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's the != (not equal) operator that returns True when two values differ, though be careful with the types because "1" != 1. This will always return True and "1" == 1 will always return False, since the types differ. Python is dynamically, but strongly typed, and other statically typed languages would complain about comparing different types. There's also the else clause:
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.
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 ...
In Python 3.5 though, PEP 484 -- Type Hints attaches a single meaning to this: -> is used to indicate the type that the function returns. It also seems like this will be enforced in future versions as described in What about existing uses of annotations:
Working on a python assignment and was curious as to what [:-1] means in the context of the following code: instructions = f.readline()[:-1] Have searched on here on S.O. and on Google but to no avail.
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.
