Hi, I am studying Multiple dispatch, and have some troubles. While studying Julia language, I understood that Multiple dispatch is something that selecting which method to be applied based on the argument’s type. In that sense, I understood that even the simple “+” function of Julia has multiple …

For me the confusion comes from where to apply the term “multiple”. It does not mean that there are multiple methods, but that they are chosen depending on the types of one or more arguments.

Sorry for asking u again, but when user defines his own functions in Python, he can make multiple arguments(Below example, multiple arguments are ‘a’ and ‘b’) as input parameters and also is able to set both types. For example, def f(a:int, b:int): return(a+b) f(1.0, 2) # 3.0 I used 1.0 as a…

So, I’m not very good at Python, but from what I understand you can have multiple methods of the same function if you create them as “instance methods”. So foo.bar(baz) chooses a method based on the type of foo. In Julia, this would be bar(foo, baz), and you can have different methods depending on t…

matt@pox:~$ python3 Python 3.9.2 (default, Feb 28 2021, 17:03:44) [GCC 10.2.1 20210110] on linux Type "help", "copyright", "credits" or "license" for more information. >>> …

[image] how: So, in case of the Python, your code only works for (a::Float64, b::Float64), not for the previous code with (a::Int64, b::Int64). It goes perhaps without saying that you can’t add methods for a custom f function in Python for the standard int and float classes, because classes i…

[image] how: I read that Python is not able to implement multiple dispatch. It is possible to get multiple dispatch in Python: multipledispatch · PyPI I don’t know how well it works. But the things that make multiple dispatch great in Julia are that it is used everywhere, and that it is fast,…

[image] how: I used 1.0 as an input parameter which is not an int type, but still got an answer. It shows that python does not care about the type unlike Julia anyway. Type annotations in Python are purely for the user. The (standard) Python interpreter doesn’t use them, only special tools l…

I really suggest editing out the medium article, it completely misses the point of what makes multiple dispatch “multiple” and shows only single-argument examples. If I did not know Julia and wanted to defend the use of Python in my lab/office, I would use it as a prime example of Julia people do no…

Excuse me, but I read the article u are pointing out a few days ago, and I did not realize what’s going wrong with the examples in the article. Could you explain a bit more about what points the article missed about the real meaning of “multiple dispatch”? In the article, it shows below codes as a…

I am seriously eager to show others that Julia is fast, for its multiple dispatch. But it is hard to prove, and below experiment shows that the python’s overloading is actually more faster than Julia’s multiple dispatch. You can compare the time consumed. Python’ overloading from math import cei…

The examples you gave are just simple dispatch, you only have one argument and a method for each type, that’s fine in python i.e: import functools import math @functools.singledispatch def f(x): # some default logic print("I am the default implementation.") @f.register(str) def _(x): …

Understanding multiple dispatch

General Usage

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Understanding multiple dispatch

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