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When it is required to find the length of a linked list with the help of recursion, a method to add elements to the linked list, and a method to calculate the length of the linked list is defined. A helper function is defined that is called with the help of the previously defined length calculation method.Below is a demonstration for the same −Example Live Democlass Node: def __init__(self, data): self.data = data self.next = None class my_linked_list: def __init__(self): self.head = None self.last_node = None ... Read More
When it is required to display the nodes of a linked list in reverse without using the method of recursion, a method to add elements to the linked list, and a method to display the elements in reverse order is defined.Below is a demonstration for the same −Example Live Democlass Node: def __init__(self, data): self.data = data self.next = None class my_linked_list: def __init__(self): self.head = None self.last_node = None def add_value(self, my_data): if self.last_node is None: ... Read More
When it is required to display the elements/nodes in a linked list, using recursion method, a method to add values to the linked list, and a method to print the elements of a Linked List. It would also have a helper method that uses recursion, i.e calls the helper function again and again to print the values.Below is a demonstration for the same −Example Live Democlass Node: def __init__(self, data): self.data = data self.next = None class my_linked_list: def __init__(self): self.head = None self.last_node = None ... Read More
When it is required to display the elements/nodes in a linked list in reverse order, using recursion method, a method to add values to the linked list, as well as a method to reverse the elements of a Linked List. It would also have a helper method that uses recursion, i.e calls the helper function again and again to compute values.Below is a demonstration for the same −Example Live Democlass Node: def __init__(self, data): self.data = data self.next = None class my_linked_list: def __init__(self): self.head = None ... Read More
When it is required to search for an element in a linked list without using recursion method, a method to add values to the linked list, as well as a method to display the elements of a Linked List.It would also have a method that helps find the index of the element that is being searched.Below is a demonstration for the same −Example Live Democlass Node: def __init__(self, data): self.data = data self.next = None class my_linked_list: def __init__(self): self.head = None self.last_node = None ... Read More
When it is required to create a linked list, and display the elements of this linked list, a method to add values to the linked list, as well as a method to display the elements of a Linked List.Below is a demonstration for the same −Example Live Democlass Node: def __init__(self, data): self.data = data self.next = None class my_linked_list: def __init__(self): self.head = None self.last_node = None def add_value(self, my_data): if self.last_node is None: self.head = ... Read More
When it is required to append the keys and values of a dictionary in order, the ‘list’ method can be used. Along with this, the ‘.keys’ and ‘.values’ method can be used access the specific keys and values of the dictionary.Below is a demonstration of the same −Example Live Demomy_dict = {"January" : 1, "Feb" : 2, "March" : 3, 'April':4, 'May' : 5, 'June' :6} print("The dictionary is : ") print(my_dict) my_result = list(my_dict.keys()) + list(my_dict.values()) print("The ordered key and value are : ") print(my_result)OutputThe dictionary is : {'January': 1, 'Feb': 2, 'March': 3, 'April': 4, 'May': ... Read More
When it is required to convert a dictionary, that contains pairs of key values into a flat list, dictionary comprehension can be used.It iterates through the dictionary and zips them using the ‘zip’ method.The zip method takes iterables, aggregates them into a tuple, and returns it as the result.Below is a demonstration of the same −Example Live Demofrom itertools import product my_dict = {'month_num' : [1, 2, 3, 4, 5, 6], 'name_of_month' : ['Jan', 'Feb', 'March', 'Apr', 'May', 'June']} print("The dictionary is : ") print(my_dict) my_result = dict(zip(my_dict['month_num'], my_dict['name_of_month'])) print("The flattened dictionary is: ") print(my_result)OutputThe dictionary is ... Read More
When it is required to extract tuples that have a specific number of elements, list comprehension can be used. It iterates over the elements of the list of tuple and puts forth condition that needs to be fulfilled. This will filter out the specific elements and stores them in another variable.Below is a demonstration of the same −Example Live Demomy_list = [(34, 56), (45, 6), (111, 90), (11, 35), (78, )] print("The list is : ") print(my_list) K = 2 print("The value of K has been initialized to" + "str(K)") my_result = [sub for sub in my_list if ... Read More
When it is required to convert a set structure into a tuple, and a tuple into a set, the ‘tuple’ and ‘set’ methods can be used.Below is a demonstration of the same −Example Live Demomy_set = {'ab', 'cd', 'ef', 'g', 'h', 's', 'v'} print("The type is : ") print(type(my_set), " ", my_set) print("Converting a set into a tuple") my_tuple = tuple(my_set) print("The type is : ") print(type(my_tuple), " ", my_tuple) my_tuple = ('ab', 'cd', 'ef', 'g', 'h', 's', 'v') print("The tuple is:") print(my_tuple) print(type(my_tuple), " ", my_tuple) print("Converting tuple to set") my_set = set(my_tuple) print(type(my_set), " ", my_set)OutputThe type is : ... Read More