Regular expressions in Python
Regular expressions in Python
About the Book
About the Author
Table of Contents
- Thank you!
- Regular Expressions in Python
- What are Regular Expressions (aka. Regexes)?
- What are Regular Expressions good for?
- Examples
- Where can I use it ?
- grep
- Regexes first match
- Match numbers
- Capture
- Capture more
- Capture even more
- Named capture
- findall
- findall with capture
- findall with capture more than one
- Any Character
- Match dot
- Character classes
- []
- Common characer classes
- Negated character class
- Character classes summary
- Character classes and Unicode characters
- Character classes for Hebrew text
- Match digits
- Word Characters
- Exercise: add numbers
- Solution: add numbers
- Solution: add numbers
- Solution: add numbers
- Optional character
- Regex match 0 or more (the * quantifier)
- Quantifiers
- Quantifiers limit
- Quantifiers on character classes
- Greedy quantifiers
- Minimal quantifiers
- Anchors
- Anchors with mulitline
- Anchors on both end
- Match ISBN numbers
- Matching a section
- Matching a section - minimal
- Matching a section negated character class
- Two regex with logical or
- Alternatives
- Grouping and Alternatives
- Internal variables
- More internal variables
- Regex DNA
- Regex IGNORECASE
- DOTALL S (single line)
- MULTILINE M
- Combine Regex flags
- Regex VERBOSE X
- Substitution
- Substitution and MULTILINE - remove leading spaces
- findall capture
- Fixing dates
- Fixing dates - 1
- Fixing dates - 2
- Fixing dates - 3
- Fixing dates - 4
- Anchor edge of word
- Double numbers
- Remove spaces
- Replace string in Assembly code
- Replace string in Assembly code - using mapping dict
- Replace string in Assembly code - using alternatives
- Replace string in Assembly code - generate regex
- Full example of previous
- Split with regex
- Exercises: Regexes part 1
- Exercise: Regexes part 2
- Exercise: Sort SNMP numbers
- Exercise: parse hours log file and create report
- Exercise: Parse ini file
- Exercise: Replace Python
- Exercise: Extract phone numbers
- Solution: Sort SNMP numbers
- Solution: parse hours log file and give report
- Solution: Processing INI file manually
- Solution: Processing config file
- Solution: Extract phone numbers
- Regular Expressions Cheat sheet
- Fix bad JSON
- Fix very bad JSON
- Raw string or escape
- Remove spaces regex
- Regex Unicode
- Anchors Other example
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