When it is required to append list every ‘N’th index, a simple iteration and the ‘enumerate’ attribute are used.ExampleBelow is a demonstration of the same −my_list = [13, 27, 48, 12, 21, 45, 28, 19, 63] print("The list is :") print(my_list) append_list = ['P', 'Y', 'T'] N = 3 print("The value of N is ") print(N) my_result = [] for index, element in enumerate(my_list):    if index % N == 0:       for element_in in append_list:          my_result.append(element_in)    my_result.append(element) print("The result is :") print(my_result)OutputThe list is : [13, ... Read More

When it is required to filter tuples product greater than K, a list comprehension is used.ExampleBelow is a demonstration of the same −def tuples_product(index):    my_result = 1    for element in index:       my_result *= element    return my_result my_list = [(14, 25, 17), (2, 3, 5), (81, 42, 21), (6, 2, 1)] print("The list is :") print(my_list) K = 15 print("The value of K is :") print(K) my_result = [index for index in my_list if tuples_product(index) > K] print("The result is :") print(my_result)OutputThe list is : [(14, 25, 17), (2, 3, ... Read More

When it is required to display adjacent elements in list, a method is defined that uses enumerate and a simple iteration to determine the result.ExampleBelow is a demonstration of the same −def find_adjacent_elements(my_list):    my_result = []    for index, ele in enumerate(my_list):       if index == 0:          my_result.append((None, my_list[index + 1]))       elif index == len(my_list) - 1:          my_result.append((my_list[index - 1], None))       else:          my_result.append((my_list[index - 1], my_list[index + 1]))    return my_result my_list = [13, 37, 58, 12, 41, ... Read More

When it is required to sort by units digit in a list, a method is defined that takes one parameter and uses ‘str’ and negative indexing to determine the output.ExampleBelow is a demonstration of the same −def unit_sort(element):    return str(element)[-1] my_list = [716, 134, 343, 24742] print("The list is :") print(my_list) my_list.sort(key=unit_sort) print("The result is :") print(my_list)OutputThe list is : [716, 134, 343, 24742] The result is : [24742, 343, 134, 716]ExplanationA method named ‘unit_sort’ is defined that takes an element of list as a parameter, and returns the last element after converting it to ... Read More

When it is required to remove rows with numbers, a list comprehension and the ‘not’ and ‘any’ operators are used.ExampleBelow is a demonstration of the same −my_list = [[14, 'Pyt', 'fun'], ['Pyt', 'is', 'best'], [23, 51], ['Pyt', 'fun']] print("The list is :") print(my_list) my_result = [index for index in my_list if not any(isinstance(element, int) for element in index)] print("The result is :") print(my_result)OutputThe list is : [[14, 'Pyt', 'fun'], ['Pyt', 'is', 'best'], [23, 51], ['Pyt', 'fun']] The result is : [['Pyt', 'is', 'best'], ['Pyt', 'fun']]ExplanationA list of list is defined and displayed on the console.A list comprehension ... Read More

When it is required to sort matrix by maximum row element, a method is defined that takes one parameter and uses ‘max’ method to determine the result.ExampleBelow is a demonstration of the same −def sort_max(row):    return max(row) my_list = [[15, 27, 18], [39, 20, 13], [13, 15, 56], [43, 13, 25]] print("The list is :") print(my_list) my_list.sort(key = sort_max, reverse = True) print("The result is :") print(my_list)OutputThe list is : [[15, 27, 18], [39, 20, 13], [13, 15, 56], [43, 13, 25]] The result is : [[13, 15, 56], [43, 13, 25], [39, 20, 13], ... Read More

When it is required to display the key of list value with maximum range, a simple iteration is used.ExampleBelow is a demonstration of the same −my_dict = {"pyt" : [26, 12, 34, 21], "fun" : [41, 27, 43, 53, 18], "learning" : [21, 30, 29, 13]} print("The dictionary is :") print(my_dict) max_result = 0 for sub, values in my_dict.items():    max_result = max(max_result, max(values) - min(values))    if max_result == max(values) - min(values):       result = sub print("The result is :") print(result)OutputThe dictionary is : {'pyt': [26, 12, 34, 21], 'fun': [41, 27, 43, ... Read More

When it is required to find the occurrences for each value of a particular key, a list comprehension and the lambda method is used.Below is a demonstration of the same −Examplefrom itertools import groupby my_dict = [{'pyt' : 13, 'fun' : 44}, {'pyt' : 63, 'best' : 15}, {'pyt' : 24, 'fun' : 34}, {'pyt' : 47, 'best' : 64} ] print("The dictionary is :") print(my_dict) my_key = 'pyt' print("The key value is :") print(my_key) my_result = [{keys: len(list(value))} for keys, value in groupby(my_dict, lambda index: index[my_key])] print("The result is :") print(my_result)OutputThe dictionary is : [{'pyt': ... Read More

When it is required to extract mono-digit elements, list comprehension and the ‘all operator are used.Below is a demonstration of the same −Examplemy_list = [863, 1, 463, "pyt", 782, 241, "is", 639, 4, "fun"] print("The list is :") print(my_list) my_result = [index for index in my_list if all(str(element) == str(index)[0] for element in str(index))] print("The result is :") print(my_result)OutputThe list is : [863, 1, 463, 'pyt', 782, 241, 'is', 639, 4, 'fun'] The result is : [1, 4]ExplanationA list is defined and displayed on the console.A list comprehension is used to iterate over the list, and every ... Read More

When it is required to sort dictionaries by size, a method is defined that takes one parameter and uses ‘len’ to determine the output.Below is a demonstration of the same −Exampledef get_len(element):    return len(element) my_dict = [{24: 56, 29: 11, 10: 22, 42: 28}, {54: 73, 59: 11}, {13: 39}, {31: 22, 59: 73, 57: 44}] print("The dictionary is :") print(my_dict) my_dict.sort(key=get_len) print("The result is :") print(my_dict)OutputThe dictionary is : [{24: 56, 29: 11, 10: 22, 42: 28}, {54: 73, 59: 11}, {13: 39}, {31: 22, 59: 73, 57: 44}] The result is : [{13: ... Read More