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

When it is required to display cross pattern pairs in list, a list comprehension and the ‘*’ operator are used.Below is a demonstration of the same −Examplemy_list_1 = [14, 35, 26] my_list_2 = [36, 24, 12] print("The first list is :") print(my_list_1) print("The second list is :") print(my_list_2) result = [i * j for j in my_list_1 for i in my_list_2] print ("The result is :") print(result)OutputThe first list is : [14, 35, 26] The second list is : [36, 24, 12] The result is : [504, 336, 168, 1260, 840, 420, 936, 624, 312]ExplanationTwo lists are ... Read More

When it is required to display nearest occurrence between two elements in a list, a method is defined that takes three parameters. It uses the ‘not in’ operator, and the list comprehension to determine the result.Below is a demonstration of the same −Exampledef nearest_occurence_list(my_list, x, y):    if x not in my_list or y not in my_list:       return -1    x_index = [index for index in range(len(my_list)) if my_list[index] == x]    y_index = my_list.index(y)    min_dist = 1000000    result = None    for element in x_index:       if abs(element - y_index) < min_dist: ... Read More

When it is required to filter tuple with integers, a simple iteration and the ‘not’ operator and the ‘isinstance’ method is used.ExampleBelow is a demonstration of the same −my_tuple = [(14, 25, "Python"), (5, 6), (3, ), ("cool", )] print("The tuple is :") print(my_tuple) my_result = [] for sub in my_tuple: temp = True for element in sub: if not isinstance(element, int): temp = False break ... Read More

When it is required to extract tuples with elements in a given range, the filter and lambda methods are used.ExampleBelow is a demonstration of the same −my_list = [(13, 15, 17), (25, 56), (13, 21, 19 ), (44, 14)] print("The list is :") print(my_list) beg, end = 13, 22 my_result = list(filter(lambda sub : all(element >= beg and element