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Found 10784 Articles for Python
![Lakshmi Srinivas](https://www.tutorialspoint.com/assets/profiles/13528/profile/60_91717-1512651120.jpg)
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The help method in the interpreter is very useful for such operations. It provides a rich set of special inputs that you can give to it to get information about the different aspects of the language. Forgetting operator lists, here are some of the commands you can use:All operators>>> help('SPECIALMETHODS')Basic operators>>> help('BASICMETHODS')Numeric operators>>> help('NUMBERMETHODS')Other than operators you can also get attribute methods, callable methods, etc using −>>> help('MAPPINGMETHODS') >>> help('ATTRIBUTEMETHODS') >>> help('SEQUENCEMETHODS1') >>> help('SEQUENCEMETHODS2') >>> help('CALLABLEMETHODS')
![Sai Subramanyam](https://www.tutorialspoint.com/assets/profiles/13512/profile/60_68191-1512710774.jpg)
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Python and most mainstream languages do not allow changing how operators look. If you're trying to replace something like a == b with a equals b, you can't do that. In Python the restriction is quite intentional — an expression such as a equals b would look ungrammatical to any reader familiar with Python.
![Vikram Chiluka](https://www.tutorialspoint.com/assets/profiles/495654/profile/60_4081994-1659334126.jpg)
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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
![Samual Sam](https://www.tutorialspoint.com/assets/profiles/13514/profile/60_83486-1512649303.jpg)
2K+ Views
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
![vanithasree](https://www.tutorialspoint.com/assets/profiles/13547/profile/60_85216-1512542720.jpg)
71 Views
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
![Lakshmi Srinivas](https://www.tutorialspoint.com/assets/profiles/13528/profile/60_91717-1512651120.jpg)
2K+ Views
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.
![Prabhas](https://www.tutorialspoint.com/assets/profiles/13554/profile/60_90506-1512543588.jpg)
2K+ Views
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
![Samual Sam](https://www.tutorialspoint.com/assets/profiles/13514/profile/60_83486-1512649303.jpg)
219 Views
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 """ }
![Lakshmi Srinivas](https://www.tutorialspoint.com/assets/profiles/13528/profile/60_91717-1512651120.jpg)
332 Views
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 """ }
![Giri Raju](https://www.tutorialspoint.com/assets/profiles/13536/profile/60_72105-1512540773.jpg)
141 Views
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:{}