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Lære Lookahead, Lookbehind, and Non-Greedy Matching | Advanced Regular Expressions and Applications
Python Regular Expressions

bookLookahead, Lookbehind, and Non-Greedy Matching

Understanding advanced regular expression features such as lookahead, lookbehind, and non-greedy quantifiers enables you to perform highly precise pattern matching in Python. Lookahead and lookbehind are types of zero-width assertions, which allow you to assert whether a pattern exists (or does not exist) ahead of or behind your current position in the text, without including that pattern in the match itself. Non-greedy quantifiers let you control how much text a pattern consumes, ensuring you match only as much as necessary.

  • Lookahead is written as (?=...) and checks if a certain pattern follows the current position;
  • Lookbehind, written as (?<=...), checks if a certain pattern precedes the current position;
  • Non-greedy quantifiers such as *? and +? modify the default greedy behavior of quantifiers;
  • By default, quantifiers like * and + match as much text as possible; by adding a ?, you make them non-greedy, so they match as little text as possible.

A lookahead example: \w+(?=\d) matches a word only if it is immediately followed by a digit, but the digit is not part of the match. A lookbehind is similar in function but works in the opposite direction.

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import re # Lookahead: Match words followed by a digit text = "apple1 banana2 cherry pie" pattern_lookahead = r"\w+(?=\d)" matches_lookahead = re.findall(pattern_lookahead, text) print("Lookahead matches:", matches_lookahead) # Non-greedy matching: Extract text between tags html = "<b>Bold</b> and <b>Strong</b>" pattern_nongreedy = r"<b>(.*?)</b>" matches_nongreedy = re.findall(pattern_nongreedy, html) print("Non-greedy matches:", matches_nongreedy)
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How Lookahead and Non-Greedy Quantifiers Affect Pattern Matching

The lookahead pattern \w+(?=\d) in the example matches any sequence of word characters (\w+) only if it is directly followed by a digit (\d). The matched result does not include the digit, because lookahead does not consume the characters it checks for. This is useful when you want to find words that meet a certain condition about what comes next, without including that next part in the match.

The non-greedy quantifier *? in <b>(.*?)</b> changes how much text is matched between the <b> and </b> tags. A greedy quantifier like .* would match as much as possible, potentially capturing everything from the first <b> to the last </b>. By using *?, the pattern matches as little as possible, capturing only the text inside each pair of tags individually. This prevents overmatching and ensures you extract the smallest possible matching substring.

Lookahead and non-greedy quantifiers give you powerful control over how your regular expressions select text:

  • Lookahead allows you to assert that a match is followed by a specific pattern without including it;
  • Non-greedy quantifiers help you avoid capturing more text than needed.
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What does the non-greedy quantifier *? do?

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bookLookahead, Lookbehind, and Non-Greedy Matching

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Understanding advanced regular expression features such as lookahead, lookbehind, and non-greedy quantifiers enables you to perform highly precise pattern matching in Python. Lookahead and lookbehind are types of zero-width assertions, which allow you to assert whether a pattern exists (or does not exist) ahead of or behind your current position in the text, without including that pattern in the match itself. Non-greedy quantifiers let you control how much text a pattern consumes, ensuring you match only as much as necessary.

  • Lookahead is written as (?=...) and checks if a certain pattern follows the current position;
  • Lookbehind, written as (?<=...), checks if a certain pattern precedes the current position;
  • Non-greedy quantifiers such as *? and +? modify the default greedy behavior of quantifiers;
  • By default, quantifiers like * and + match as much text as possible; by adding a ?, you make them non-greedy, so they match as little text as possible.

A lookahead example: \w+(?=\d) matches a word only if it is immediately followed by a digit, but the digit is not part of the match. A lookbehind is similar in function but works in the opposite direction.

1234567891011121314
import re # Lookahead: Match words followed by a digit text = "apple1 banana2 cherry pie" pattern_lookahead = r"\w+(?=\d)" matches_lookahead = re.findall(pattern_lookahead, text) print("Lookahead matches:", matches_lookahead) # Non-greedy matching: Extract text between tags html = "<b>Bold</b> and <b>Strong</b>" pattern_nongreedy = r"<b>(.*?)</b>" matches_nongreedy = re.findall(pattern_nongreedy, html) print("Non-greedy matches:", matches_nongreedy)
copy

How Lookahead and Non-Greedy Quantifiers Affect Pattern Matching

The lookahead pattern \w+(?=\d) in the example matches any sequence of word characters (\w+) only if it is directly followed by a digit (\d). The matched result does not include the digit, because lookahead does not consume the characters it checks for. This is useful when you want to find words that meet a certain condition about what comes next, without including that next part in the match.

The non-greedy quantifier *? in <b>(.*?)</b> changes how much text is matched between the <b> and </b> tags. A greedy quantifier like .* would match as much as possible, potentially capturing everything from the first <b> to the last </b>. By using *?, the pattern matches as little as possible, capturing only the text inside each pair of tags individually. This prevents overmatching and ensures you extract the smallest possible matching substring.

Lookahead and non-greedy quantifiers give you powerful control over how your regular expressions select text:

  • Lookahead allows you to assert that a match is followed by a specific pattern without including it;
  • Non-greedy quantifiers help you avoid capturing more text than needed.
question mark

What does the non-greedy quantifier *? do?

Select the correct answer

Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 3. Kapitel 1
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