, and word boundaries.

Learn to craft regex patterns for postal codes, including five-digit and five-digit hyphen four-digit formats, with word boundaries, anchors, and optional uk variations.

Learn to craft a regex that validates ip addresses from 0 to 255 by splitting into 250-255, 200-249, and 0-199 ranges, escaping dots and using alternation.