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In this article, we will explain the correct name of the * operator available in python. In Python, you'll encounter the symbols * and ** used frequently. Many Python programmers, especially those at the intermediate level, are confused by the asterisk (*) character in Python. The *args argument is called the "variable positional parameter" and **kwargs is the "variable keyword parameter". The * and ** arguments just unpack their respective data structures.Using Asterisk ( * ) Operator in Multiplication  Algorithm (Steps) Following are the Algorithm/steps to be followed to perform the desired task − Create two variables and ... Read More

The += operator is syntactic sugar for object.__iand__() function. From the python docs:These methods are called to implement the augmented arithmetic assignments (+=, -=, *=, @=, /=, //=, %=, **=, =, &=, ^=, |=). These methods should attempt to do the operation in-place (modifying self) and return the result (which could be, but does not have to be, self).ExampleSo when you do something like −a = 6 # 110 in binary b = 5 # 101 in binary a &= b # a changes to and of 110 and 101, ie, 100, ie, 4 print(a)OutputThis will give the output −15a ... Read More

The += operator is syntactic sugar for object.__iadd__() function. From the python docs:These methods are called to implement the augmented arithmetic assignments (+=, -=, *=, @=, /=, //=, %=, **=, =, &=, ^=, |=). These methods should attempt to do the operation in-place (modifying self) and return the result (which could be, but does not have to be, self).ExampleSo when you do something like −a = 5 b = 10 a += b print(a)OutputThis will give the output −15a is being modified in place here. You can read more about such operators on https://docs.python.org/3/reference/datamodel.html#object.__iadd__.The =+ operator is the same as ... Read More

You can do this by iterating over the dictionary and filtering out zero values first. Then take the sum of the filtered values. Finally, divide by the number of these filtered values. examplemy_dict = {"foo": 100, "bar": 0, "baz": 200} filtered_vals = [v for _, v in my_dict.items() if v != 0] average = sum(filtered_vals) / len(filtered_vals) print(average)OutputThis will give the output −150.0You can also use reduce but for a simple task such as this, it is an overkill. And it is also much less readable than using a list comprehension.

The easiest and most readable way to access nested properties in a Python dict is to use for loop and loop over each item while getting the next value, until the end. exampledef getFromDict(dataDict, mapList): for k in mapList: dataDict = dataDict[k] return dataDict a = {    'foo': 45,'bar': {       'baz': 100,'tru': "Hello"    } } print(getFromDict(a, ["bar", "baz"]))OutputThis will give the output −100

You can put comments like you normally would anywhere in a python script. But note that you can only put single line comments using #. Multiline comments act like strings and you cannot put just a string in between definition of a dict. For example, the following declaration is perfectly valid −ExampletestItems = {    'TestOne': 'Hello',    # 'TestTwo': None, }But the following is not −testItems = {    'TestOne': 'Hello',    """    Some random    multiline comment    """ }

You can put comments like you normally would anywhere in a python script. But note that you can only put single line comments using #. Multiline comments act like strings and you cannot put just a string in between definition of a dict. For example, the following declaration is perfectly valid:testItems = {    'TestOne': 'Hello',    # 'TestTwo': None, }But the following is not:testItems = {    'TestOne': 'Hello',    """    Some random    multiline comment    """ }

You can use the del function to delete a specific key or loop through all keys and delete them. For example,my_dict = {'name': 'foo', 'age': 28} keys = list(my_dict.keys()) for key in keys:    del my_dict[key] print(my_dict)This will give the output:{}You can also use the pop function to delete a specific key or loop through all keys and delete them. For example,my_dict = {'name': 'foo', 'age': 28} keys = list(my_dict.keys())for key in keys:my_dict.pop(key) print(my_dict)This will give the output:{}

You can access a dictionary value to a variable in Python using the access operator []. examplemy_dict = {    'foo': 42,'bar': 12.5 } new_var = my_dict['foo'] print(new_var)OutputThis will give the output −42You can also access the value using the get method on the dictionary. examplemy_dict = {    'foo': 42,'bar': 12.5 } new_var = my_dict.get('foo') print(new_var)OutputThis will give the output −42

If you have a dict with string-integer mappings, you can use the max method on the dictionary's item pairs to get the largest value. exampled = {    'foo': 100,    'bar': 25,    'baz': 360 } print(max(k for k, v in d.items()))OutputThis will give the output −foofoo is largest in alphabetical order.