The dictionary is one of the most popular among four datatypes known for unordered collection of key-value pairs. The Python matrix will be used to represent the list of lists whereas an inner list represents the row-value of a matrix. A coordinate dictionary is defined as tuples to set the rows and columns by giving coordinates value. In Python, we have some built-in functions such as len(), range(), zip(), etc. that can be used to solve Convert Matrix to Coordinate dictionary. Syntax The following syntax is used in the examples- len() The len() is a built-in method in Python ... Read More

The indices are the position of the elements present in the list whereas K defines the specific value to target the smallest element from the list. Sometimes, we are working in the field of web development and database these tasks generally occur to solve this problem statement. In Python, we have built-in functions like sorted(), range(), len(), etc. that will be used to find the indices for k Smallest elements. Syntax The following syntax is used in the examples- sorted() The sorted() is an in-built function in Python that helps to return the new sorted list while ... Read More

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

The stream of strings is a sequential flow of given data where an individual element of the stream represents a string. The stream allows a large process of string data In C++, we have some STL(Standard template library) based functions such as count() and insert() to Check duplicate in a stream of strings. Using Standard Template Library The program uses C++ STL to set the header file unordered representing the unique key element and helps to solve the duplicates in a stream of strings. Syntax The following syntax is used in the examples- static unordered_set unq_string; The ... 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