The caret^, when found at the start of a character set, is the equivalent to "not" in RegEx. The regular expression [^a-c] matches any characters except "a", "b" and "c". Write the regular expression that matches any characters except letters, digits and spaces. You must use a negated character set in your expression. Examples txt = " alice15@gmail.com pattern = "yourregularexpressionhere" re.findall(pattern, txt) ["@", "."] Notes • You don't need to write a function, just the pattern. • Do not remove import re from the code. • Find more info on RegEx and negation in Resources. • You can find all the challenges of this series in my Basic RegEx collection.

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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The caret when found at the start of a character set, is the
equivalent to "not" in RegEx. The regular expression [^a-c]
matches any characters except "a", "b" and "c". Write the regular
expression that matches any characters except letters, digits and
spaces. You must use a negated character set in your expression.
Examples
txt = alice15@gmail.com "
pattern = "yourregularexpressionhere"
re.findall(pattern, txt) ["@", "."]
Notes
• You don't need to write a function, just the pattern.
• Do not remove import re from the code.
• Find more info on RegEx and negation in Resources.
• You can find all the challenges of this series in my Basic RegEx
collection.
Transcribed Image Text:The caret when found at the start of a character set, is the equivalent to "not" in RegEx. The regular expression [^a-c] matches any characters except "a", "b" and "c". Write the regular expression that matches any characters except letters, digits and spaces. You must use a negated character set in your expression. Examples txt = alice15@gmail.com " pattern = "yourregularexpressionhere" re.findall(pattern, txt) ["@", "."] Notes • You don't need to write a function, just the pattern. • Do not remove import re from the code. • Find more info on RegEx and negation in Resources. • You can find all the challenges of this series in my Basic RegEx collection.
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