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This approach involves iterating through each name in the list, transforming the name so that the first letter is uppercase and the rest are lowercase. This is a common string manipulation problem that can be solved using built-in string functions in most programming languages.
Time Complexity: O(n) for each name, where n is the length of the name.
Space Complexity: O(1) since we modify the names in place.
1def format_names(users):
2 return [(user_id, name.capitalize()) for user_id, name in users]
3
4# Example usage
5users = [(1, "aLice"), (2, "bOB")]
6formatted_users = format_names(users)
7
8print("+---------+-------+")
9print("| user_id | name |")
10print("+---------+-------+")
11for user_id, name in formatted_users:
12 print(f"| {user_id} | {name} |")
13print("+---------+-------+")Python's str.capitalize() method is used directly to ensure the first character is uppercase and the rest are lowercase. A list comprehension helps apply this operation to each name.
This approach applies regular expressions to locate patterns that match the criteria and replace them with the desired format. This leverages the pattern matching capability of regex to achieve the transformation in fewer lines of code.
Time Complexity: O(n) for each name due to regex matching and replacement, where n is the length of the name.
Space Complexity: O(n) for storing the modified strings.
1import re
2
3def format_names(users
In this Python solution, the regex (\w)(\w*) captures the first character and the remainder of the string separately. The lambda function then applies the uppercase and lowercase transformations in one substitution step.