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When it is required to flatten a list of tuples into a string format, the 'str' method and the 'strip' method can be used.A list can be used to store heterogeneous values (i.e data of any data type like integer, floating point, strings, and so on).A list of tuples basically contains tuples enclosed in a list. The 'strip' method will remove the specific character/value. The 'str' method will convert the given data type into a string data type.Below is a demonstration of the same −ExampleLive Demomy_list = [(11, 14), (54, 56), (98, 0), (13, 76)] print("The list is : ... Read More
When it is required to concatenate tuples to nested tuples, the '+' operator can be used. A tuple is an immutable data type. It means, values once defined can't be changed by accessing their index elements. If we try to change the elements, it results in an error. They are important contains since they ensure read-only access.The '+' operator is used for addition or concatenation operation.Below is a demonstration of the same −ExampleLive Demomy_tuple_1 = ( 7, 8, 3, 4, 3, 2), my_tuple_2 = (9, 6, 8, 2, 1, 4), print ("The first tuple is : " ) print(my_tuple_1) ... Read More
When it is required to convert a tuple to a float value, the 'join' method, 'float' method, 'str' method and generator expression can be used.Generator is a simple way of creating iterators. It automatically implements a class with '__iter__()' and '__next__()' methods and keeps track of the internal states, as well as raises 'StopIteration' exception when no values are present that could be returned.The 'float' method converts a given element to float data type.The 'str' method converts the given element into string data type.Below is a demonstration of the same −ExampleLive Demomy_tuple_1 = ( 7, 8) print ("The first ... Read More
When it is required to find dissimilar elements in tuples, the 'set' operator and the '^' operator can be used.Python comes with a datatype known as 'set'. This 'set' contains elements that are unique only.The set is useful in performing operations such as intersection, difference, union and symmetric difference.The '^' operator is a bitwise operator that performs the 'XOR' operation. It sets every bit to 1 if only one of the two bits is 1.Below is a demonstration of the same −ExampleLive Demomy_tuple_1 = ((7, 8), (3, 4), (3, 2)) my_tuple_2 = ((9, 6), (8, 2), (1, 4)) print ... Read More
When it is required to convert a tuple to an adjacency pair dictionary, the 'dict' method, the dictionary comprehension, and slicing can be used.A dictionary stores values in the form of a (key, value) pair. The dictionary comprehension is a shorthand to iterate through the dictionary and perform operations on it.Slicing will give the values present in an iterable from a given lower index value to a given higher index value, but excludes the element at the higher index value.Below is a demonstration of the same −ExampleLive Demomy_tuple_1 = (7, 8, 3, 4, 3, 2) print ("The first tuple ... Read More
When it is required to count the elements up to the first tuple, a simple loop, the 'isinstance' method, and the 'enumerate' method can be used.Below is a demonstration of the same −ExampleLive Demomy_tuple_1 = (7, 8, 11, 0 ,(3, 4, 3), (2, 22)) print ("The tuple is : " ) print(my_tuple_1) for count, elem in enumerate(my_tuple_1): if isinstance(elem, tuple): break print("The number of elements up to the first tuple are : ") print(count)OutputThe tuple is : (7, 8, 11, 0, (3, 4, 3), (2, 22)) The number of elements up to the first ... Read More
When it is required to check for 'None' value in a tuple, the 'all' method and the generator expression can be used.The 'all' method checks to see if all the values inside an iterable are True values. If yes, it returns True, else returns False.Below is a demonstration of the same −ExampleLive Demomy_tuple_1 = (None, None, None, None, None, None, None ) print ("The tuple is : " ) print(my_tuple_1) my_result = all(elem is None for elem in my_tuple_1) print("Does the tuple contain only None values ? ") print(my_result)OutputThe tuple is : (None, None, None, None, None, ... Read More
When it is required to subtract the tuples, the 'map' method and lambda function can be used.The map function applies a given function/operation to every item in an iterable (such as list, tuple). It returns a list as the result.Anonymous function is a function which is defined without a name. In general, functions in Python are defined using 'def' keyword, but anonymous function is defined with the help of 'lambda' keyword. It takes a single expression, but can take any number of arguments. It uses the expression and returns the result of it.Below is a demonstration of the same −ExampleLive ... Read More
There are three ways by which the values of structure can be transferred from one function to another. They are as follows −Passing individual members as arguments to function.Passing entire structure as an argument to function.Passing the address of structure as an argument to function.Now let’s see how to pass an individual member of structure elements as arguments to function.Each member is passed as an argument in the function call.They are collected independently in ordinary variables in function header.ExampleGiven below is a C program to demonstrate passing individual arguments of structure to a function − Live Demo#include struct date{ int ... Read More
When it is required to find the area and perimeter of a circle using classes, object oriented method is used. Here, a class is defined, and attributes are defined. Functions are defined within the class that perform certain operations. An instance of the class is created, and the functions are used to find the area and perimeter of the circle.Below is a demonstration for the same −Example Live Demoimport math class circle_compute(): def __init__(self, my_radius): self.radius=my_radius def area_calculate(self): return math.pi*(self.radius**2) def perimeter_calculate(self): return 2*math.pi*self.radius my_result = int(input("Enter the radius ... Read More