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Problems

count_jobs

Return the number of users with a given job

Example 1:

Input: ([{'name': 'John', 'job': 'Developer'}, {'name': 'Mary', 'job': 'Developer'}],"Developer")
Output: 2

Constraints:

• 0 <= len(data) <= 10^5
• 0 <= len(data) <= 10^5

count_users_with_age

Return the number of users with a given age.

Example 1:

Input: ([{'name': 'John', 'age': 27},{'name':'Mary', 'age': 42}],27)
Output: 1

Constraints:

• 0 <= len(data) <= 10^5
• 0 <= age <= 10^5

find_int_keys

Return a list of all keys in a dictionary that are integers.

Example 1:

Input: {'a': 1, 3: 2, 'c': 3,10:'a'}
Output: [3, 10]

Constraints:

• 0 <= len(data) <= 10^5

find_length_of_values

Return the sum of the length of all values in a dictionary.

Example 1:

Input: {'a': 'abc', 'b': 'def', 'c': 'ghi'}
Output: 9

Example 2:

Input: {1: "Khiva", 2: "Namangan", 3: "Samarkand", 4: "Tashkent"}
Output: 30

Constraints:

• 0 <= len(data) <= 10^5

find_max_key

Return the maximum key in a dictionary.

Example 1:

Input: {1:'a', 2:'b', 3: 'c'}
Output: 3

• 0 <= len(data) <= 10^5

find_max_value

Return the maximum value in a dictionary.

Example 1:

Input: {'a': 1, 'b': 2, "c" : 3}
Output: 3

Constraints:

• 0 <= len(data) <= 10^5

get_country_with_least_users

Return the country with the least users

Example 1:

Input: [{'name': 'John', 'country': 'USA'}, {'name': 'Mary', 'country': 'UK'}]
Output: 'UK'

Constraints:

• 0 <= len(data) <= 10^5

get_country_with_most_users_with_age

Return the country with the most users with a given age

Example 1:

Input: ([{'name': 'John', 'country': 'USA', 'age': 27}, {'name': 'Mary', 'country': 'UK', 'age': 42}],27)
Output: 'USA'

Constraints:

• 0 <= len(data) <= 10^5

get_country_with_most_users

Return the country with the most users.

Example 1:

Input:[{'name': 'John', 'country': 'USA'}, {'name': 'Mary', 'country': 'UK'}]
Output: "USA"

Constraints:

• 0 <= len(data) <= 10^5

get_max_age_user_name

Return the name of the user with the maximum age in a dictionary.

Example 1:

Input: [{'name': 'John', 'age': 27}, {'name': 'Mary', 'age': 42}]
Output: 'Mary'

Constraints:

• 0 <= len(data) <= 10^5

get_min_age_user_name

Return the name of the user with the minimum age in a dictionary.

Example 1:

Input: [{'name': 'John', 'age': 27}, {'name': 'Mary', 'age': 42}]
Output: 'John'

Constraints:

• 0 <= len(data) <= 10^5

get_user_country

Return the country of a user with a given name.

Example 1:

Input: ([{'name': 'John', 'country': 'USA'}, {'name': 'Mary', 'country': 'UK'}],"John")
Output: 'USA'

Constraints:

• 0 <= len(data) <= 10^5
• 0 <= len(name) <= 10^5

get_user_names_with_age_range_and_country

Return a list of users with a given age range and country

Example 1:

Input: ([{'name': 'John', 'age': 27}, {'name': 'Mary', 'age': 42}],20,30,"USA")
Output: ['John']

Constraints:

• 0 <= len(data) <= 10^5
• 0 <= max_age <= 10^5
• 0 <= min_age <= 10^5
• 0 <= len(country) <= 10^5

get_user_names_with_age_range

Return a list of users with a given age range

Example 1:

Input: ([{'name': 'John', 'age': 27}, {'name': 'Mary', 'age': 42}],20,30)
Output: ['John']

Constraints:

• 0 <= len(data) <= 10^5
• 0 <= max_age <= 10^5
• 0 <= min_age <= 10^5

get_user_names_with_age

Return a list of users with a given age

Example 1:

Input: ([{'name': 'John', 'age': 27}, {'name': 'Mary', 'age': 42}],27)
Output: ['John']

Constraints:

• 0 <= len(data) <= 10^5
• 0 <= age <= 10^5

get_user_names

Return a list of users with a given country

Example 1:

Input: ([{'name': 'John', 'country': 'USA'}, {'name': 'Mary', 'country': 'UK'}],"USA")
Output: ["John"]

Constraints:

• 0 <= len(data) <= 10^5
• 0 <= len(name) <= 10^5

sum_age_values

Return the sum of all age values in a dictionary.

Example 1:

Input: [{'name': 'John', 'age': 27}, {'name': 'Mary', 'age': 42}]
Output: 69

Constraints:

• 0 <= len(data) <= 10^5

sum_dict_values

Return the sum of all values in a dictionary.

Example 1:

Input: {'a': 1, 'b': 2, 'c': 3}
Output: 6

Constraints:

• 0 <= len(data) <= 10^5

sum_even_values

Return the sum of all even values in a dictionary.

Example 1:

Input: {'a': 1, 'b': 2, 'c': 3}
Output: 2

Constraints:

• 0 <= len(data) <= 10^5

sum_float_values

Return the sum of all float values in dictionary.

Example 1:

Input: {'a': 1, 'b' : 2.5, 'c': 3.0}
Output: 5.5

Constraints:

• 0 <= len(data) <= 10^5

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