The position of the smallest value within a list is indicated by the index of the minimum element. Each list element has a distinct index that increases by one with each additional element after the first, starting at zero for the first element. By determining the index of the minimum element, we can locate the exact position of the smallest value within the list. In Python, we have some built-in functions like min(), index(), argmin(), lambda(), and, enumerate() to find the index of the minimum element in the list. Syntax The following syntax is used in the examples- min() ... Read More

Lists are a powerful data structure in Python that can hold many values of various types. We may come across nested lists where the items themselves are lists. In such circumstances, flattening the list and retrieving individual elements from the hierarchical structure may be essential. In Python, we have some built-in functions- chain(), extend(), and append() that can be used to solve the Flatten List to individual elements. Let’s take an example of this: Input # Flatten List my_list = [[11, 21, 31], [20, 30, 40], [4, 5, 6], [1, 2, 3]] Output # individual element in the list ... Read More

The dictionary is one of the famous datatypes of Python that consist of keys with value pairs. The strings list is the set of elements that are represented either in a single or double quotation. In Python, we have some built-in functions such as keys(), set(), intersection, and append() will be used to find the dictionary keys present in strings List. Let’s take an example of this. There are two available sets:- The given dictionary, {'T': 1, 'M': 2, 'E': 3, 'C': 4} The given list, [T, A, B, P, E, L] Therefore, the final result becomes [T, E]. ... Read More

The tuple is a popular datatype of Python that represents the collection of objects or elements separated by commas. The frequency of data type defines the total number of counts of a specific variable type. Python has four primitive variable types: integer, float, boolean, and string. In Python, we have some built-in functions such as type(), isinstance(), filter(), lambda, len(), and list() will be used to Find the frequency of a given Datatype in a Python tuple. Syntax The following syntax is used in the examples- type() The type() is an in-built function in Python that returns the type ... Read More

In Alphabetical series there are consists of 26 characters of which 5 characters are vowels such as a, e, i, o, u and the rest are called as consonants. In C++, we have predefined functions such as tolower() and length() that will help to Check whether all the substrings have number of vowels atleast as that of consonants. Let’s take an example of this. The string has only one consonant with the rest vowel “aiteau”. Hence, it is accepted as the final result. The string has more than one consonant with the rest vowel “appioa”. Hence, it is not ... Read More

The suffix of keys is a group of letters that is mentioned at the end of the word. In this problem statement, we need to create the specific variable that set the suffix key to filter the result by using some specific conditions. In Python, we have some built-in functions such as endswith(), filter(), lambda, append(), and, items() that will be used to Find Keys with specific suffix in Dictionary. Let’s take an example of this. The given dictionary, my_dict = {'compiler': 100, 'interpreter': 200, 'cooperative': 300, 'cloudbox': 400, 'database': 500} The suffix key is set to er, ... Read More

The tuple is ordered or a finite sequence to collect the data. It can be represented by using parenthesis i.e. (). A byte integer is a simple number without having decimal or fractional values. In Python, we have some built-in functions such as from_bytes(), bytes(), unpack(), and, enumerate() will be used to Interconvert Tuple to Byte Integer. Syntax The following syntax is used in the examples from_bytes() The from_bytes() is an in-built function in Python that accepts two specific parameters bytes()- The bytes() is also a built-in function that defines the immutable series of integers. byteorder- The byteorder ... Read More

The Index match element Product refers to two different lists where it contains the elements and set to respective variable. If common matches are found, then it filters the element by multiplication. To solve this problem statement, Python has some built-in functions such as range(), len(), zip(), prod(), reduce(), and, lambda(). Let’s take an example of this. The given input lists: list_1 = [10, 20, 30, 40] list_2 = [10, 29, 30, 10] So, the common matches found in indexes 0 and 2 and its product become 10*30 = 300. Syntax The following syntax is used in the examples ... Read More

The atmost K element is set to a specific value in the given list to filter those indices whose elements are greater than the K value. In Python, we have some built-in functions such as enumerate(), range(), len(), where(), map(), range(), and, filter() that will be used to solve the Indices of atmost K elements in list. Let’s take an example of this. The given list, [10, 8, 13, 29, 7, 40, 91] and the K value set to 13. Now, it will check how many elements are less than or equal to 12 and filter those indices which are ... Read More

The frequency of elements consists of two different lists where one list defines the unique element and the other list defines the number of repetitions of the same element w.r.t to the first list. Then use some conditions and operations in the dictionary to set each element of the first list represented by a key whereas the value pair will be represented by counting the total number of repetitions of key element in the second list. In Python, we have some built-in functions such as Counter(), count(), defaultdict(), and, unique() will be used to solve the Frequency of elements from ... Read More