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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.
For example, in some languages the ^ symbol means exponentiation. You could do that this way, just as one example: class Foo(float): def __xor__(self, other): return self ** other. Then something like this will work, and now, for instances of Foo only, the ^ symbol will mean exponentiation.
A Python dict, semantically used for keyword argument passing, is arbitrarily ordered. However, in Python 3.6+, keyword arguments are guaranteed to remember insertion order. "The order of elements in **kwargs now corresponds to the order in which keyword arguments were passed to the function." - What’s New In Python 3.6. In fact, all dicts in ...
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.
In Python, += is sugar coating for the __iadd__ special method, or __add__ or __radd__ if __iadd__ isn't present. The __iadd__ method of a class can do anything it wants. The list object implements it and uses it to iterate over an iterable object appending each element to itself in the same way that the list's extend method does.
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:
It's an operator in Python that can mean several things depending on the context. A lot of what follows was already mentioned (or hinted at) in the other answers but I thought it could be helpful to provide a more extensive summary. % for Numbers: Modulo operation / Remainder / Rest. The percentage sign is an operator in Python. It's described as:
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.
In Python 2.2 or later in the 2.x line, there is no difference for integers unless you perform a from __future__ import division, which causes Python 2.x to adopt the 3.x behavior. Regardless of the future import, 5.0 // 2 will return 2.0 since that's the floor division result of the operation.
6. ** is indeed faster then math.pow (), but if you want a simple quadratic function like in your example it is even faster to use a product. 10.*10. will be faster then. 10.**2. The difference is not big and not noticable with one operation (using timeit), but with a large number of operations it can be significant.