Search results
Results from the Tech24 Deals Content Network
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.
All of the above answers were perfectly clear and complete, but just for the record I'd like to confirm that the meaning of * and ** in python has absolutely no similarity with the meaning of similar-looking operators in C.
From the Python 3 docs: The power operator has the same semantics as the built-in pow () function, when called with two arguments: it yields its left argument raised to the power of its right argument. The numeric arguments are first converted to a common type, and the result is of that type. It is equivalent to 2 16 = 65536, or pow(2, 16) Just ...
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:
When slicing in Python the third parameter is the step. As others mentioned, see Extended Slices for a nice overview. With this knowledge, [::3] just means that you have not specified any start or end indices for your slice. Since you have specified a step, 3, this will take every third entry of something starting at the first index. For example:
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.
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.
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:
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.