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When it is required to multiply all the elements in a dictionary, the key values in the dictionary are iterated over. The key is multiplied with the previous key, and output is determined.The dictionary is a set of key-value pairs.ExampleBelow is a demonstration for the same − Live Demomy_dict = {'Jane':99, 'Will':54, 'Mark':-3} my_result = 2 for key in my_dict: my_result = my_result * my_dict[key] print("The reuslt of multiplying keys in a dictionary is : ") print(my_result)OutputThe reuslt of multiplying keys in a dictionary is : -32076ExplanationA dictionary is defined.A variable is assigned a certain value.The ‘key’ in the dictionary ... Read More
When it is required to generate a dictionary that contains numbers within a given range in a specific form, the input is taken from the user, and a simple ‘for’ loop is used.ExampleBelow is a demonstration for the same − Live Demomy_num = int(input("Enter a number.. ")) my_dict = dict() for elem in range(1, my_num+1): my_dict[elem] = elem*elem print("The generated elements of the dictionary are : ") print(my_dict)OutputEnter a number.. 7 The generated elements of the dictionary are : {1: 1, 2: 4, 3: 9, 4: 16, 5: 25, 6: 36, 7: 49}ExplanationThe number is taken as user input.An ... Read More
When it is required to concatenate two dictionaries into a single entity, the ‘update’ method can be used.A dictionary is a ‘key-value’ pair.Below is a demonstration for the same −Example Live Demomy_dict_1 = {'J':12, 'W':22} my_dict_2 = {'M':67} print("The first dictionary is :") print(my_dict_1) print("The second dictionary is :") print(my_dict_2) my_dict_1.update(my_dict_2) print("The concatenated dictionary is :") print(my_dict_1)OutputThe first dictionary is : {'J': 12, 'W': 22} The second dictionary is : {'M': 67} The concatenated dictionary is : {'J': 12, 'W': 22, 'M': 67}ExplanationTwo dictionaries are defined, and are displayed on the console. The ‘update’ method is called on the first dictionary by ... Read More
When it is required to reverse a string without using recursion technique, simple negative indexing can be used.Indexing helps the values to access the elements at a specific index.ExampleBelow is a demonstration for the same − Live Demomy_string = str(input("Enter a string that needs to be reversed: ")) print("The string after reversal is: ") print(my_string[::-1])OutputEnter a string that needs to be reversed: Jane The string after reversal is: enaJExplanationThe string input is taken by the user.This value is assigned to a variable.It is displayed on the console.It is negative indexed and displayed on the console.Read More
When it is required to flatten a list without using recursion technique, the lambda function, ‘sum’ method, ‘map’ method and the ‘isinstance’ 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).The ‘isinstance’ method checks to see if a given parameter belong to a specific data type or not.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 ... Read More
When it is required to find the factorial of a number without using recursion, the ‘while’ loop can be used.ExampleBelow is a demonstration for the same − Live Demomy_num = int(input("Enter a number :")) my_factorial = 1 while(my_num>0): my_factorial = my_factorial*my_num my_num=my_num-1 print("The factorial of the number is : ") print(my_factorial)OutputEnter a number :7 The factorial of the number is : 5040ExplanationThe input number is takne from the user.A variable is assigned to 1.It is checked to see for being 0.If not, it is multiplied by the previous value in the variable.It is assigned to the same variable.This is ... Read More
When it is required to find the Fibonacci series without using recursion technique, the input is taken from the user, and a ‘while’ loop is used to get the numbers in the sequence.ExampleBelow is a demonstration for the same − Live Demofirst_num = int(input("Enter the first number of the fibonacci series... ")) second_num = int(input("Enter the second number of the fibonacci series... ")) num_of_terms = int(input("Enter the number of terms... ")) print(first_num, second_num) print("The numbers in fibonacci series are : ") while(num_of_terms-2): third_num = first_num + second_num first_num=second_num second_num=third_num print(third_num) num_of_terms=num_of_terms-1OutputEnter the first number of the ... Read More
When it is required to find the length of a list with the help of recursion technique, a user defined method is used, and simple indexing technique is 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).The recursion computes output of small bits of the bigger problem, and combines these bits to give the solution to the bigger problem.ExampleBelow is a demonstration for the same − Live Demodef list_length(my_list): if not my_list: return 0 return 1 + list_length(my_list[1::2]) + list_length(my_list[2::2]) my_list = ... Read More
When it is required to find the total sum of a nest list using the recursion technique, a user defined method is used, that takes the list as a parameter.The recursion computes output of small bits of the bigger problem, and combines these bits to give the solution to the bigger problem.A list can be used to store heterogeneous values (i.e data of any data type like integer, floating point, strings, and so on).ExampleBelow is a demonstration for the same − Live Demodef recursion_sum(my_list): my_total = 0 for elem in my_list: if (type(elem) == type([])): ... Read More
When it is required to flatten a given nested list using recursion technique, simple indexing, and the ‘isinstance’ method can be used along with recursion.The recursion computes output of small bits of the bigger problem, and combines these bits to give the solution to the bigger problem.ExampleBelow is a demonstration for the same − Live Demodef flatten_list(my_list): if my_list == []: return my_list if isinstance(my_list[0], list): return flatten_list(my_list[0]) + flatten_list(my_list[1:]) return my_list[:1] + flatten_list(my_list[1:]) my_list = [[1, 2], [3, 4], [90, 11], [56, 78], [[34, 56]]] print("The list is :") print(my_list) print("The ... Read More