In Python this is simply =. To translate this pseudocode into Python you would need to know the data structures being referenced, and a bit more of the algorithm implementation. Some notes about psuedocode: := is the assignment operator or = in Python = is the equality operator or == in Python There are certain styles, and your mileage may vary:
There is no bitwise negation in Python (just the bitwise inverse operator ~ - but that is not equivalent to not). See also 6.6. Unary arithmetic and bitwise/binary operations and 6.7. Binary arithmetic operations. The logical operators (like in many other languages) have the advantage that these are short-circuited. That means if the first operand already defines the result, then the second ...
An @ symbol at the beginning of a line is used for class and function decorators: PEP 318: Decorators Python Decorators - Python Wiki The most common Python decorators are: @property @classmethod @staticmethod An @ in the middle of a line is probably matrix multiplication: @ as a binary operator.
As far as the Python languages is concerned, _ generally has no special meaning. It is a valid identifier just like _foo, foo_ or _f_o_o_. The only exception are match statements since Python 3.10: In a case pattern within a match statement, _ is a soft keyword that denotes a wildcard. source Otherwise, any special meaning of _ is purely by ...
Side note, seeing as Python defines this as an xor operation and the method name has "xor" in it, I would consider it a poor design choice to make that method do something not related to xor like exponentiation. I think it's a good illustrative example of how it simply calls the __xor__ method, but to do that for real would be bad practice.
Python slicing is a computationally fast way to methodically access parts of your data. In my opinion, to be even an intermediate Python programmer, it's one aspect of the language that it is necessary to be familiar with.
In Python 3, the iteration has to be over an explicit copy of the keys (otherwise it throws a RuntimeError) because my_dict.keys() returns a view of the dictionary keys, so any change to my_dict changes the view as well.
In a comment on this question, I saw a statement that recommended using result is not None vs result != None What is the difference? And why might one be recommended over the other?
