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Learn Challenge: Slicing and Search Drills | Strings
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Data Types in Python

bookChallenge: Slicing and Search Drills

Task

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Use simple string tools — methods, slicing, in, and f-strings — to complete each expression. All variables are already defineddo not change them.

Compute:

  1. name_clean — remove extra spaces from full_name.
  2. has_quick — check if "quick" appears in sentence (case-insensitive).
  3. inside_parens — extract text between parentheses ( and ).
  4. o_count — count how many 'o' letters are in sentence (case-insensitive).
  5. domain — from email, take everything after @ (after trimming and lowercasing).
  6. report — build "Name | Domain | Count" using an f-string and SEP.

Solution

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Section 3. Chapter 6
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bookChallenge: Slicing and Search Drills

Swipe to show menu

Task

Swipe to start coding

Use simple string tools — methods, slicing, in, and f-strings — to complete each expression. All variables are already defineddo not change them.

Compute:

  1. name_clean — remove extra spaces from full_name.
  2. has_quick — check if "quick" appears in sentence (case-insensitive).
  3. inside_parens — extract text between parentheses ( and ).
  4. o_count — count how many 'o' letters are in sentence (case-insensitive).
  5. domain — from email, take everything after @ (after trimming and lowercasing).
  6. report — build "Name | Domain | Count" using an f-string and SEP.

Solution

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Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 3. Chapter 6
single

single

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